Unlock the Power of Spark and Kafka

The power of open source big data frameworks – without the hassle

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Use Case

With Equalum, Spark and Kafka are part of the engine.



Harness the scalability of Apache Spark, Kafka and other key open source data projects in a fully-managed environment – no installation, configuration, or maintenance required. Equalum provides an out-of-the-box Spark cluster that is completely customized to your business needs. From automatically optimizing the number of nodes, to tuning system settings for optimal performance, Equalum offers a zero-coding UI allows users to seamlessly set up new jobs, specify data sources, indicate desired transformations, and distribute the output to any supported targets. With the push of a button, users can toggle between batch and streaming mode, providing businesses with a true path to support streaming analytics.



Equalum's end-to-end platform also ensures your environment operates at peak performance with cluster monitoring, tracking throughput and load balance, job time and data integrity. A system of real-time alerts and notifications enables Equalum to escalate issues when critical intervention is required.

How Equalum Helps

Open-source big data frameworks offer infinite scalability. But they’re unwieldy to implement in-house, requiring Scala expertise –and even with the right engineering talent in place, open-source implementation challenges may range from performance tuning to cluster size auto-scaling to redundancy and recovery.

Equalum leverages Spark and Kafka, with no installation, configuration, or coding required, in a fully-managed, end-to-end solution. Our platform can be used to stream data from any source (databases, legacy applications, log files) to centralized data stores like EDWs or data lakes – the instant it is created.

The Equalum Difference

Zero-Coding

No Scala required; best-in-class security, monitoring, fault tolerance, and availability without a single line of code.

Seamless

Plug-and-play integration; breakthrough use of CDC creates minimal system strain on underlying data sources.

Scalable

Built with Spark and Kafka; supports streaming between any number of sources and targets in real-time.

Open Source Scalability – Without the Hassle

A Fortune 100 manufacturing company struggled with gaps between operational reports and their analytical environment. Due to their legacy batch processes, data was being duplicated, inaccurate data pushed to target locations and reporting compromised.

By leveraging Equalum's best in class Change Data Capture capabilities, along with harnessing the open-source technology in the platform engine, the company quickly saw a 15x improvement in system performance without having to write a single line of Scala code.


"The best reason to use Equalum is for change data capture and data streaming. We have been able to create features in some of our analytical environments, which probably would have not been possible without Equalum. The ability for Equalum to stream data in real time is very powerful."

- Director of Enterprise Architecture | Manufacturing Company

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