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 > Ehcache vs. H2 vs. HEAVY.AI vs. OpenQM vs. Stardog

System Properties Comparison Ehcache vs. H2 vs. HEAVY.AI vs. OpenQM vs. Stardog

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareQpenQM is a high-performance, self-tuning, multi-value DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeRelational DBMSRelational DBMSMultivalue DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.ehcache.orgwww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.stardog.com
Technical documentationwww.ehcache.org/­documentationwww.h2database.com/­html/­main.htmldocs.heavy.aidocs.stardog.com
DeveloperTerracotta Inc, owned by Software AGThomas MuellerHEAVY.AI, Inc.Rocket Software, originally Martin PhillipsStardog-Union
Initial release20092005201619932010
Current release3.10.0, March 20222.2.220, July 20235.10, January 20223.4-127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageJavaJavaC++ and CUDAJava
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyes infowith some exceptionsschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyesno infoImport/export of XML data possible
Secondary indexesnoyesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJCacheJDBC
ODBC
JDBC
ODBC
Thrift
Vega
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesJavaJavaAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsnoyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infoCache Event Listenersyesnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infoRound robinyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and roles

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
EhcacheH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QMStardog
Recent citations in the news

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Atlassian asks customers to patch critical Jira vulnerability
22 July 2021, BleepingComputer

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

DZone Coding Java JBoss 5 to 7 in 11 steps
9 January 2014, DZone

provided by Google News

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

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

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

provided by Google News



Share this page

Featured Products

Milvus logo

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

RaimaDB logo

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

Neo4j logo

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

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

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

Present your product here