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GraphSQL VS Blazegraph

Compare GraphSQL VS Blazegraph and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

GraphSQL logo GraphSQL

GraphSQL offers real-time database management systems for big graph data that can optimize enterprise operations.

Blazegraph logo Blazegraph

Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs.
  • GraphSQL Landing page
    Landing page //
    2023-07-01
  • Blazegraph Landing page
    Landing page //
    2021-07-22

GraphSQL features and specs

No features have been listed yet.

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 GraphSQL and Blazegraph)

GraphSQL

Blazegraph

Graph Databases
38 38%
Graph Databases
62% 62
NoSQL Databases
40 40%
NoSQL Databases
60% 60
Databases
38 38%
Databases
62% 62
Big Data
50 50%
Big Data
50% 50

User comments

Share your experience with using GraphSQL and Blazegraph. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Blazegraph seems to be more popular. It has been mentiond 2 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.

GraphSQL mentions (0)

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

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 GraphSQL and Blazegraph, you can also consider the following products

GrapheneDB - Graph databases as-a-service

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

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.

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

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

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