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DBMS > Apache IoTDB vs. H2 vs. HyperSQL vs. Oracle Berkeley DB vs. STSdb

System Properties Comparison Apache IoTDB vs. H2 vs. HyperSQL vs. Oracle Berkeley DB vs. STSdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBWidely used in-process key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteiotdb.apache.orgwww.h2database.comhsqldb.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­STSSoft/­STSdb4
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software FoundationThomas MuellerOracle infooriginally developed by Sleepycat, which was acquired by OracleSTS Soft SC
Initial release20182005200119942011
Current release1.1.0, April 20232.2.220, July 20232.7.2, June 202318.1.40, May 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licenseOpen Source infocommercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
Native API
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaAll languages supporting JDBC/ODBC
Java
.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
C#
Java
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined FunctionsJava, SQLnono
Triggersyesyesyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
Apache IoTDBH2HyperSQL infoalso known as HSQLDBOracle Berkeley DBSTSdb
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