Showing 4 open source projects for "big data visualization"

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    GreptimeDB

    GreptimeDB

    An open-source, cloud-native, unified time series database for metrics

    GreptimeDB treats all time series as contextual events with timestamps, and thus unifies the processing of metrics, logs, and events. It supports analyzing metrics, logs, and events with SQL, PromQL, and streaming with continuous aggregation. GreptimeDB is a time-series database optimized for storing and querying large amounts of time-series data, commonly used in monitoring and IoT applications.
    Downloads: 1 This Week
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  • 2
    Stoolap

    Stoolap

    A Modern Embedded SQL Database written in Rust

    Stoolap is a lightweight, self-hosted analysis and visualization tool designed to help developers and operations teams explore log data, metrics, and debugging information from distributed systems or local applications. Instead of relying on heavy commercial observability platforms, stoolap provides a fast, focused interface where users can filter, query, and visualize time-series data, logs, traces, and error metrics in a cohesive environment.
    Downloads: 1 This Week
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  • 3
    tabularis

    tabularis

    An open-source desktop client for modern databases.

    ...Built-in MCP server for AI agent integration. Visual Query Builder with drag-and-drop JOINs. Plugin system to add any database driver. Monaco-based editor with smart autocomplete. High-performance data grid with inline editing. ER Diagram visualization. SSH tunneling. Secure credential storage via OS keychain. Split view, saved queries, SQL dump/import, 10+ themes, customizable shortcuts. Hackable, extensible, and built for everyday SQL work. https://tabularis.dev https://github.com/debba/tabularis
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    Downloads: 12 This Week
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  • 4
    TensorBase

    TensorBase

    TensorBase is a new big data warehousing with modern efforts

    ...TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask or contribute to TensorBase. The committers are still around the community. We will help you in all kinds of interesting things pursued in the project by us and maybe you. ...
    Downloads: 0 This Week
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