HStream Platform Serverless is a one-stop streaming data platform service on the public cloud, enabling developers to handle streaming data with ease and efficiency.
HStream Platform Serverless is a one-stop streaming data platform service on the public cloud, enabling developers to handle streaming data with ease and efficiency.
HStreamDB is a streaming database designed for streaming data, managing from accessing, storing, processing to distributing large-scale real-time data streams.
The streaming database uses streams as the basic object and real-time as their main feature, and is a re-architecture and redesign of databases in the streaming era.
New stream processing engine, update Java and Go clients, and add Python client.
Over the past two months, we have released versions 0.13 and 0.14 of HStreamDB, which include several bug fixes.
We released HStreamDB 0.11 in November with a few issue fixes. The development of the HStream Platform continues, and we're planning to release an Alpha version at the end of December.
This month, we added support for choosing Rqlite as the storage component for the metadata of HServer and restructured HServer based on the new self-developed Haskell gRPC framework.
This month the last image has already introduced features such as end-to-end compression, CLI support for TLS, and fixes to several known issues.
This month, the HStreamDB team has been finishing up the development and release of v0.9.
In June, the HStreamDB team focused on developing the upcoming v0.9, including switching HServer to a decentralized cluster model, an HStream IO Embedded Runtime and CDC Source Connector.
This May, the HStreamDB team has officially released v0.8 and started the development of v0.9, which will bring significant improvements in clustering, external system integration, partitioning, and more.
This April, the HStreamDB team completed multiple features, optimizations and fixes of problems for the HStream Server.
In v0.8, we offer better read/write performance, improved long-running stability and reliability, new security support based on mTLS, new metrics, an admin server, benchmark tools, and Terraform deployment support.