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DBMS > CrateDB vs. Percona Server for MySQL vs. Rockset vs. SpaceTime

System Properties Comparison CrateDB vs. Percona Server for MySQL vs. Rockset vs. SpaceTime

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRockset  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionDistributed Database based on LuceneEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A scalable, reliable search and analytics service in the cloud, built on RocksDBSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSDocument storeSpatial DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Relational 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
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitecratedb.comwww.percona.com/­software/­mysql-database/­percona-serverrockset.comwww.mireo.com/­spacetime
Technical documentationcratedb.com/­docswww.percona.com/­downloads/­Percona-Server-LATESTdocs.rockset.com
DeveloperCratePerconaRocksetMireo
Initial release2013200820192020
Current release8.0.36-28, 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 and C++C++C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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.noyesno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesRead-only SQL queries, including JOINsA subset of ANSI SQL is implemented
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP RESTRESTful HTTP API
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
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replication
Source-replica replication
XtraDB Cluster
yesReal-time block device replication (DRBD)
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
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
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 strategyACIDnono
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.noyesno
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users and organizations can be defined via Rockset consoleyes
More information provided by the system vendor
CrateDBPercona Server for MySQLRocksetSpaceTime
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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CrateDBPercona Server for MySQLRocksetSpaceTime
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