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Tag: Influxdata

  • The Time for Time Series Data

    The Time for Time Series Data

    More than four years ago, we launched InfluxDB, an open source time series platform. In the years since, time series technology has become increasingly popular; according to DB-Engines, over the last 24 months time series has been the fastest growing database category. This popularity is fueled by the “sensorification” of the physical world (i.e., IoT) and the rapidly increasing instrumentation requirements of the next generation of software. InfluxDB has millions of downloads, an expanding list of enterprise customers and a growing community that is always finding new ways to deploy and build on our platform and we believe we are just scratching the surface.

    Amazon Web Services (AWS) recently entered the market with Timestream, a hosted time series database. We have been evangelizing the importance of high compression, super fast engines and a purpose-built stack for time series data and Amazon seems to have followed this model pretty closely. We are excited to have more competition in the market, as it affirms the broader market opportunity and further validates the need for robust, purpose-built solutions such as InfluxData. Amazon makes smart and strategic moves and we know that when it enters a new space, it’s not done so haphazardly—there is a lot of thought and research that goes into identifying the commercial potential, so its play in the time series database space is further evidence of what we already knew: that building a time series platform on existing multipurpose SQL or NoSQL databases is a nonstarter for a modern enterprise. AWS is a bedrock of the modern cloud-based internet and we are excited to see how Timestream evolves.

    Public details about Timestream’s technical capabilities are limited, but based on the AWS model, there are likely several significant differences between our offerings—enough to appeal to distinct developers and use cases. Among them:

    • Open source — We are first and foremost an open source company. We are committed to sharing ideas and information openly, collaborating on solutions and providing full transparency to drive innovation. InfluxData’s products are continuously improved by an energized group of developers that help to make them more reliable, secure and awesome. The power of the open source community to drive innovation is unsurpassed by any proprietary software solutions.

    • Hybrid cloud and on-premises support — Distributing assets on any or across multiple cloud-hosting environments is often the best choice for companies. Key among the advantages is avoiding vendor lock-in, which can limit the ability to customize systems and negotiate better rates, ultimately making it very difficult—and expensive—to change cloud providers to meet ever-evolving business and technical needs. Every business has specific functionalities and a hybrid cloud system offers the flexibility to choose services that best fit their needs, whether it’s to support GDPR regulatory requirements or teams that are spread across multiple providers. And from an operations perspective, a multi-cloud system increases efficiencies and provides another layer of security to ensure there is no downtime.

    Inevitably, as recognition of the power of time series data becomes more prominent, we’ll see even more competitors enter the space. And this is great from our perspective: Not only does competition fuel innovation, it grows the market as a whole. More importantly, it keeps us vigilant and focused on delivering value for the developers and those in the DevOps space who solve real-world problems with our platform.

    Our priorities remain the same and we will proceed on the track we’re laying for the future. We will continue to push the edge with this technology—leveraging the advantages of a purpose-built system, developing new languages, supporting new platforms and new workloads and pursuing exciting opportunities as they come. We are committed to having a project with velocity, investing in the platform to make it successful and in the community of creative and talented developers who are discovering new ways to deploy our time series platform every day.

    InfluxDB is available now and we encourage developers, both existing users and those who are just learning about the power of time series databases, to download and get up and running in minutes.

    — Evan Kaplan

  • InfluxData Video Series: Dealing with Large Amounts of Data

    InfluxData Video Series: Dealing with Large Amounts of Data

    The data deluge is becoming a daily issue, as companies collect ever more data from ever more devices and endpoints. But collecting data is one thing; deriving value from it is another.

    In this video, InfluxData VP of Products Tim Hall discusses some of the considerations in dealing with large amounts of data and how a time series database can help.

    “The vast majority of data systems that exist today are not really set up to ingest and analyze that data at speed,” he said, which can pose a real issue for organizations looking for actionable insights from their data in real-time. Time series databases enable ingestion and analysis instantly, with an ingest pipeline that allows users to gather and shape data to be useful upstream.

     

     

    To learn more, watch the video and download the “Benefits of a Purpose-Built Platform” infographic here. Also, check out the first video in the series here, the second video here and the third video here.

    — Charlene O’Hanlon

  • The Benefits of a Purpose-Built Platform

    The Benefits of a Purpose-Built Platform

    When it comes to storing metrics and events, a time series database provides a number of benefits that general purposes databases don’t, including high velocity, range scans over large chunks of data, efficient data eviction and compression. But time series isn’t just about the database; it’s also about the ecosystem of tools built around it.

