Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AnzoGraph DB boasts an extensive array of analytical features that can significantly improve your analytical framework. Check out this video to discover how AnzoGraph DB operates as a Massively Parallel Processing (MPP) native graph database specifically designed for data harmonization and analytics. This horizontally scalable graph database is optimized for online analytics and tackling data harmonization issues. Addressing challenges related to linked data, AnzoGraph DB stands out as a leading analytical graph database in the market. It offers robust online performance suitable for enterprise-scale graph applications, ensuring efficiency and speed. AnzoGraph DB employs familiar SPARQL*/OWL for semantic graphs, while also accommodating Labeled Property Graphs (LPGs). Its vast array of analytical, machine learning, and data science tools empowers users to uncover new insights at remarkable speed and scale. By prioritizing context and relationships among data, you can enhance your analysis significantly. Additionally, the database enables ultra-fast data loading and execution of analytical queries, making it an invaluable asset for any data-driven organization.
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
Amazon Web Services (AWS)
Yes
Apache Kafka
Yes
Docker
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
Microsoft Azure
Yes
Tableau
Yes
Integrations
Amazon Web Services (AWS)
No
Apache Kafka
No
Docker
No
Google Cloud Platform
No
Jupyter Notebook
No
Microsoft Azure
No
Tableau
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Cambridge Semantics
Founded
2007
Country
United States
Website
www.cambridgesemantics.com/anzograph/
Vendor Details
Company Name
RecallGraph
Founded
2020
Country
India
Website
recallgraph.tech/