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DBMS > GreptimeDB vs. H2 vs. Yanza

System Properties Comparison GreptimeDB vs. H2 vs. Yanza

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonH2  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitegreptime.comwww.h2database.comyanza.com
Technical documentationdocs.greptime.comwww.h2database.com/­html/­main.html
DeveloperGreptime Inc.Thomas MuellerYanza
Initial release202220052015
Current release2.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMWindows
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesno
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresPythonJava Stored Procedures and User-Defined Functionsno
Triggersyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
GreptimeDBH2Yanza
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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