Paul Dix

Paul is the creator of InfluxDB. He has helped build software for startups, large companies and organizations like Microsoft, Google, McAfee, Thomson Reuters, and Air Force Space Command. He is the series editor for Addison Wesley’s Data & Analytics book and video series. In 2010 Paul wrote the book Service Oriented Design with Ruby and Rails for Addison Wesley’s. In 2009 he started the NYC Machine Learning Meetup, which now has over 7,000 members. Paul holds a degree in computer science from Columbia University.

Paul Dix

Paul Dix

Paul is the creator of InfluxDB. He has helped build software for startups, large companies and organizations like Microsoft, Google, McAfee, Thomson Reuters, and Air Force Space Command. He is the series editor for Addison Wesley’s Data & Analytics book and video series. In 2010 Paul wrote the book Service Oriented Design with Ruby and Rails for Addison Wesley’s. In 2009 he started the NYC Machine Learning Meetup, which now has over 7,000 members. Paul holds a degree in computer science from Columbia University.

Designing a Parquet Catalog for InfluxDB IOx

One of the things we needed to either adopt or build for InfluxDB IOx is a database catalog. If you haven’t heard us talk about it yet, InfluxDB IOx (pronounced eye-ox) is the new in-memory columnar database that uses object …

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The Future of InfluxDB OSS: More Open, Permissive with Complementary Closed Source

I was recently on the Changelog Podcast talking about Elastic’s recent change away from open source licensing. I’m at 1:02:45 to 1:24:03, but the whole thing is pretty interesting if you have time to listen. I talked about what we’re …

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How InfluxDB IOx Manages the Data Lifecycle of Time Series Data

Last month we announced InfluxDB IOx (pronounced: eye-ox), a new Rust and Apache Arrow based core for InfluxDB. While InfluxDB IOx is a columnar database built on top of object storage, that’s only part of its role. In addition to …

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Announcing InfluxDB IOx – The Future Core of InfluxDB Built with Rust and Arrow

On November 12, 2013, I gave the first public talk about InfluxDB titled: InfluxDB, an open source distributed time series database. In that talk I introduced InfluxDB and outlined what I meant when I talked about time series: specifically, it …

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InfluxDB Clustering – High Availability and Scalability

InfluxDB clustering is available as part of InfluxData’s commercial product offered in both managed and self-managed capacities. Architectural overview An InfluxDB Enterprise installation (the latest at the time of writing is v.1.8.2) allows for a clustered InfluxDB installation which consists …

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Apache Arrow, Parquet, Flight and Their Ecosystem are a Game Changer for OLAP

Apache Arrow, a specification for an in-memory columnar data format, and associated projects: Parquet for compressed on-disk data, Flight for highly efficient RPC, and other projects for in-memory query processing will likely shape the future of OLAP and data warehousing …

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InfluxDB Cloud 2.0 Launches as a Serverless Platform for Time Series Data

Today we’re excited to announce the general release of InfluxDB Cloud 2.0. InfluxDB 2.0 brings together storage, UI and visualization (formerly Chronograf), processing, monitoring and alerting (formerly Kapacitor) into one cohesive whole. It’s the evolution of the TICK Stack into …

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Announcing InfluxDB Cloud 2.0 Beta Free Tier

I’m excited to announce that today we’re launching the open beta of our InfluxDB 2.0 Cloud offering. This cloud release contains everything released in the open source alpha 9 of InfluxDB 2.0, but in a fully managed and hosted product. …

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AWS Intends for Their New Project to be an Elasticsearch Fork

Yesterday Amazon (AWS) unveiled Open Distro for Elasticsearch in a blog post along with its own companion site. In another blog post titled Keeping Open Source Open they make an argument for the motivation behind the project and the desire …

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InfluxDB 2.0 Alpha Release and the Road Ahead

Today we’re releasing the first alpha build of InfluxDB 2.0. Our vision for 2.0 is to collapse the TICK Stack into one cohesive and consistent whole which combines the time series database, the UI and dashboarding tool, and the background …

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