About
With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries.
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About
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.*
GraphDB is a highly efficient and robust graph database with RDF and SPARQL support.
The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section.
GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle).
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About
Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server.
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About
dbForge Schema Compare for MySQL is a fast, easy-to-use tool to compare and synchronize structures of MySQL, MariaDB and Percona databases. The tool provides a comprehensive view of all differences between MySQL, MariaDB and Percona database schemas, generates clear and accurate SQL synchronization script that can be used to update database schema.
Key features:
AI Assistant
Fast comparison of any databases, including extra-large ones
Clear display of comparison results
Capability to save and load comparison settings
Filtering, sorting, grouping for efficient management of compared objects
Text comparison feature shows DDL differences of compared objects
Synchronization script preview for any compared object
Schema synchronization wizard allows you to generate a standard-driven synchronization script with additional options
Integrated SQL editor for advanced work with SQL scripts and query files
Well-tested functionality, reliable and safe for your database
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Industries that need an horizontally scalable graph database for online analytics and data harmonization
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Audience
Developers, Knowledge Managers, Solution Architects, Data Scientists
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Audience
Graph database and graph analytics solution for IT teams
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Audience
Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
89.95 $
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationCambridge Semantics
Founded: 2007
United States
www.cambridgesemantics.com/anzograph/
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Company InformationOntotext
Founded: 2008
Bulgaria
www.ontotext.com/product/graphdb
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/database/graph/
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com/dbforge/mysql/schemacompare/
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Database Features
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
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GIS Features
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
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Database Features
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
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Integrations
Amazon Web Services (AWS)
Apache Kafka
Azure Marketplace
Docker
Gate
Google Cloud Platform
Hackolade
Jupyter Notebook
Microsoft Azure
MongoDB
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Integrations
Amazon Web Services (AWS)
Apache Kafka
Azure Marketplace
Docker
Gate
Google Cloud Platform
Hackolade
Jupyter Notebook
Microsoft Azure
MongoDB
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Integrations
Amazon Web Services (AWS)
Apache Kafka
Azure Marketplace
Docker
Gate
Google Cloud Platform
Hackolade
Jupyter Notebook
Microsoft Azure
MongoDB
|
Integrations
Amazon Web Services (AWS)
Apache Kafka
Azure Marketplace
Docker
Gate
Google Cloud Platform
Hackolade
Jupyter Notebook
Microsoft Azure
MongoDB
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