Introducing InfluxDB’s New Time Series Database Engine
Session date: Feb 07, 2023 08:00am (Pacific Time)
InfluxData is excited to announce the general availability of InfluxDB Cloud’s new database engine! It is a cloud-native, real-time, columnar database optimized for time series data. InfluxDB’s rebuilt core was coded in Rust and sits on top of Apache Arrow and DataFusion. InfluxData’s team picked Apache Parquet as the persistent format. In this webinar, Paul Dix and Balaji Palani will demonstrate key product features including the removal of cardinality limits!
They will dive into:
- The next phase of the InfluxDB platform
- How using Apache Arrow’s ecosystem has improved InfluxDB’s performance and scalability
- Key features of InfluxDB Cloud’s new core — including SQL native support
Paul Dix
Founder and Chief Technology Officer, InfluxData
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.
Balaji Palani
VP, Product Marketing, InfluxData
Balaji Palani is InfluxData’s Vice President of Product Marketing, overseeing the company’s product messaging and technical marketing. Balaji has an extensive background in monitoring, observability and developer technologies and bringing them to market. He previously served as InfluxData’s Senior Director of Product Management, and before that, held Product Management and Engineering positions at BMC, HP, and Mercury.