Stream data changes from operational databases and other sources in real time to centralized data warehouses and data lakes using Equalum’s best-in-class change data capture.
Change data capture is the lowest-impact way of asynchronously capturing database changes. But legacy CDC solutions come with a number of limitations. They are built primarily for data replication and typically offer minimal data transformation capabilities, provide limited support for newer database technologies, and are priced for isolated replication scenarios rather than enterprise-wide use.
Equalum’s library of high-performing, out-of-the-box CDC leverages all relevant APIs to capture changes from any database or non-database source, transform and enrich the data in motion, and stream changes to a data warehouse or data lake.
Speed and Scalability
Combines unique scalability capabilities with the power of Spark and Kafka to provide extremely fast data ingestion between any number of sources and targets.
Provides transformation capabilities that go well beyond replication, including source data modification, data computations, and correlation with other data sources.
Seamless integration with newer database technology and non-database sources; zero-coding approach and no footprint on database sources.
An enterprise license model that enables businesses to scale their CDC investment cost-effectively.
A Fortune 500 oil and petroleum exploration company uses Equalum’s CDC technology to stream up to a million events per second – with latency of less than a second.
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