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DBMS > Apache IoTDB vs. Apache Pinot vs. Firebird vs. Microsoft Access

System Properties Comparison Apache IoTDB vs. Apache Pinot vs. Firebird vs. Microsoft Access

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonFirebird  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 FlinkRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFirebird is an open source RDBMS forked from Borland's InterBaseMicrosoft 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 DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websiteiotdb.apache.orgpinot.apache.orgwww.firebirdsql.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.pinot.apache.orgwww.firebirdsql.org/­en/­reference-manualsdeveloper.microsoft.com/­en-us/­access
DeveloperApache Software FoundationApache Software Foundation and contributorsFirebird FoundationMicrosoft
Initial release201820152000 infoAs fork of Borland's InterBase1992
Current release1.1.0, April 20231.0.0, September 20235.0.1, August 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoInitial Developer's Public Licensecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java JDK11 or higherAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
Native API
JDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Java
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesPSQLyes infosince Access 2010 using the ACE-engine
Triggersyesyesyes 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)horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyesyes 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.yes
User concepts infoAccess controlyesUsers with fine-grained authorization conceptno infoa simple user-level security was built in till version Access 2003

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More resources
Apache IoTDBApache PinotFirebirdMicrosoft Access
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