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Description
JanusGraph stands out as a highly scalable graph database designed for efficiently storing and querying extensive graphs that can comprise hundreds of billions of vertices and edges, all managed across a cluster of multiple machines. This project, which operates under The Linux Foundation, boasts contributions from notable organizations such as Expero, Google, GRAKN.AI, Hortonworks, IBM, and Amazon. It offers both elastic and linear scalability to accommodate an expanding data set and user community. Key features include robust data distribution and replication methods to enhance performance and ensure fault tolerance. Additionally, JanusGraph supports multi-datacenter high availability and provides hot backups for data security. All these capabilities are available without any associated costs, eliminating the necessity for purchasing commercial licenses, as it is entirely open source and governed by the Apache 2 license. Furthermore, JanusGraph functions as a transactional database capable of handling thousands of simultaneous users performing complex graph traversals in real time. It ensures support for both ACID properties and eventual consistency, catering to various operational needs. Beyond online transactional processing (OLTP), JanusGraph also facilitates global graph analytics (OLAP) through its integration with Apache Spark, making it a versatile tool for data analysis and visualization. This combination of features makes JanusGraph a powerful choice for organizations looking to leverage graph data effectively.
Description
RecallGraph is a versioned graph data store. It retains all changes its data (vertices, edges) have undergone to get to their current state. It supports point-in time graph traversals that allow the user to query any past state of a graph as well as the present.
RecallGraph can be used in situations where data is best represented using a network of edges and vertices (i.e., as a graph).
1. Both edges and vertices can contain properties in the form attribute/value pairs (equivalent of JSON objects).
2. Documents (vertices/edges), can change throughout their lives (both in their individual attributes/values as well as in their relationships to each other).
3. Documents from the past are just as important as their current states, so it is essential to retain and queryable their change history.
Also see this blog post for an intro - https://blog.recallgraph.tech/never-lose-your-old-data-again.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Atlas
Yes
Apache Cassandra
Yes
Apache HBase
Yes
Apache Solr
Yes
Apache Spark
Yes
Elasticsearch
Yes
G.V() Gremlin IDE
Yes
Google Cloud Bigtable
Yes
Graphlytic
Yes
Hackolade
Yes
Integrations
Apache Atlas
No
Apache Cassandra
No
Apache HBase
No
Apache Solr
No
Apache Spark
No
Elasticsearch
No
G.V() Gremlin IDE
No
Google Cloud Bigtable
No
Graphlytic
No
Hackolade
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
https://recallgraph.tech/schedule
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
JanusGraph
Founded
2016
Country
United States
Website
janusgraph.org
Vendor Details
Company Name
RecallGraph
Founded
2020
Country
India
Website
recallgraph.tech/