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DBMS > CrateDB vs. Percona Server for MongoDB vs. Prometheus vs. SiteWhere

System Properties Comparison CrateDB vs. Percona Server for MongoDB vs. Prometheus vs. SiteWhere

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionDistributed Database based on LuceneA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-source Time Series DBMS and monitoring systemM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitecratedb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbprometheus.iogithub.com/­sitewhere/­sitewhere
Technical documentationcratedb.com/­docsdocs.percona.com/­percona-distribution-for-mongodbprometheus.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperCratePerconaSiteWhere
Initial release2013201520152010
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL Version 2Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languageJavaC++GoJava
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxLinux
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynonono
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
proprietary protocol using JSONRESTful HTTP/JSON APIHTTP REST
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
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)JavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationyes infoby Federationselectable replication factor infobased on HBase
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
Eventual Consistency
Immediate Consistency
noneImmediate 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 strategynonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Enginenono
User concepts infoAccess controlrights management via user accountsAccess rights for users and rolesnoUsers with fine-grained authorization concept
More information provided by the system vendor
CrateDBPercona Server for MongoDBPrometheusSiteWhere
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
CrateDBPercona Server for MongoDBPrometheusSiteWhere
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