CelerData Brings New Level of High-Performance Analytics to the Data Lakehouse
“The data lakehouse has added critical capabilities to the data lake architecture by introducing ACID control, table formats and data governance,” said James Li, CEO, CelerData.
- “The data lakehouse has added critical capabilities to the data lake architecture by introducing ACID control, table formats and data governance,” said James Li, CEO, CelerData.
- With CelerData’s support for a lakehouse architecture through the integration with common table formats such as Iceberg and Hudi, a data lakehouse can now have the option to conduct high-performance analytics without ingesting data into a central data warehouse.”
Data lakehouse users can perform analytics by querying across streaming data and historical data in real-time, without having to wait and combine streaming data into batches for analysis. - With CelerData 3, streaming data analytics and data lake analytics are unified into one platform, eliminating the roadblocks for real-time insights on a data lakehouse.
- Users can now ingest raw data and transform data within CelerData, significantly simplifying the data processing pipeline.