Software Alternatives, Accelerators & Startups

TigerGraph DB VS Apache TinkerPop

Compare TigerGraph DB VS Apache TinkerPop and see what are their differences

TigerGraph DB logo TigerGraph DB

Application and Data, Data Stores, and Graph Database 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).
  • TigerGraph DB Landing page
    Landing page //
    2023-08-29
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24

Category Popularity

0-100% (relative to TigerGraph DB and Apache TinkerPop)
Graph Databases
45 45%
55% 55
NoSQL Databases
20 20%
80% 80
Databases
45 45%
55% 55
Music
100 100%
0% 0

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 4 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.

TigerGraph DB mentions (0)

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

Apache TinkerPop mentions (4)

  • Setup Azure Cosmos DB for Gremlin in Spring Boot Java
    The API for Gremlin is built based on Apache TinkerPop, a graph computing framework that uses the Gremlin query language. - Source: dev.to / about 2 months ago
  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / 4 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 TigerGraph DB 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.

FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.

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

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

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

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.