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DBMS > H2 vs. Hive vs. Oracle Berkeley DB vs. Prometheus

System Properties Comparison H2 vs. Hive vs. Oracle Berkeley DB vs. Prometheus

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHive  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopWidely used in-process key-value storeOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series 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
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.h2database.comhive.apache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlprometheus.io
Technical documentationwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlprometheus.io/­docs
DeveloperThomas MuellerApache Software Foundation infoinitially developed by FacebookOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2005201219942015
Current release2.2.220, July 20233.1.3, April 202218.1.40, May 2020
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source infocommercial license availableOpen 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 languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)Go
Server operating systemsAll OS with a Java VMAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoNumeric data only
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.noyes infoonly with the Berkeley DB XML editionno infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesJavaC++
Java
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reducenono
Triggersyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnono

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