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DBMS > Apache IoTDB vs. GBase vs. Microsoft Access vs. Realm vs. VoltDB

System Properties Comparison Apache IoTDB vs. GBase vs. Microsoft Access vs. Realm vs. VoltDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparisonVoltDB  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 FlinkWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Microsoft 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.)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiteiotdb.apache.orgwww.gbase.cnwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.iowww.voltdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldeveloper.microsoft.com/­en-us/­accessrealm.io/­docsdocs.voltdb.com
DeveloperApache Software FoundationGeneral Data Technology Co., Ltd.MicrosoftRealm, acquired by MongoDB in May 2019VoltDB Inc.
Initial release20182004199220142010
Current release1.1.0, April 2023GBase 8a, GBase 8s, GBase 8c1902 (16.0.11328.20222), March 201911.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonC++Java, C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxWindows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Linux
OS X infofor development
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsyes infobut not compliant to any SQL standardnoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
Native API
ADO.NET
C API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessaryJava
Triggersyesyesyes infosince Access 2010 using the ACE-engineyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash) and vertical partitioningnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlyesyesno infoa simple user-level security was built in till version Access 2003yesUsers and roles with access to stored procedures

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More resources
Apache IoTDBGBaseMicrosoft AccessRealmVoltDB
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