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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
RushDB is an innovative, open-source graph database that requires no configuration and rapidly converts JSON and CSV files into a fully normalized, queryable Neo4j graph, all while avoiding the complexities associated with schema design, migrations, and manual indexing. Tailored for contemporary applications as well as AI and machine learning workflows, RushDB offers an effortless experience for developers, merging the adaptability of NoSQL with the organized capabilities of relational databases.
By incorporating automatic data normalization, ensuring ACID compliance, and featuring a robust API, RushDB streamlines the often challenging processes of data ingestion, relationship management, and query optimization, allowing developers to direct their energies toward building applications rather than managing databases.
Some notable features include:
1. Instantaneous data ingestion without the need for configuration
2. Storage and querying capabilities powered by graph technology
3. Support for ACID transactions and seamless schema evolution
4. A developer-friendly API that facilitates querying akin to an SDK
5. High-performance capabilities for search and analytics
6. Flexibility to be self-hosted or cloud-compatible.
This combination of features positions RushDB as a transformative solution in the realm of data management.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
Yes
Apache Kafka
Yes
Docker
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
Microsoft Azure
Yes
Neo4j
No
Tableau
Yes
Integrations
Amazon Web Services (AWS)
No
Apache Kafka
No
Docker
No
Google Cloud Platform
No
Jupyter Notebook
No
Microsoft Azure
No
Neo4j
Yes
Tableau
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$9/month
Free Trial
Yes
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
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cambridge Semantics
Founded
2007
Country
United States
Website
www.cambridgesemantics.com/anzograph/
Vendor Details
Company Name
RushDB
Founded
2023
Country
United States
Website
rushdb.com
Product Features
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No