InfluxDB Cloud Serverless
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InfluxDB Cloud features
Single datastore for all time series data
- Collect, analyze, and store metric, event, and tracing data to open new use cases
- Simplify data pipelines and remove unnecessary tooling
Native SQL support
- Easy learning curve with native SQL support for queries
- An intuitive, visual script editor that provides multiple ways to build and write SQL
- Explore and analyze data using SQL and community-driven Apache Arrow Flight SQL-compatible libraries
Low latency queries
- Work with leading-edge data. Keep live and recently queried data in “hot” storage tier, built using Apache Arrow, an in-memory columnar format optimized for speed
Unlimited cardinality
- Ingest high volume and high cardinality data without impacting performance
- Continuously ingest, transform, and analyze hundreds of millions of time series data points per second
Open and interoperable with data ecosystems
- Many other open source ecosystems utilize Apache Parquet, an open data interchange format
- Use of data science tools to operate directly on Parquet files to power machine learning or other higher-order analytical tasks
- Connect to Google Data Studio, and other BI or data warehouses with open source ODBC and JDBC plugins based on Flight SQL
Superior data compression
- High compression storage using Apache Parquet file format
- Persist data to cloud object store, saving more data in less space, while also reducing costs
Customer use cases
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