Software Alternatives, Accelerators & Startups

Apache TinkerPop VS VelocityDB

Compare Apache TinkerPop VS VelocityDB and see what are their differences

Apache TinkerPop logo Apache TinkerPop

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

VelocityDB logo VelocityDB

VelocityDB is an easy to use, extremely high performance, scalable, embeddable and distributable object database system with indexes for C# .NET applications with a small footprint (~ 600KB).
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24
  • VelocityDB Landing page
    Landing page //
    2022-11-27

Apache TinkerPop videos

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VelocityDB videos

Welcome To VelocityDB

More videos:

  • Review - VelocityDB instalacija

Category Popularity

0-100% (relative to Apache TinkerPop and VelocityDB)
NoSQL Databases
51 51%
49% 49
Graph Databases
100 100%
0% 0
Databases
49 49%
51% 51
Database Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache TinkerPop should be more popular than VelocityDB. 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.

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 1 month ago
  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / 3 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

VelocityDB mentions (1)

  • SQL and M4 = Composable SQL
    Yes not my cup of tea. Had some poor experience with it in the past and don't really like its design philosophy unless somethings changed. Stores data as BSON I believe, which is better than text JSON I guess, but pretty ineffecient compared to something schema based that doesn't have to store keys with values for every every column/property. Didn't like the async indexing with stale results, nice to have as an... - Source: Hacker News / over 1 year ago

What are some alternatives?

When comparing Apache TinkerPop and VelocityDB, 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.

InterSystems Caché - Use InterSystems Caché advanced database for high-volume data. Learn more about how Caché analyzes unstructured data and handles transaction management.

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

dBASE PLUS 10 - Object-Oriented Databases

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

InterSystems IRIS - InterSystems IRIS Data Platform sets a new level of performance for rapidly developing and deploying applications. Learn how it can help your organization.