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DBMS > Apache IoTDB vs. BigchainDB vs. Microsoft Access vs. Sequoiadb vs. TimesTen

System Properties Comparison Apache IoTDB vs. BigchainDB vs. Microsoft Access vs. Sequoiadb vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimesTen  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 FlinkBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft 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.)NewSQL database with distributed OLTP and SQLAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSDocument storeRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgwww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.sequoiadb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accesswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software FoundationMicrosoftSequoiadb Ltd.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182016199220131998
Current release1.1.0, April 20231902 (16.0.11328.20222), March 2019Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxWindows infoNot a real database server, but making use of DLLsLinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regexyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infobut not compliant to any SQL standardSQL-like query languageyes
APIs and other access methodsJDBC
Native API
CLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
PHP
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-engineJavaScriptPL/SQL
Triggersyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneShardingnone
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 factornoneSource-replica replicationMulti-source replication
Source-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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesyesno infoa simple user-level security was built in till version Access 2003simple password-based access controlfine grained access rights according to SQL-standard

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More resources
Apache IoTDBBigchainDBMicrosoft AccessSequoiadbTimesTen
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