    In this video, InfluxData founder Paul Dix discusses how his company has created an ecosystem comprised of tools that developers can use to solve problems without having to do much coding or configuration to derive insight or value from the data. He also outlines the benefits of using a time series database over a relational database or a Postgres database, including lower cost and fewer tools targeted to real-time monitoring and alerting.

    In addition, Dix talks about Flux, the company’s latest scripting and query language, which was designed to be even more developer-friendly in every way. “It’s basically been years in the making, so it’s pretty exciting to finally get it out there,” he said.

     

     

    To learn more, watch the video and download the “Benefits of a Purpose-Built Platform” infographic here. Also, check out the first video in the series here and the second video here.

    — Charlene O’Hanlon

  • InfluxData Video Series: ‘Time to Awesome’ with Mark Herring

    InfluxData Video Series: ‘Time to Awesome’ with Mark Herring

    InfluxData firmly believes an awesome experience is fundamental in developing and curating its developer community. After all, the company’s platform is designed for developers, said CMO Mark Herring, and so delivering a great experience is in the company’s DNA. “We want them to have an awesome experience from the first download to the first interaction with the company to the first install, to first getting started, to first production database.”

    Part of that great experience includes an open source platform that takes only about five minutes to get up and running. “It comes down to one piece—the whole platform is there—and you can ingest the data, you can visualize you can query the data in literally about five minutes,” Herring said.

    In this video—the second in a series of four—Herring talks about the importance of “time to awesome” in every consideration InfluxData makes regarding its platform, its overwhelming acceptance by the developer community and how the company will continue to strive for an even better “time to awesome.”

     

     

     

    To learn more, watch the video and download the “Time to Awesome” infographic here. Also, check out the first video in the series here.

    — Charlene O’Hanlon

  • InfluxData and Sensu Offer Joint Solution to Handle Time Series Data in Event Monitoring Pipeline

     InfluxDB Enterprise Edition and InfluxCloud Now Integrated as Preferred Time Series Data Store in Sensu Core for Application and Infrastructure Event Monitoring

     SAN  FRANCISCO — Nov. 27, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data, today announced its strategic partnership with Sensu. The two companies have collaborated on a joint solution, adding the ability to handle large time series data workloads to Sensu’s market-leading monitoring software for critical applications and enterprise infrastructure.

    Sensu’s products – now in use by large organizations in the finance and technology sectors – are deployed on customers’ own infrastructure and allow IT, development and operations teams to easily monitor and collect metrics from throughout the infrastructure stack. Then, customers can analyze that data through special dashboards to remediate IT-performance issues.

    With the addition of InfluxData’s platform, the Sensu Core product line can now handle large workloads of time series data, streaming from any infrastructure source that sends data to Sensu. Developers using Sensu Core can now collect, process, analyze, and store even larger data workloads using any of InfluxData’s products, including InfluxDB open source, InfluxDB Enterprise Edition, and InfluxCloud, InfluxData’s managed database-as-a-service offering.

    “As more companies use software to deliver value to customers, the availability of that software is increasingly important,” said Caleb Hailey, CEO of Sensu. “Monitoring has become a core competency for IT organizations, and our goal is to deliver a product that scales with the needs of these organizations, helping them eliminate downtime and revenue loss as a result.”

    “We are excited to partner with Sensu and bring our time series data platform to developers running multi-cloud deployments,” said Brian Mullen, VP of Business Development at InfluxData. “Multi-cloud distribution is a reality; and with this comes exponential growth in data – specifically time series data. With Sensu we bring together two purpose-built tools to optimize the developer experience for monitoring multi-cloud deployments.”

    The companies have entered into a partnership agreement, in which Sensu will include InfluxData products as their preferred time series platform in the Sensu Core and Sensu Core Enterprise products, respectively, sold to customers around the world. For more information, see https://monitoringlove.sensu.io/influx.

    About Sensu

    Sensu’s mission is to obviate the need to build custom monitoring solutions. Founded in 2017, the firm aims to empower companies to deliver value to their customers faster, at a larger scale, and with the full confidence that comes from deep visibility into the health of their infrastructure, applications and business. The company maintains the free and open source Sensu Core framework, as well as the commercially supported Sensu Enterprise, which enhances the open source framework with features to simplify operations and governance, and multi-datacenter support for fast-paced companies to run monitoring at scale.

    Sensu currently operates as a fully distributed team, with 20 employees in the United States and Canada, and will soon open its first office in Portland, Oregon. For more information, follow Sensu on Twitter @sensu, or visit its website at https://sensu.io.

