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DBMS > Apache Doris vs. Badger vs. Brytlyt vs. openGauss

System Properties Comparison Apache Doris vs. Badger vs. Brytlyt vs. openGauss

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­dgraph-io/­badgerbrytlyt.iogitee.com/­opengauss
opengauss.org
Technical documentationgithub.com/­apache/­doris/­wikigodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation, originally contributed from BaiduDGraph LabsBrytlytHuawei and openGauss community
Initial release2017201720162019
Current release1.2.2, February 20235.0, August 20233.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source
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.
Implementation languageJavaGoC, C++ and CUDAC, C++, Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesANSI SQL 2011
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesJavaGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions infoin PL/pgSQLyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DorisBadgerBrytlytopenGauss
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Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
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Bringing GPUs To Bear On Bog Standard Relational Databases
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