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Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
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Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
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Open-source software for reliable, scalable, distributed computing.
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Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
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A fast, distributed graph database with ACID transactions.
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A Streaming Database for Real-Time Applications.
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Fast column-oriented distributed data store.
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DuckDB is an in-process SQL OLAP database management system.
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Apache Arrow is a cross-language development platform for in-memory data.
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NetworkX is a Python language software package for the creation, manipulation, and study of the...
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StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.
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Open-source graph database.
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Greenplum Database is an open source parallel data warehousing platform.
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Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
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Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.
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JanusGraph is a scalable graph database optimized for storing and querying graphs.
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Featuring horizontal scalability, strong data consistency, high availability, and SQL-like query language, Nebula Graph database enables you to get insight out of your connected data. Get it now. For free.
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Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love.
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Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed com.
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Build Fast and Accurate GenAI Apps with GraphRAG at Scale.