    About InfluxData

    InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 450 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

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    InfluxData, InfluxCloud, InfluxDB, InfluxEnterprise, and Telegraf are all trademarked by InfluxData. All other trademarks are the property of their respective owners.

     

  • InfluxData Time Series Database Extends Industry Lead with Performance and Data Compaction Enhancements in Latest Release

    Company Also Launches Technical Preview of Industry’s First Purpose-Built Functional Query Language for Time Series Data Ready for Developer Community Trial and Feedback

    SAN FRANCISCO — Nov. 7, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced the release of InfluxDB 1.7, delivering important query performance and data compaction enhancements to the leading Time Series Database. Announced at InfluxDays SF 2018, this new functionality gives developers powerful tools they have been asking for to query and process time series data used for monitoring IoT, DevOps, cloud, containers, and real-time analytics data.

    InfluxDB is InfluxData’s Time Series Database used as a data store for any use case involving large amounts of time-stamped data – including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics. These enhancements announced today, as recommended by the community, further the gap between the functionality of InfluxDB – recognized as the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results – and the competition.

    InfluxData has also announced the technical preview of Flux, the industry’s first purpose-built functional query language for time series data. Flux combines data query and processing in a single powerful and extensible open source language, which is enriched through user contributions. Developers are encouraged to use Flux and provide feedback to help shape the future of the time series data scripting.

    “InfluxDB is one of the most popular data sources for Grafana, and Flux is a powerful query processing engine, so we were excited to develop a first-class integration for Flux,” said David Kaltschmidt, Director, UX, Grafana Labs. “The Flux plugin comes with a new query environment which includes syntax highlighting, tag completion, raw table preview, and inline function documentation to help you get the most out of using Flux with Grafana.”

    The open source InfluxDB 1.7 delivers major improvements around query performance and throughput when using the Time Series Index (TSI), which supports large numbers of unique time series data that is ephemeral and stored in Time Series Databases.

    The technical preview for Flux is available today for developers’ trial and feedback. A getting started guide is available now from https://bit.ly/2qph9Xx which provides specific examples along with a reference for the language semantics. Developers are encouraged to use the InfluxData community site (https://community.influxdata.com) to ask questions and share experiences. To launch the Flux technical preview, InfluxData will host Office Hours today at InfluxDays SF 2018 to continue efforts towards finalizing the language, address questions, and take additional feedback.

    “Performance, data compaction and Time Series Index improvements help InfluxData maintain its leadership position in this category by delivering superior performance and meeting the advanced needs of the developers,” said Tim Hall, VP of Products. “InfluxData has been working closely with the developer community in defining the Flux language. We look forward to developers downloading Flux, using it and providing us with useful feedback to help make the language a success.”

    Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications.

    InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 450 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

    Availability

    InfluxDB 1.7 is available today. It is available for download at https://portal.influxdata.com/downloads .

    About InfluxData

    InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 450 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

     

  • DB-Engines’ Latest Industry Results Reveal InfluxData’s Overwhelming Leadership Position in Rapidly Growing Time Series Database Category

    InfluxData Increases Industry Lead with Growing Popularity of 49 Percent; Overall Industry Popularity Nearly 3 Times More than Closest Competitor

     SAN FRANCISCO — Oct. 16, 2018 — InfluxData, a modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced its continued position as the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results published this month.

    According to DB-Engines’ October results, InfluxDB continues its unquestioned lead, outpacing the competition with its popularity increasing 49 percent over the past 12 months and 144 percent over the past two years. InfluxDB is InfluxData’s Time Series Database used as a data store for any use case involving large amounts of time-stamped data – including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics.

    The DB-Engines results included rankings of the leading vendors in the Time Series Database category, with InfluxDB’s user popularity ranking nearly 3 times more than the nearest competitor. InfluxDB’s user popularity also scored the biggest increases over the past month and year, as compared to the competitive field.

    DB-Engines is an initiative to collect and present information on database management systems (DBMS). DB-Engines also ranked the overall Time Series Database Management System category, which continues to grow in popularity with a 38 percent year-over-year increase, and a 108 percent two-year increase. Overall, InfluxDB continues to show strong popularity among all databases ranked, increasing its ranking to 36 overall, up from 40 a year ago.

