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hstreamdb avatar

hstreamdb/hstream

0
View on GitHub↗
722 stars·54 forks·Haskell·BSD-3-Clause·14 viewshstream.io↗

Hstream

HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.

Features

  • Data Storage & Processing - Streaming database for IoT data storage.
  • Stream Processing - Streaming database built specifically for IoT data and real-time processing.
  • Streaming Processing - A streaming database designed for IoT and real-time processing.
  • Application Frameworks - Streaming database optimized for real-time IoT data processing.
  • Streaming Engines - Streaming database for IoT storage and real-time processing.

Star history

Star history chart for hstreamdb/hstreamStar history chart for hstreamdb/hstream

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Hstream

These projects share indexed features with Hstream. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apache/samzaapache avatar

    apache/samza

    842View on GitHub↗

    Mirror of Apache Samza

    Java
    View on GitHub↗842
  • apache/sparkapache avatar

    apache/spark

    43,467View on GitHub↗

    Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

    Scalabig-datajavajdbc
    View on GitHub↗43,467
  • apache/flinkapache avatar

    apache/flink

    26,086View on GitHub↗

    Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve

    Java
    View on GitHub↗26,086
  • bytewax/bytewaxbytewax avatar

    bytewax/bytewax

    2,022View on GitHub↗

    Python Stream Processing

    Python
    View on GitHub↗2,022
Compare all 30 related projects→

Frequently asked questions

What does hstreamdb/hstream do?

HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.

What are the main features of hstreamdb/hstream?

The main features of hstreamdb/hstream are: Data Storage & Processing, Stream Processing, Streaming Processing, Application Frameworks, Streaming Engines.

Which projects share features with hstreamdb/hstream?

Projects with overlapping indexed features include: apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation… cocoindex-io/cocoindex — Cocoindex is an incremental data processing engine that builds and maintains live indexes for AI agents, with a core… apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… apache/samza — Mirror of Apache Samza. bytewax/bytewax — Python Stream Processing. emqx/kuiper — Lightweight data stream processing engine for IoT edge.