Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability. It is massively scalable to handle graphs of several billion nodes on a single machine. It has a powerful traversal framework for high-speed traversals in the node space. It can be deployed as a full server or a very slim database embedded database. 
Neo4j's high-performance distributed cluster architecture scales with your data needs, minimizing cost and hardware while maximizing performance across connected datasets. Neo4j enforces rigorous enterprise security rules while remaining easy to deploy and manage. Protections like “row-level” security in relational databases are not enough when using graphs. Organizations need fine-grained access control for mission-critical security and privacy.

Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.

Neo4j - Graph Database

OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.



OpenRefine - Powerful tool for working with messy data

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 
 
Access data from multiple systems within a single query. For example, join historic log data stored in an S3 object storage with customer data stored in a MySQL relational database.

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 

Trino - A query engine that runs at ludicrous speed

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. 

Zeppelin - Multi-purpose Notebook

Zingg is a scalable fuzzy matching for data mastering, deduplication and entity resolution. Real world data contains multiple records belonging to the same customer. These records can be in single or multiple systems and they have variations across fields which makes it hard to combine them together, especially with growing data volumes. Zingg integrates different records of an entity like customer, patient, supplier, product etc in same or disparate data sources.

Zingg - Scalable fuzzy matching for data mastering, deduplication and entity resolution

Discover open source projects across all platforms

Projects

Neo4j - Graph Database

OpenRefine - Powerful tool for working with messy data

Trino - A query engine that runs at ludicrous speed

Zeppelin - Multi-purpose Notebook

Zingg - Scalable fuzzy matching for data mastering, deduplication and entity resolution

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Projects

Neo4j - Graph Database

OpenRefine - Powerful tool for working with messy data

Trino - A query engine that runs at ludicrous speed

Zeppelin - Multi-purpose Notebook

Zingg - Scalable fuzzy matching for data mastering, deduplication and entity resolution

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