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GrapheneDB VS Apache TinkerPop

Compare GrapheneDB VS Apache TinkerPop and see what are their differences

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GrapheneDB logo GrapheneDB

Graph databases as-a-service

Apache TinkerPop logo Apache TinkerPop

Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).
  • GrapheneDB Landing page
    Landing page //
    2023-07-23
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24

Category Popularity

0-100% (relative to GrapheneDB and Apache TinkerPop)

GrapheneDB

Apache TinkerPop

Graph Databases
43 43%
Graph Databases
57% 57
NoSQL Databases
39 39%
NoSQL Databases
61% 61
Databases
43 43%
Databases
57% 57
Big Data
50 50%
Big Data
50% 50

User comments

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Social recommendations and mentions

Based on our record, Apache TinkerPop seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GrapheneDB mentions (0)

We have not tracked any mentions of GrapheneDB yet. Tracking of GrapheneDB recommendations started around Mar 2021.

Apache TinkerPop mentions (3)

  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / 2 months ago
  • Getting Started with Redis and RedisGraph
    Property Graph, mainly represented as node and relationship in which they can have properties. The database for this kind of data is usually called Graph Database. Gremlin - by TinkerPop project and Cypher - by Neo4J are their query language (also AQL - Arango Query Language - by ArangoDB, but AQL does not only provides graph query language). - Source: dev.to / over 2 years ago
  • Should You Invent a New Query Language? (Probably Not)
    The most common graph query language at the moment would be Gremlin, which is part of the Apache TinkePop graph computing framework. It is simple to write, easy to learn, and widely supported by many graph databases and even non-graph databases that can emulate graph queries. On the other hand, it can be verbose for long queries but generally works well for both OLTP and analysis work. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing GrapheneDB and Apache TinkerPop, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

Grapholytic - grapholytic by MIOsoft produces results from the combination of a Graph DB and a scalable object database architecture.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Blazegraph - Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs.

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