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DBMS > Brytlyt vs. GeoMesa vs. openGauss vs. TerarkDB

System Properties Comparison Brytlyt vs. GeoMesa vs. openGauss vs. TerarkDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGeoMesa  Xexclude from comparisonopenGauss  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSSpatial DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score1.05
Rank#189  Overall
#87  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitebrytlyt.iowww.geomesa.orggitee.com/­opengauss
opengauss.org
github.com/­bytedance/­terarkdb
Technical documentationdocs.brytlyt.iowww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBrytlytCCRi and othersHuawei and openGauss communityByteDance, originally Terark
Initial release2016201420192016
Current release5.0, August 20234.0.5, February 20243.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAScalaC, C++, JavaC++
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoANSI SQL 2011no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layerSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.depending on storage layernoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standardno

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More resources
BrytlytGeoMesaopenGaussTerarkDB
DB-Engines blog posts

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