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DBMS > H2 vs. OpenTenBase vs. Prometheus vs. Spark SQL

System Properties Comparison H2 vs. OpenTenBase vs. Prometheus vs. Spark SQL

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonOpenTenBase  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An enterprise-level distributed HTAP open source database based on PostgreSQLOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.h2database.comgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
prometheus.iospark.apache.org/­sql
Technical documentationwww.h2database.com/­html/­main.htmldocs.opentenbase.org
docs.opentenbase.org/­en
prometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperThomas MuellerOpenAtom Foundation, previously TencentApache Software Foundation
Initial release200520152014
Current release2.2.220, July 20232.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-3Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoScala
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.nono infoImport of XML data possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesJavaC
Go
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnono

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More resources
H2OpenTenBasePrometheusSpark SQL
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