HiveOpen
SQL data warehouse on Hadoop for large-scale batch analytics
Apache Hive is an open-source SQL data warehouse built on Hadoop that queries large distributed datasets through HiveQL and standard JDBC and ODBC clients.
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SQL data warehouse on Hadoop for large-scale batch analytics
Apache Hive is an open-source SQL data warehouse built on Hadoop that queries large distributed datasets through HiveQL and standard JDBC and ODBC clients.
Run container jobs where your data already lives
Bacalhau schedules container and WebAssembly jobs onto the machines that already hold the input data, so large datasets are processed in place instead of being copied to a central cluster first. A single self-contained binary acts as client, orchestrator, and compute node, with storage integrations for S3, HTTP, IPFS, and local volumes.
Run batch tasks on shared provider machines, or earn by sharing yours
Golem is a peer-to-peer network where requestors run batch tasks on machines shared by providers, paying per use in the GLM token. Tasks execute inside provider-hosted environments such as VM images, as a single task or as many parallel tasks spread across providers.