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DBMS > CrateDB vs. Datastax Enterprise vs. GigaSpaces vs. OpenQM vs. RDF4J

System Properties Comparison CrateDB vs. Datastax Enterprise vs. GigaSpaces vs. OpenQM vs. RDF4J

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionDistributed Database based on LuceneDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsQpenQM is a high-performance, self-tuning, multi-value DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Multivalue DBMSRDF store
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Websitecratedb.comwww.datastax.com/­products/­datastax-enterprisewww.gigaspaces.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrdf4j.org
Technical documentationcratedb.com/­docsdocs.datastax.comdocs.gigaspaces.com/­latest/­landing.htmlrdf4j.org/­documentation
DeveloperCrateDataStaxGigaspaces TechnologiesRocket Software, originally Martin PhillipsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132011200019932004
Current release5.8.1, August 20246.8, April 202015.5, September 20203.4-12
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJava, C++, .NetJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Linux
macOS
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes infowith some exceptionsyes infoRDF Schemas
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.nonono infoXML can be used for describing objects metadatayes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like DML and DDL statements (CQL); Spark SQLSQL-99 for query and DML statementsnono
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyesyesyes
Triggersnoyesyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Shardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyno infoAtomicity and isolation are supported for single operationsACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsAccess rights for users can be defined per objectRole-based access controlAccess rights can be defined down to the item levelno
More information provided by the system vendor
CrateDBDatastax EnterpriseGigaSpacesOpenQM infoalso called QMRDF4J infoformerly known as Sesame
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
CrateDBDatastax EnterpriseGigaSpacesOpenQM infoalso called QMRDF4J infoformerly known as Sesame
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