DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AnzoGraph DB vs. EXASOL vs. HEAVY.AI vs. mSQL vs. OrigoDB

System Properties Comparison AnzoGraph DB vs. EXASOL vs. HEAVY.AI vs. mSQL vs. OrigoDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEXASOL  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaremSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitecambridgesemantics.com/­anzographwww.exasol.comgithub.com/­heavyai/­heavydb
www.heavy.ai
hughestech.com.au/­products/­msqlorigodb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.exasol.com/­resourcesdocs.heavy.aiorigodb.com/­docs
DeveloperCambridge SemanticsExasolHEAVY.AI, Inc.Hughes TechnologiesRobert Friberg et al
Initial release20182000201619942009 infounder the name LiveDB
Current release2.3, January 20215.10, January 20224.4, October 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDACC#
Server operating systemsLinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono infocan be achieved using .NET
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
Python
Java
Lua
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnonoyes
Triggersnoyesnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoRound robinnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardnoRole based authorization

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AnzoGraph DBEXASOLHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022mSQL infoMini SQLOrigoDB
Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable?
19 September 2018, Forbes

provided by Google News

Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

It's Back to the Database Future for Exasol CEO Tewes
26 October 2023, Datanami

Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics
21 February 2024, businesswire.com

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption
20 March 2024, Yahoo Finance

Exasol brings SaaS-flex to on-prem and public cloud systems
31 May 2023, The Register

provided by Google News

HEAVY.AI Introduces HeavyIQ, Delivering Powerful Conversational Analytics Focused on Location and Time Data
19 March 2024, Datanami

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

Making the most of geospatial intelligence
14 April 2023, InfoWorld

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

provided by Google News

Writing a Web Service in Perl
9 July 2003, PCQuest

Higher Education PS rules out ghost students before PAC - Zambia
29 November 2018, diggers.news

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Present your product here