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DBMS > CockroachDB vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. MySQL vs. Warp 10

System Properties Comparison CockroachDB vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. MySQL vs. Warp 10

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMySQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSSpatial DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.cockroachlabs.comwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticswww.mysql.comwww.warp10.io
Technical documentationwww.cockroachlabs.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdev.mysql.com/­docwww.warp10.io/­content/­02_Getting_started
DeveloperCockroach LabsCCRi and othersMicrosoftOracle infosince 2010, originally MySQL AB, then SunSenX
Initial release20152014201619952015
Current release23.1.1, May 20234.0.5, February 20248.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache License 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageGoScalaC++C and C++Java
Server operating systemsLinux
macOS
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemedynamic schemayesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesyes infowith proprietary extensionsno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoTransact SQLyes infoproprietary syntaxyes infoWarpScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTdepending on storage layerSharding, horizontal partitioninghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTdepending on storage layeryesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryesyes
User concepts infoAccess controlRole-based access controlyes infodepending on the DBMS used for storageyesUsers with fine-grained authorization concept infono user groups or rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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