Apache Spark's powerful open-source platform enables high-speed data processing for large and complex datasets. The joint benchmarking used the k-core decomposition algorithm of Spark's GraphX ...

Spark comes with a diverse set of libraries “out of the box,” making previously inaccessible processing models easy-to-use and providing a full suite of complementary tools, including a fully featured ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

A little-known startup called Hazelcast Inc. is hoping to steal some of the limelight from popular open-source projects Apache Spark and Apache Flink, launching what it claims is a faster and ...

Hadoop needs fast and easy-to-use stream processing, and Flink provides that -- but it'll compete with Spark and Storm Apache Flink, a potential contender for Apache Spark’s big-data processing jobs, ...

Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline ...

Impetus Technologies, has announced StreamAnalytix 3.0, which adds support for Apache Spark-based batch processing and enriched online and offline machine learning features. The new capabilities are ...

In a simple batch processing test, Google Cloud Dataflow beat Apache Spark by a factor of two or more, depending on cluster size On Tuesday, my company, Mammoth Data, released benchmarks on Google ...