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.

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 ...

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 ...

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.