    “When monitoring how well tools, applications, solutions, and hardware/software are doing, you are always looking at data that is time-stamped, making Time Series databases a fundamental requirement to collect, store and act upon that data as efficiently as possible,” said Mark Herring, InfluxData CMO. “Time Series workloads are unique and are best served by a Time Series database instead of a traditional database. The growth in this database segment is proof that users are finding its capabilities important in collecting and storing data that shows metrics and events for IoT sensors, DevOps monitoring, and real-time analytics.”

    Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData’s unique features enable customers to quickly build:

    • Monitoring, alerting and notification applications supporting their DevOps initiatives
    • IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
    • Real-time analytics applications that are focused on streaming data and anomaly detection

    InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

    About InfluxData

    InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 420 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

  • InfluxData Integrates with Google Cloud IoT Core to Improve Users’ IoT Environments with Expanded Data Collection and Analysis

    Google Cloud IoT Core now Includes Powerful Time Series Platform to Help Users Improve Operational Efficiency and Real-Time Decision Making from IoT Sensor Data

    LONDON (Google Cloud NEXT London) — Oct. 10, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced the availability of a new Telegraf agent for Google Cloud IoT Core. Now Google Cloud IoT Core users can get better insight and analytics from their IoT environments by using the leading time series database solution to provide continuous insight, improve operational efficiency, and better optimize their businesses with real-time decision making and control.

    Google Cloud IoT Core is a complete set of tools to connect, process, store, and analyze data both at the edge and in the cloud. InfluxData’s Telegraf is a plugin-driven server agent for collecting and reporting metrics and data. With this new Telegraf plugin, organizations can derive value by monitoring and tracking sensor data, using historical data from sensors to gain insights that can be applied to current situations (predictive maintenance, optimized traffic routing), and delivering automated action and control (such as shutting down a leaking water pump) with no human interaction. Google Cloud IoT Core can help customers maximize ROI of their IoT applications by capturing, understanding and acting on data collected from IoT devices and sensors in real time.

    “InfluxData’s ability to integrate with Google Cloud IoT Core enables us to address the time series data collection and analysis needs of IoT customers, and we are pleased to be a new contributing member to the Google Cloud IoT ecosystem,” said Sharjeel Noor, Senior Director, Platform & Partnerships at InfluxData. “This effort fits with our IoT strategy where we focus on being the data services platform of choice, and offer these benefits as a part of larger ecosystems, such as Google Cloud.”

    IoT ROI is only as good as the real-time data collected and available to be analyzed for real-time decision making. IoT data is time series data, and InfluxData delivers the leading Time Series Platform that ensures data is collected and analyzed in real-time. InfluxData provides the data services layer to Google Cloud IoT Core that allows users to collect time series data for instrumenting, observing, learning and automating any system.

    Since the Telegraf project’s inception, the majority of the 160 plugins available today have been built by the community and not InfluxData engineers, demonstrating the vibrant contributions from its community. Subject matter experts easily create new Telegraf plugins helping the community quickly collect a wider range of metrics. As a result, any updates to existing plugins or the introduction of new plugins are available to customers, including Google Cloud IoT Core customers, in real time to quickly gather custom metrics about their workloads. Google Cloud IoT Core customers can be up and running in a few hours to easily collect and store their IoT data in a purpose-built time series database within the Google Cloud IoT ecosystem for alerts, monitoring and real-time decision making.

    In addition, now Google Cloud users have one-click access to InfluxData’s Time Series Platform for collection and analysis of metrics and events data for real-time decision making through InfluxData’s new Google Cloud Platform (GCP) Marketplace listing at https://console.cloud.google.com/marketplace/details/influxdata-public/influxdb-enterprise-byol. Users can find simple one-click configuration available for the Telegraf-InfluxData-Grafana VM package. In the future, several popular one-click configurations such as the Prometheus-InfluxData-Grafana VM package are also planned for release. This furthers InfluxData’s mission to help developers get to results faster by providing automated provisioning mechanisms on their favorite cloud platform.

    InfluxData delivers a modern IoT data platform built from the ground up to support organizations looking to best leverage the wealth of IoT data delivered from their devices and sensors to provide an advantage for their customers. IoT data is unique in that sensors deliver time-stamped or time series data to measure change over time, the data is streamed relentlessly from sensors, and sensors capture and emit data in real time. With InfluxData, companies always have a direct view into the state of each of their devices and sensors so changes can be made to keep services running efficiently. Its InfluxDB database is the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results.

    InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

    About InfluxData

    InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, more easily, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 420 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

  • InfluxData’s Latest Release Delivers LDAP Integration, Advanced Analytics and Self-Healing Capabilities in Leading Time Series Platform

    Organizations Can Now See Established Organizational Policies for Faster Time to Market while Preserving Data Security and Privacy

    SAN FRANCISCO — Aug. 14, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced the latest release of InfluxEnterprise, which delivers LDAP integration, new advanced analytics and self-healing capabilities in the leading time series database platform.

