How Streambased is different

Most analytical systems must first ingest data before making it available to downstream applications and users. Streambased is different in that it provides accelerated views of the data from the source system. For instance, when a query is executed with Streambased against Apache Kafka, the data is read from Kafka, not from Streambased.

By taking this approach we can garuntee that any data provided by Streambased is completely consistent with the system in which it was created (Kafka). No more lagging stream processing or ETL, Streambased provides the freshest data available at the point of querying.

Streambased isn't just consistent in the data it provides, it's aslo consistent in the governance applied to it. Streambased reuses metadata and polcies form the source system to ensure that any ACLs or lineage available in Kafka is mirrored in the analytical system. Streambased users no longer have to apply governance once in the operational realm and once more in the analytical realm. Streambased turns disparate systems and flows into a single data estate!