Showing 6 open source projects for "big data"

View related business solutions
  • Forever Free Full-Stack Observability | Grafana Cloud Icon
    Forever Free Full-Stack Observability | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
    Create free account
  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

    Build generative AI apps with Vertex AI. Switch between models without switching platforms.
    Start Free
  • 1
    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do....
    Downloads: 23 This Week
    Last Update:
    See Project
  • 2
    Apache InLong

    Apache InLong

    Apache InLong - a one-stop integration framework for massive data

    ...InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    ElasticJob

    ElasticJob

    Distributed scheduled job framework

    ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 4
    testng

    testng

    TestNG testing framework

    TestNG is a testing framework inspired from JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc...).
    Downloads: 10 This Week
    Last Update:
    See Project
  • AI-generated apps that pass security review Icon
    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

    Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
    Try Retool free
  • 5
    giServer

    giServer

    giServer the easy to use and extensible batch and integration server

    ...Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    jsimple.org

    jsimple.org

    Rapid Development Framework Based on the Java EE platform and Swing

    In a general way, we can define a jSimple as a piece of software that automatically connects persistent data (Entities) with the user interface (visual objects). We use the word "connect" because it implements all the logic that is needed to display persistent data and to make the user input persistent, creating or modifying data. The main benefit of using a jSimple is that it simplifies database applications development, because it takes care of all the technical aspects involved in moving data from the persistent to the presentation tier and vice versa, saving big amounts of code and lots of headaches.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB