Frequently Asked Questions



Apache Spark is a fast and general-purpose cluster computing system. It offers an open source, wide range data processing engine with revealing development API’s. Scalable & fault tolerant, it’s become the defacto analytics platform in the market, with performance and capabilities that far surpass that of traditional platforms (SAS, IBM etc.). Apache Spark is 100% open source, hosted at the vendor-independent Apache Software Foundation.

Who is using APACHE SPARK?

Many companies, including NASA, Capital One, GE, BMW, Bloomberg, Amazon etc, use Spark for its built-in libraries for data access, streaming, data integration, graph processing and advanced analytics and machine learning. This immensely performant data science platform is being widely adopted globally with significant advantages being promoted by all in open source chat rooms.

Benefits of APACHE SPARK

Performance may have netted Spark an initial following among the big data and analytics crowd, but the ecosystem and interoperability is what continues to drive broader adoption of Spark today. Apache Spark can run programs 100’s of times faster than other legacy data processing systems like SAS, MapReduce, or R, and can scale to any size of data.

Why should you care?

It results in freeing up the performance of both your human and technology resources – saving you time & money. Basically, it will free you up to do more with your data – improving your analytics performance while bringing relief to your budget.

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