![]() The company also teased two new products coming later this year: InfluxDB 3.0 Clustered, an evolution of InfluxDB Enterprise, and InfluxDB 3.0 Edge, a single node instance for local and edge deployments. Version 3.0 is available now in InfluxDB Cloud Serverless and InfluxDB Cloud Dedicated, a newly announced single tenant version of InfluxDB. InfluxDB 3.0 is now the foundation for all InfluxDB products and supports a full range of time series data (metrics, events, and traces) to power use cases around high-cardinality time series data like observability, real-time analytics, and IoT sensor data. Users can continuously ingest, transform, and analyze “hundreds of millions” of time series data points with no limitations, the company says. InfluxData claims that compared to previous versions, InfluxDB 3.0 delivers 100x faster queries across high cardinality data for real-time query response, 10x ingest performance, and 10x greater data compression. He also mentions the company has enhanced DataFusion’s SQL dialect to include key time series functions, along with bringing InfluxQL, InfluxData’s time series query language, forward into DataFusion. ![]() In another blog post, InfluxData VP of Product Rick Spencer calls the Apache Arrow Project’s specification for columnar data the “gold standard for high performance computing for analytics use cases.” He goes on to say that Parquet’s compression achieves orders of magnitude gains in disk space efficiency. InfluxDB 3.0 was developed as the open source project InfluxDB IOx, announced last year.
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