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DBMS > Apache IoTDB vs. Blueflood vs. Firebase Realtime Database vs. Microsoft Access vs. Transbase

System Properties Comparison Apache IoTDB vs. Blueflood vs. Firebase Realtime Database vs. Microsoft Access vs. Transbase

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBlueflood  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTransbase  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 FlinkScalable TimeSeries DBMS based on CassandraCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.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 resource-optimized, high-performance, universally applicable RDBMS
Primary database modelTime Series DBMSTime Series DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteiotdb.apache.orgblueflood.iofirebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­microsoft-365/­accesswww.transaction.de/­en/­products/­transbase.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­rax-maas/­blueflood/­wikifirebase.google.com/­docs/­databasedeveloper.microsoft.com/­en-us/­accesswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationRackspaceGoogle infoacquired by Google 2014MicrosoftTransaction Software GmbH
Initial release20182013201219921987
Current release1.1.0, April 20231902 (16.0.11328.20222), March 2019Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Officecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C and C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
hostedWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyespredefined schemeschema-freeyesyes
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes infobut not compliant to any SQL standardyes
APIs and other access methodsJDBC
Native API
HTTP RESTAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnolimited functionality with using 'rules'yes infosince Access 2010 using the ACE-engineyes
TriggersyesnoCallbacks are triggered when data changesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on CassandranoneSource-replica replication
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
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID infobut no files for transaction loggingyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesnoyes, based on authentication and database rulesno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Apache IoTDBBluefloodFirebase Realtime DatabaseMicrosoft AccessTransbase
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