AnzoGraph DB

AnzoGraph DB

Cambridge Semantics
+

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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.

About

​FalkorDB is an ultra-fast, multi-tenant graph database optimized for GraphRAG, delivering accurate, relevant AI/ML results with reduced hallucinations and enhanced performance. It leverages sparse matrix representations and linear algebra to efficiently handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from large language models. FalkorDB supports the OpenCypher query language with proprietary enhancements, enabling expressive and efficient querying of graph data. It offers built-in vector indexing and full-text search capabilities, allowing for complex searches and similarity matching within the same database environment. FalkorDB's architecture includes multi-graph support, enabling multiple isolated graphs within a single instance, ensuring security and performance across tenants. It also provides high availability with live replication, ensuring data is always accessible.

About

Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Industries that need an horizontally scalable graph database for online analytics and data harmonization

Audience

AI engineers and data scientists seeking a tool to build and develop fast and accurate databases

Audience

Programmers in need of a tool to develop faster and cleaner SQL Server database applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

$199.95 per year
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Cambridge Semantics
Founded: 2007
United States
www.cambridgesemantics.com/anzograph/

Company Information

FalkorDB
Founded: 2023
Israel
www.falkordb.com

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/sdac/

Alternatives

Alternatives

Alternatives

GraphDB

GraphDB

Ontotext
InfiniteGraph

InfiniteGraph

Objectivity
GraphBase

GraphBase

FactNexus
Graphlytic

Graphlytic

Demtec

Categories

Categories

Categories

Integrations

Amazon Web Services (AWS)
Apache Kafka
Azure SQL Database
ChatGPT
Cognee
DSPy
FreeBSD
Gemini
Gemini Enterprise
Jupyter Notebook
LangChain
Llama
Mem0
Microsoft Azure
Netlify
OpenAI
Red Hat Cloud Suite
SQL Server
Tableau
Vercel

Integrations

Amazon Web Services (AWS)
Apache Kafka
Azure SQL Database
ChatGPT
Cognee
DSPy
FreeBSD
Gemini
Gemini Enterprise
Jupyter Notebook
LangChain
Llama
Mem0
Microsoft Azure
Netlify
OpenAI
Red Hat Cloud Suite
SQL Server
Tableau
Vercel

Integrations

Amazon Web Services (AWS)
Apache Kafka
Azure SQL Database
ChatGPT
Cognee
DSPy
FreeBSD
Gemini
Gemini Enterprise
Jupyter Notebook
LangChain
Llama
Mem0
Microsoft Azure
Netlify
OpenAI
Red Hat Cloud Suite
SQL Server
Tableau
Vercel
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