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 tool.
As data volumes explode, fueled largely by the growth of business and machine data, and business users increasingly demand continuous access to insights, the extraction of all underlying data in real-time is no longer practical. Instead, solutions must be deployed to identify and monitor changes to critical data elements, and to stream those changes to a real-time analytics environment.
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"Modernizing your Legacy Change Data Capture Infrastructure"
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 tools leverage 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 natural gas exploration company struggled with previous data ingestion processes with 10 minutes latency at best, creating big operational and business risks. Developing additional data ingestion processes was very time consuming with hundreds being added every quarter.
Equalum was brought in to stream drilling rigs data, approximately 20,000 events/second with latency of 1 second from Oracle and other sources to a data analytics environment – powering real-time analytics for drill site optimization.
Software Engineer Specialist, Oil & Gas Company
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EXECUTIVE SUMMARYOlder data ingestion technology originally built for on-premises batch processing cannot...