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What is RecallGraph?
RecallGraph is a graph data storage solution that keeps a detailed history of all modifications made to its data, including vertices and edges, allowing it to reflect its current status. It enables users to perform time-specific graph traversals, meaning they can access and query any previous version of the graph, in addition to the current one.
This system is particularly useful for scenarios where information is best depicted through interconnected edges and vertices (i.e., as a graph).
1. Each edge and vertex can hold various attributes in the format of key/value pairs, similar to JSON objects.
2. The documents representing edges and vertices can evolve over time, altering their individual attributes/values and their interconnections.
3. Preserving the historical context of documents is crucial, as past versions are as valuable as the present, necessitating a reliable way to maintain and access their change history.
In addition, this blog post provides a comprehensive introduction - https://blog.recallgraph.tech/never-lose-your-old-data-again, which further elaborates on the features and advantages of using RecallGraph.
What is Apache TinkerPop?
Apache TinkerPopâ„¢ is a dynamic graph computing framework that caters to both online transaction processing (OLTP) in graph databases and online analytical processing (OLAP) within graph analytic systems. At the heart of this framework lies Gremlin, a robust graph traversal language that empowers users to craft complex queries and traversals on their application's property graph with finesse. Each traversal in Gremlin comprises a sequence of steps that can be nested, offering significant flexibility in how data is explored and analyzed. Fundamentally, a graph is formed by interconnected vertices and edges, each capable of containing various key/value pairs referred to as properties. Vertices represent unique entities such as people, places, or events, while edges denote the relationships that link these vertices together. For instance, a vertex could signify an individual who knows another person, attended a specific event, or visited a certain place recently. This framework proves especially advantageous when tackling intricate domains filled with diverse objects (vertices) that can be linked through various types of relationships (edges). By grasping this structural design, users can maximize the potential of their data and extract meaningful insights from their interconnected networks. Ultimately, the ability to navigate and analyze such complex relationships enhances decision-making processes and drives innovation across various fields.
Integrations Supported
Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python
Integrations Supported
Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
RecallGraph
Date Founded
2020
Company Location
India
Company Website
recallgraph.tech/
Company Facts
Organization Name
Apache Software Foundation
Company Location
United States
Company Website
tinkerpop.apache.org