Audience
Apache TinkerPop Powered Graph Database Users, both from enterprise or as hobbyists
About 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.
Other Popular Alternatives & Related Software
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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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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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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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KgBase
KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights about their data. Import your CSVs and spreadsheets, or use our API to work on data together. Build no-code knowledge graphs with KgBase, our easy-to-use UI lets you traverse the graph, show the results as tables and charts, and much more. Play with your graph data. Build your query and see results update in real time. It's like writing query code in Cypher or Gremlin, except easier. And fast. Your graph can be viewed as a table, allowing you to browse all results - no matter the size. KgBase works great with large graphs (millions of nodes), as well as simple projects. In the cloud, or self-hosted, with wide database support. Introduce graphs into your organization by seeding graph from a template. Results of any query can be easily turned into a chart visualization.
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Pricing
Pricing Details:
Pricing is available as a subscription both monthly or yearly and is per user/per term.
More details are available on the gdotv website.
More details are available on the gdotv website.
Free Version:
Free Version available.
Free Trial:
Free Trial available.
Integrations
Company Information
gdotv Ltd
Founded: 2020
gdotv.com
Videos and Screen Captures
Smart Auto Complete Example with Embedded Documentation using G.V() - Gremlin IDE
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Product Details
Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Phone Support
G.V() Gremlin IDE Frequently Asked Questions
G.V() Gremlin IDE Product Features
IDE
Code Completion
Supported
Cross Platform Support
Supported
Debugger
Supported
Text Editor / Code Editor
Supported
Compiler
Not Supported
Drag and Drop UI
Not Supported
Integrations and Plugins
Not Supported
Multi Language Support
Not Supported
Project Management
Not Supported
