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DBMS > CrateDB vs. GeoMesa vs. Ingres vs. XTDB

System Properties Comparison CrateDB vs. GeoMesa vs. Ingres vs. XTDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonIngres  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed Database based on LuceneGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Well established RDBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Spatial DBMSRelational DBMSDocument 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
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecratedb.comwww.geomesa.orgwww.actian.com/­databases/­ingresgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcratedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.actian.com/­ingreswww.xtdb.com/­docs
DeveloperCrateCCRi and othersActian CorporationJuxt Ltd.
Initial release201320141974 infooriginally developed at University Berkely in early 1970s2019
Current release4.0.5, February 202411.2, May 20221.19, September 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0commercialOpen 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 languageJavaScalaCClojure
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, 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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-leveldepending on storage layerIngres Replicatoryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
depending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyesno
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 strategynoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes, 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.nodepending on storage layerno
User concepts infoAccess controlrights management via user accountsyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBGeoMesaIngresXTDB 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
CrateDBGeoMesaIngresXTDB infoformerly named Crux
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