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DBMS > CrateDB vs. Oracle Coherence vs. OrigoDB vs. XTDB

System Properties Comparison CrateDB vs. Oracle Coherence vs. OrigoDB vs. XTDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonOrigoDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed Database based on LuceneOracles in-memory data grid solutionA fully ACID in-memory object graph databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value storeDocument store
Object oriented DBMS
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecratedb.comwww.oracle.com/­java/­coherenceorigodb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcratedb.com/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherenceorigodb.com/­docswww.xtdb.com/­docs
DeveloperCrateOracleRobert Friberg et alJuxt Ltd.
Initial release201320072009 infounder the name LiveDB2019
Current release14.1, August 20231.19, September 2021
License infoCommercial or Open SourceOpen SourcecommercialOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaJavaC#Clojure
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes, extensible-data-notation format
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 infocan be achieved using .NETno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynonolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JCache
JPA
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
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
.Net
C++
Java
.NetClojure
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyesno
Triggersnoyes infoLive Eventsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyes, with selectable consistency levelSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
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 strategyconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyes infoWrite ahead logyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 accountsauthentification to access the cache via certificates or http basic authenticationRole based authorization
More information provided by the system vendor
CrateDBOracle CoherenceOrigoDBXTDB infoformerly named Crux
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
CrateDBOracle CoherenceOrigoDBXTDB infoformerly named Crux
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