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Apache TinkerPop VS Blazegraph

Compare Apache TinkerPop VS Blazegraph and see what are their differences

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Apache TinkerPop logo Apache TinkerPop

Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).

Blazegraph logo Blazegraph

Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs.
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24
  • Blazegraph Landing page
    Landing page //
    2021-07-22

Apache TinkerPop features and specs

  • Graph Abstraction
    Apache TinkerPop provides a generalized graph computing framework, allowing developers to work with a property graph model that supports both OLTP and OLAP use cases.
  • Gremlin Query Language
    Gremlin is a powerful and flexible graph traversal language that supports both imperative and declarative query styles, making it versatile for complex graph queries.
  • Vendor Neutrality
    TinkerPop is vendor-agnostic and supports multiple graph database systems such as Neo4j, JanusGraph, and Amazon Neptune, providing flexibility in choosing underlying storage.
  • Rich Ecosystem
    TinkerPop has a strong ecosystem with numerous integrations, plugins, and extensions, which helps in building applications more efficiently.
  • Community and Support
    Being part of the Apache Software Foundation, TinkerPop benefits from a strong community, extensive documentation, and regular updates.

Possible disadvantages of Apache TinkerPop

  • Complexity
    The flexibility and power of TinkerPop come with a steep learning curve, especially for those new to graph databases or the Gremlin language.
  • Performance Overhead
    Due to its abstraction layer, there might be performance overhead compared to using a graph database's native query language directly.
  • Limited Graph Algorithms
    Compared to specialized graph processing frameworks like Apache Giraph or GraphX, TinkerPop might have limitations in built-in graph algorithms.
  • Integration Overhead
    Integrating TinkerPop with existing systems may require additional overhead in terms of setup and configuration, especially if leveraging its multi-database support.

Blazegraph features and specs

  • Scalability
    Blazegraph offers linear horizontal scaling through its multi-machine architecture, allowing users to handle large datasets effectively.
  • SPARQL Support
    It provides full support for SPARQL 1.1, which is widely used for querying and updating RDF datasets.
  • Performance
    Designed for high performance, Blazegraph can handle complex queries quickly, making it suitable for applications requiring rapid data retrieval.
  • Embedded and Standalone Modes
    Blazegraph can be deployed either as an embedded database or as a standalone server, providing flexibility depending on user needs.
  • Open Source
    Being open-source, Blazegraph allows users to modify and adapt the codebase according to their specific requirements.

Possible disadvantages of Blazegraph

  • Limited Community Support
    As of recent times, the community support around Blazegraph appears to be limited compared to more widely-used technologies, potentially impacting troubleshooting and knowledge sharing.
  • Development Stagnation
    The development activity has slowed down, leading to concerns about the long-term viability and support for the platform.
  • Complexity for Beginners
    The complexities involved in setting up and optimizing Blazegraph can present a steep learning curve for users unfamiliar with RDF stores and graph databases.
  • Documentation
    Some users have noted that the documentation can be lacking in depth and clarity, which might make it difficult to fully utilize all features without significant additional research.

Category Popularity

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

Apache TinkerPop

Blazegraph

NoSQL Databases
59 59%
NoSQL Databases
41% 41
Graph Databases
55 55%
Graph Databases
45% 45
Databases
54 54%
Databases
46% 46
Big Data
50 50%
Big Data
50% 50

User comments

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Social recommendations and mentions

Based on our record, Apache TinkerPop should be more popular than Blazegraph. It has been mentiond 5 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.

Apache TinkerPop mentions (5)

  • All About Graph RAG
    Part of the Apache TinkerPop framework, an imperative graph traversal language for the property graph model. - Source: dev.to / 22 days ago
  • 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 1 year ago
  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / about 1 year 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 3 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 4 years ago

Blazegraph mentions (2)

  • Getting Started with Redis and RedisGraph
    Triple, mainly represented by RDF with SPARQL as its query language. In TripleStore, data is represented as Subject-Predicate-Object. The database for this kind of data is usually called TripleStore. An example of TripleStore is BlazeGraph. - Source: dev.to / over 3 years ago
  • Why Young Developers Don’t Get Knowledge Graphs
    I think the best open-source graphdb, also used for Amazon Neptune, is blazegraph [1] For true data interoperability, as opposed to the silo data models required for property graph databases, the RDF w3c standard with SPARQL [2] is the industry standard. The new global API made possible with the Solid project [3] by Tim Berners-lee uses RDF [1] https://blazegraph.com/. - Source: Hacker News / almost 4 years ago

What are some alternatives?

When comparing Apache TinkerPop and Blazegraph, 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.

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

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Amazon Neptune - Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.

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