Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. *
GraphDB is a robust and efficient graph database that supports RDF and SPARQL.
The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases.
GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.
Description
Graphwise is an advanced AI platform designed to assist businesses in automating their knowledge processes while ensuring confidence in their AI systems by converting disparate data into a reliable semantic foundation. This comprehensive suite enhances the reliability and scalability of generative AI by transforming raw data into contextually rich, AI-compatible assets, implementing intelligent agent-based frameworks, and offering robust AI applications within a cohesive platform. By utilizing Precise GraphRAG, Graphwise transcends mere data fragments, leveraging a governed knowledge graph to anchor every response in established facts, thereby removing inaccuracies and delivering precise, actionable insights. The platform integrates automated modeling, cutting-edge graph technology, semantic search, recommendation systems, taxonomy and ontology management, data automation, graph-centric text mining, and enterprise-ready GraphRAG workflows. Suitable for a variety of applications, it addresses challenges in technical knowledge management, semantic digital twins, compliance intelligence, and scientific knowledge management, showcasing its versatility across numerous business needs. Additionally, Graphwise's innovative approach ensures that organizations can achieve a deeper understanding of their data, ultimately leading to informed decision-making and enhanced operational efficiency.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Marketplace
Yes
Gate
Yes
Hackolade
Yes
MongoDB
Yes
SolrCommerce
Yes
Integrations
Azure Marketplace
No
Gate
No
Hackolade
No
MongoDB
No
SolrCommerce
No
Pricing Details
Free, Standard and Enterprise versions available
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
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)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Ontotext
Founded
2008
Country
Bulgaria
Website
www.ontotext.com/product/graphdb
Vendor Details
Company Name
Graphwise
Country
Bulgaria
Website
graphwise.ai/
Product Features
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
Yes
Data Replication
Yes
Data Search
Yes
Data Security
Yes
Database Conversion
Yes
Mobile Access
Yes
Monitoring
Yes
NOSQL
Yes
Performance Analysis
Yes
Queries
Yes
Relational Interface
Yes
Virtualization
Yes
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No