Audience
Developers seeking a solution to manage their graph databases and graph analytic systems
About Apache TinkerPop
Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).
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ArcadeDB is an open-source, next-generation multi-model database. Forget Polyglot Persistence — store graphs, documents, key-value pairs, search engine indexes, vectors, and time-series data all in one database with native support for every model. No translation layers, no performance penalties.
Process over 10 million records per second. Traversal speed stays constant whether your database has hundreds or billions of records. Query in the language you prefer: SQL, Cypher, Gremlin, GraphQL, MongoDB API, or Java.
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G.V() Gremlin IDE
G.V() is an all-in-one Gremlin IDE to write, debug, test and analyze results for your Gremlin graph database.
It offers rich a UI with smart autocomplete, graph visualization, editing and connection management.
G.V() automatically detects your connection setting requirements based on the hostname you provide and prompts you for the next required information for an easy onboarding experience, regardless of which Gremlin database you're using.
Load, visualize and draw your graph in true “What You See Is What You Get” fashion to build, test, visualize and query your data easily.
Learn Gremlin with the embedded documentation and G.V()'s in-memory graph.
View your Gremlin query results in various formats allowing to test, navigate and understand your query results rapidly.
Compatible with all major Apache TinkerPop enabled Graph Database Providers: Amazon Neptune, Azure Cosmos DB’s Gremlin API, DataStax Enterprise Graph, JanusGraph, ArcadeDB, Aliyun TairForGraph and Gremlin Server.
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HugeGraph
HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
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Amazon Neptune
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.
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Pricing
Starting Price:
Free
Free Version:
Free Version available.
Company Information
Apache Software Foundation
United States
tinkerpop.apache.org
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Product Details
Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online
Apache TinkerPop Frequently Asked Questions
Q: What kinds of users and organization types does Apache TinkerPop work with?
Apache TinkerPop works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Apache TinkerPop support in their product?
Apache TinkerPop supports these languages: English.
Q: What kind of support options does Apache TinkerPop offer?
Apache TinkerPop offers support via online.
Q: What other applications or services does Apache TinkerPop integrate with?
Apache TinkerPop integrates with: Apache Groovy, Docker, G.V() Gremlin IDE, Java, Node.js, and Python.
Q: Does Apache TinkerPop have an API?
Yes, Apache TinkerPop has an API.
Q: What type of training does Apache TinkerPop provide?
Apache TinkerPop provides training in the form of documentation.
Q: How much does Apache TinkerPop cost?
Pricing for Apache TinkerPop starts at Free.
