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DBMS > Apache IoTDB vs. Informix vs. Linter vs. Microsoft Access

System Properties Comparison Apache IoTDB vs. Informix vs. Linter vs. Microsoft Access

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInformix  Xexclude from comparisonLinter  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 secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataRDBMS for high security requirementsMicrosoft 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 DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#242  Overall
#19  Time Series DBMS
Score22.87
Rank#35  Overall
#21  Relational DBMS
Score0.13
Rank#348  Overall
#149  Relational DBMS
Score138.17
Rank#9  Overall
#6  Relational DBMS
Websiteiotdb.apache.orgwww.ibm.com/­products/­informixlinter.ru/­enwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
developer.microsoft.com/­en-us/­access
DeveloperApache Software FoundationIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.relex.ru/­enMicrosoft
Initial release2018198419901992
Current release14.10.FC5, November 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and JavaC and C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
Native API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesyesyes infoproprietary syntax with the possibility to convert from PL/SQLyes infosince Access 2010 using the ACE-engine
Triggersyesyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone
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 integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlyesUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Apache IoTDBInformixLinterMicrosoft Access
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
» more
Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
» more
Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more
Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more
Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more
Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more

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Apache IoTDBInformixLinterMicrosoft Access
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