4 projects for "database front end" with 2 filters applied:

  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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  • 1
    SDB driver for BIND9 that allows you to use a MySQL backend for the zone files. Zone changes in the db become immediately available in DNS without restarting BIND. The database format will work with the dnSQLpanel project to give you a web front end.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Objective: To add capabilities to Bind 9 that will allow Bind backend databases to support adding and removing zones without interrupting normal server operation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    ZoneMaster is a name server and zone file management system. It generates the configuration for BIND and maintains all information persistent in a relational database.
    Downloads: 0 This Week
    Last Update:
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  • 4
    A web site, and related applications to centralize your IP. The web site is powered by a database that holds users ip addesses. A user can log on to the site and get his/her ip, and links to servers on his/her computer.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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