Get Your Equalum Demo

Get Your Custom Demo

Equalum provides teams with a fully managed,
end-to-end solution to centralize operational data into a data warehouse to power real-time analytics.

Equalum makes it easy to replicate data from throughout the enterprise to data lakes like Apache Hadoop, Microsoft Azure, AWS, and Google Cloud Platform.

Equalum supports cloud migration by extracting real-time or batch changes in on-premise data and sending directly to the cloud. 

Solutions

Extremely Scalable Change Data Capture and ETL in a Single Data Ingestion Platform

Zero-coding

Business leaders in data-heavy industries are increasingly expected to unify fragmented data from across silos to power decision-making in real-time. But traditional data replication and ETL processes, long the standard for moving data through the enterprise, are straining under a constantly-growing volume and velocity of data. And do-it-yourself implementations of open source frameworks can be complex and costly. Information technology leaders need a new approach.

Equalum’s Data ingestion platform captures the power of cutting-edge Big Data frameworks in a precision-engineered environment offering an intuitive, end-to-end solution for enterprises. 

Get your demo to see Equalum in action. 

Data Warehouses

Data Lakes

Cloud Migration

About Equalum

COMPANIES THAT RELY ON EQUALUM

15x performance improvement
in batch ETL processes

Reduces development time by 60%

Plug-and-play integration

Lower total cost of ownership

© Copyright 2019

Equalum is the leading Data Beaming platform, relied upon by enterprises across industries to seamlessly teleport operational data to real-time analytics environments. Built for scalability and ease of use, Equalum ingests data in real-time, as it is created, from any number of data sources. It processes and transforms the data before streaming it to any number of target applications or systems. Data Beaming technology harnesses the power of Spark in an end-to-end, enterprise-grade solution – helping organizations rapidly accelerate past traditional ETL or open-source implementations with a zero-coding approach, intuitive design, and minimal maintenance.