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DBMS > Apache Doris vs. H2 vs. JSqlDb vs. Tigris

System Properties Comparison Apache Doris vs. H2 vs. JSqlDb vs. Tigris

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonH2  Xexclude from comparisonJSqlDb  Xexclude from comparisonTigris  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.JavaScript Query Language Database, stores JavaScript objects and primitivesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.h2database.comjsqldb.org (offline)www.tigrisdata.com
Technical documentationgithub.com/­apache/­doris/­wikiwww.h2database.com/­html/­main.htmlwww.tigrisdata.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduThomas MuellerKonrad von BackstromTigris Data, Inc.
Initial release2017200520182022
Current release1.2.2, February 20232.2.220, July 20230.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnono
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesJavaJavaJavaScriptGo
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsfunctions in JavaScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache DorisH2JSqlDbTigris
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Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
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