Ready-to-use real-time and historical data
ArdaDB can ingest millions of rows per second and power real-time analytical applications at petabyte scale. Our historical and near-real-time data, with 2 petabytes in size is already sitting in ArdaDB, ready for you to use.
Support all the data sources you need
ArdaDB supports importing data from other databases such as PostgreSQL, Big Query, RedShift, Snowflake, MongoDB, or from files of common formats such as CSV, TSV, JSON, and Parquet.
SQL and Time Series Support
ArdaDB is equipped with full SQL capability and powerful tools to store and process time-series data efficiently.
Low operational overhead; Efficient compression;
Easy to use and manage
Easy to use and manage
ArdaDB eliminates operational overheads like vacuuming, drastically cutting computing costs and freeing up database engineers' time. Its highly efficient compression notably reduces storage expenses.