Showing 4 open source projects for "parallel"

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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    Greenplum Database

    Greenplum Database

    Massive parallel data platform for analytics, machine learning and AI

    Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor...
    Downloads: 58 This Week
    Last Update:
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  • 2
    DataChain

    DataChain

    AI-data warehouse to enrich, transform and analyze unstructured data

    Datachain enables multimodal API calls and local AI inferences to run in parallel over many samples as chained operations. The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. ...
    Downloads: 7 This Week
    Last Update:
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  • 3
    Sql Parallel Executer is an open source software making the user perform Data Warehousing tasks with almost any database thanks to the use of ODBC drivers. Built keeping in mind the highest flexibility for the final user it offers several features: Scheduling Script execution, Parameter Substitution, Parallel Execution and Script Dependency.
    Downloads: 0 This Week
    Last Update:
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  • 4
    HydraCube is a highly scalable multi dimensional aggregation (OLAP) engine which supports MDX queries for data retrieval. It is a parallel software and can be run on network of wrokstations or multi processor shared memory systems.
    Downloads: 0 This Week
    Last Update:
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  • Run applications fast and securely in a fully managed environment Icon
    Run applications fast and securely in a fully managed environment

    Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.

    Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
    Try for free
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