Employing Hadoop’s distributed file system (HDFS) as data storage, Hive inherits all of Hadoop’s fault tolerance, scalability, and adeptness with huge data sets.

If you haven’t heard of Flink until now, get ready for the deluge. As one of a stream of Apache incubator-to-top-level projects turned commercial effort, the data processing engine’s promise is to ...

Even when designing a Minimum Viable Architecture (MVA), developers must consider resource location, especially when mobile apps are part of a distributed system. Distributing the data and ...

Today, Samsung Next, the venture capital arm of Samsung Electronics, announced it is making a strategic investment in Seattle-based Expanso, a startup looking to power distributed data processing ...

With strong share price gains and significant hedge fund interest, Oracle Corporation (NYSE:ORCL) secures a spot on our list ...

AWS recently announced a distributed map for Step Functions, a solution for large-scale parallel data processing. Optimized for S3, the new feature of the AWS orchestration service targets ...

SkySQL, the cloud database based on the well-known MariaDB open source RDBMS, adds distributed database capabilities for write-intensive applications scalability and high availability.

Hazelcast, a provider of an open source in-memory data grid (IMDG) platform, is unveiling Hazelcast Jet, a new platform that gives users a distributed processing engine for big data streams. With ...

TiDB is an open-source, cloud-native, MySQL-compatible distributed database that handles hybrid transactional and analytical processing (HTAP) workloads.