Showing 6 open source projects for "cassandra"

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    MongoDB Atlas runs apps anywhere

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

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    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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  • 1
    gocql

    gocql

    Package gocql implements a fast and robust Cassandra client for Go

    ...The next page is automatically pre-fetched in the background once the iterator has passed a certain threshold. Trace queries to obtain a detailed output of all events that happened during the query execution from Cassandra. The output might help to identify bugs and performance bottlenecks in your application.
    Downloads: 7 This Week
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  • 2
    PHP-Casbin

    PHP-Casbin

    An authorization library that supports access control models

    ...Besides memory and file, Casbin policy can be stored into lots of places. Currently, dozens of databases are supported, from MySQL, Postgres, Oracle to MongoDB, Redis, Cassandra, AWS S3. Check the full supported list at: adapters. Casbin is implemented in Golang, Java, PHP and Node.js. All implementations share the same API and behaviors. You can learn Casbin once and use it everywhere.
    Downloads: 8 This Week
    Last Update:
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  • 3
    Spring Data REST

    Spring Data REST

    Simplifies building hypermedia-driven REST web services

    Spring Data REST is part of the umbrella Spring Data project and makes it easy to build hypermedia-driven REST web services on top of Spring Data repositories. Spring Data REST builds on top of Spring Data repositories, analyzes your application’s domain model and exposes hypermedia-driven HTTP resources for aggregates contained in the model. Exposes a discoverable REST API for your domain model using HAL as media type. Exposes collection, item and association resources representing your...
    Downloads: 4 This Week
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  • 4
    Apache Spark

    Apache Spark

    A unified analytics engine for large-scale data processing

    ...The built-in MLlib library provides scalable machine learning algorithms, while GraphX enables graph computations integrated with data pipelines. Spark supports multiple languages—Scala, Java, Python, R—and connects with many storage systems like HDFS, S3, Cassandra, and streaming platforms like Kafka, making it a versatile choice for big data workloads in analytics, ETL, and data science.
    Downloads: 9 This Week
    Last Update:
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  • 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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  • 5
    SiteWhere

    SiteWhere

    An industrial strength open-source application platform for the IoT

    SiteWhere is an industrial-strength, open-source IoT Application Enablement Platform that facilitates the ingestion, storage, processing, and integration of IoT device data at a massive scale. The platform leverages a microservices architecture that runs on top of cutting-edge technologies such as Kubernetes, Istio, and Kafka in order to scale efficiently to the loads expected in large IoT projects. SiteWhere embraces a distributed architecture that runs on Kubernetes and provides both...
    Downloads: 0 This Week
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  • 6

    interbreed

    HA Java Server - distributed Execution, noSQL, MapAndReduce and Grid

    The intension of the interbreed project is combine some of the promising new technologies (like Grid, noSQL Database Cassandra, OSGI and MapAndReduce) into one server architecture and ease the development of modern high scalability, high performance applications. The Api based upon easy to use annotationed pojo's to encapsulate the complexity of this modern technologies. The goal is the make programming noSQL, MapAndReduce and DistributedExecution in a high scalar environment as easy as writing total standard JPA,EJB 3.0 applications.
    Downloads: 0 This Week
    Last Update:
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