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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 AllegroGraph?

AllegroGraph stands out as a groundbreaking solution that facilitates limitless data integration, employing a proprietary method to consolidate fragmented data and information into an Entity Event Knowledge Graph framework designed for extensive big data analysis. By leveraging its distinctive federated sharding features, AllegroGraph delivers comprehensive insights and supports intricate reasoning over a distributed Knowledge Graph. Additionally, users of AllegroGraph can access an integrated version of Gruff, an intuitive browser-based tool for graph visualization that aids in uncovering and understanding relationships within enterprise Knowledge Graphs. Moreover, Franz's Knowledge Graph Solution not only encompasses advanced technology but also offers services aimed at constructing robust Entity Event Knowledge Graphs, drawing upon top-tier products, tools, expertise, and experience in the field. This comprehensive approach ensures that organizations can effectively harness their data for strategic decision-making and innovation.

Media

Media

Integrations Supported

Apache Solr
Cloudera
Docker
Hackolade
Kubernetes
MongoDB
PoolParty
Swarm

Integrations Supported

Apache Solr
Cloudera
Docker
Hackolade
Kubernetes
MongoDB
PoolParty
Swarm

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Franz Inc.

Company Location

San Francisco Bay Area

Company Website

www.franz.com

Categories and Features

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Knowledge Management

Artificial Intelligence (AI)
Cataloging / Categorization
Collaboration
Content Management
Decision Tree
Discussion Boards
Full Text Search
Knowledge Base Management
Self Service Portal

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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