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DBMS > Apache IoTDB vs. etcd vs. H2 vs. IBM Db2 vs. Microsoft Access

System Properties Comparison Apache IoTDB vs. etcd vs. H2 vs. IBM Db2 vs. Microsoft Access

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonetcd  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Access  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 FlinkA distributed reliable key-value storeFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Common in IBM host environments, 2 different versions for host and Windows/LinuxMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteiotdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.h2database.comwww.ibm.com/­products/­db2www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2developer.microsoft.com/­en-us/­access
DeveloperApache Software FoundationThomas MuellerIBMMicrosoft
Initial release201820051983 infohost version1992
Current release1.1.0, April 20233.4, August 20192.2.220, July 202312.1, October 20161902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree version is availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
Windows infoexperimental
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyesyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
Native API
gRPC
JSON over HTTP
JDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined Functionsyesyes infosince Access 2010 using the ACE-engine
Triggersyesyes, watching key changesyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoonly with Windows/Unix/Linux Versionnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infowith separate tools (MQ, InfoSphere)none
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 integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
Apache IoTDBetcdH2IBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Access
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