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DBMS > Apache Doris vs. GBase vs. GridGain vs. SwayDB

System Properties Comparison Apache Doris vs. GBase vs. GridGain vs. SwayDB

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGBase  Xexclude from comparisonGridGain  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GridGain is an in-memory computing platform, built on Apache IgniteAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
www.gbase.cnwww.gridgain.comswaydb.simer.au
Technical documentationgithub.com/­apache/­doris/­wikiwww.gridgain.com/­docs/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduGeneral Data Technology Co., Ltd.GridGain Systems, Inc.Simer Plaha
Initial release2017200420072018
Current release1.2.2, February 2023GBase 8a, GBase 8s, GBase 8cGridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial, open sourceOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJava, C++, .Net, Python, REST, SQLScala
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
z/OS
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.noyesyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
MySQL client
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaC#C#
C++
Java
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of operations
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesRole-based access control
Security Hooks for custom implementations
no

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More resources
Apache DorisGBaseGridGainSwayDB
Recent citations in the news

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
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