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DBMS > Apache IoTDB vs. Hazelcast vs. IBM Db2 Event Store vs. Microsoft Access

System Properties Comparison Apache IoTDB vs. Hazelcast vs. IBM Db2 Event Store vs. Microsoft Access

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkA widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesMicrosoft 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 DBMSKey-value storeEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#298  Overall
#25  Time Series DBMS
Score9.18
Rank#48  Overall
#6  Key-value stores
Score0.36
Rank#257  Overall
#2  Event Stores
#18  Time Series DBMS
Score115.40
Rank#10  Overall
#7  Relational DBMS
Websiteiotdb.apache.orghazelcast.comwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationhazelcast.org/­imdg/­docswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmldeveloper.microsoft.com/­en-us/­access
DeveloperApache Software FoundationHazelcastIBMMicrosoft
Initial release2018200820171992
Current release4.2, March 20212.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availablecommercial 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 VMLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standard
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyesyes infosince Access 2010 using the ACE-engine
Triggersnoyes infoEventsnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes 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.yesyesyes
User concepts infoAccess controlnoRole-based access controlfine 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 IoTDBHazelcastIBM Db2 Event StoreMicrosoft Access
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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Apache IoTDBHazelcastIBM Db2 Event StoreMicrosoft Access
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