Showing 4 open source projects for "performance"

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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  • 1
    Dagster

    Dagster

    An orchestration platform for the development, production

    ...Rein in the chaos and maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Jitsu

    Jitsu

    Jitsu is an open-source Segment alternative

    Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in...
    Downloads: 0 This Week
    Last Update:
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  • 3

    incubator-seatunnel

    SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time).

    Downloads: 0 This Week
    Last Update:
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  • 4
    Open Source Data Quality and Profiling

    Open Source Data Quality and Profiling

    World's first open source data quality & data preparation project

    ...Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. ...
    Downloads: 3 This Week
    Last Update:
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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

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