Equalum’s enterprise-grade real-time data ingestion architecture provides an end-to-end solution for collecting, transforming, manipulating, and synchronizing data – helping organizations rapidly accelerate past traditional change data capture (CDC) and ETL tools. Equalum moves data (in real-time or batch) combining its unique data ingestion capabilities with the power of leading open source projects.
Utilizing an intuitive user-friendly interface, Equalum users can build and deploy new data pipelines in minutes instead of days or months. A fully no-coding approach complete with a drag-and-drop UI enables a wide range of technical and business users to configure, maintain, and derive insights from Equalum’s platform.
In addition to its native data ingestion modules, the Equalum platform leverages the power of Apache Spark and Kafka, among other cutting-edge open source technologies valued for their scalability and innovation. All components run in a fully-managed and orchestrated DataOps environment that requires no installation, configuration, or coding of individual software components.
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Equalum supports the entire data ingestion development cycle from basic pipeline creation to massive operationalization. The platform provides comprehensive monitoring and execution metrics for all data pipelines in the system. Equalum guarantees delivery of data from end to end with best-in-class security, reliability and availability.
Equalum harnesses the scalability of open source data frameworks such as Spark and Kafka to dramatically improve the performance of streaming and batch data processes – enabling organizations to increase data volumes while improving performance and minimizing system impact.
Equalum allows for all data pipeline logic to be created using a drag & drop GUI, easily integrating new data sources. This radically improves the productivity of ETL, data engineering, data operations, and analytics teams. With Equalum streaming and batch data pipelines are built and deployed in minutes instead of days or weeks.
Equalum provides full support for batch as well as continuous/real-time data ingestion. Using advanced change data capture features, Equalum streams data as it’s born, making it available immediately for analytics or other operational systems. Equalum also detects, acts and alerts on data schema modifications.
Equalum provides data transformation and manipulation capabilities that go well beyond replication, including source data modification, data computations, and correlation with other data sources. Equalum provides a large number of operators for data transformations, lookups, filtering, aggregations, joins, and enrichments.
Equalum connects and collects data using one of the most efficient change data capture libraries in the market and supporting a large number of sources and targets, some unique to Equalum. The reliability and richness of the Equalum CDC solution means significant performance advantage in a multi-pipeline environment – along with massive overhead reduction on the source systems.
Equalum’s foundation utilizes open source components for specialized and functions. Equalum hides all open source complexities from users by providing an innovative platform that is fully managed, optimized and upgraded by Equalum.
With Equalum there are no platform limitations. It has been designed and proven on on-premises, cloud, and hybrid environments. This makes it an ideal platform for customers considering a phased migration to the cloud.
Assisted by machine learning technology, Equalum offers a fully integrated, customizable framework for users to do advanced data exploration as part of the ETL design process.
"Before, once a day, we would go and grab data. Now, a vast majority of the time, we are actively scanning for new data to come in. As much as possible, we try not to wait for a person to tell us the data is there. We actually actively go out and get it whenever we can. That is a big change for us."
- Reviewer 1530513 | Senior Software Engineer at a retailer with 201-500 employees
Review collected by IT Central Station
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