    The increasing complexity of systems is driving the need for observability since even a small improvement in system behavior can have a significant impact on the bottom line. Time series data, collected and stored with InfluxData’s Time Series database platform, is integral to observability and is becoming mission critical for organizations. Today’s enhancements to InfluxEnterprise make it easier for administrators to keep this mission critical data available and secure by checking and verifying every requested action – including creating databases, storing data and running queries – against a user’s stored authorizations and role.

    Updates to InfluxEnterprise include:

    • Integration with LDAP: InfluxEnterprise now supports authenticating users against LDAP, making it easier for site administrators to securely manage critical time series data and users. This also speeds adoption of the InfluxData platform by improving the user experience through single sign-on (SSO) and meeting security compliance requirements of internal operations for protecting private data.
    • Advanced Analytical Functions: InfluxData’s new release adds advanced analytical functions for mathematical and advanced financial modeling, enabling use of time series data to create complex financial models. These functions are important for data analysis to help teams understand system behavior to predict outages in early stages.
    • Advanced Data Replication: InfluxData’s advanced data replication with self-healing automatically detects data inconsistencies, resulting for example from hardware failure or user error, and resolves them so data across all nodes is consistent. This gives the team peace of mind knowing that the data they rely so heavily on to keep their systems running is always available.

    “Time series platforms are being adopted faster than any other database technology, due to their unique abilities to monitor and analyze IoT, DevOps, Cloud, and Containers; and provide analytics for real-time decision making,” said Mark Herring, InfluxData CMO. “As time series platforms continue to gain broader adoption within the enterprise, it’s imperative that these platforms fit well with the rest of the IT systems.”

    Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. Its InfluxDB database is the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results published earlier this quarter. InfluxData’s unique features enable customers to quickly build:

    • Monitoring, alerting and notification applications supporting their DevOps initiatives
    • IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
    • Real-time analytics applications that are focused on streaming data and anomaly detection

    InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

    Availability

    InfluxData’s new release is available now via download for all existing InfluxEnterprise customers. New customers wanting to try these features can download the free trial at https://portal.influxdata.com/users/new.

    About InfluxData

    InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 420 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

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    InfluxData, InfluxCloud, InfluxDB and InfluxEnterprise are all trademarked by InfluxData. All other trademarks are the property of their respective owners.

  • DB-Engines’ Latest Industry Results Reveal InfluxData’s Continued Leadership Position in Rapidly Growing Time Series Database Category

    InfluxData Maintains Industry Lead by Increasing Popularity More than 44 Percent – More than 3 Times More than Closest Competitor

     

    SAN FRANCISCO — July 17, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced its continued position as the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results published this month.

    According to DB-Engines’ July results, InfluxDB continues its unquestioned lead, outpacing the competition with its popularity increasing more than 44 percent over the past 12 months and more than 160 percent over the past two years. InfluxDB is InfluxData’s Time Series Database used as a data store for any use case involving large amounts of timestamped data – including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics. The DB-Engines results included rankings of the leading vendors in the Time Series Database category, with InfluxDB’s user popularity ranking more than three times more than the nearest competitor.

    DB-Engines is an initiative to collect and present information on database management systems (DBMS). DB-Engines also ranked the overall Time Series Database Management System category, which continues to grow in popularity with a 33 percent year-over-year increase, and a more than 100 percent two-year increase. Overall, InfluxDB continues to show strong popularity among all databases ranked, maintaining its ranking of number 36.

    “Today’s IoT and DevOps metric workloads are unique and are best served by a time series database for collection and analysis, instead of a traditional database,” said Mark Herring, InfluxData CMO. “Growth in the time series database segment is proof that users are turning to these databases to collect and store data that shows metrics and events for IoT sensors, DevOps monitoring, and real-time analytics. Purpose-built time series databases are more efficient and work well for today’s workloads – other databases require a lot of overhead to get them to handle this data.”

    Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData’s unique features enable customers to quickly build:

    • Monitoring, alerting and notification applications supporting their DevOps initiatives
    • IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
    • Real-time analytics applications that are focused on streaming data and anomaly detection

    InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

    About InfluxData

    InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 420 customers include Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

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    InfluxData, InfluxCloud and InfluxDB are all trademarked by InfluxData. All other trademarks are the property of their respective owners.