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DBMS > Alibaba Cloud TSDB vs. IBM Db2 Event Store vs. IRONdb vs. Kinetica vs. Microsoft Access

System Properties Comparison Alibaba Cloud TSDB vs. IBM Db2 Event Store vs. IRONdb vs. Kinetica vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceDistributed Event Store optimized for Internet of Things use casesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsMicrosoft 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 DBMSEvent Store
Time Series DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#301  Overall
#26  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbwww.ibm.com/­products/­db2-event-storewww.circonus.com/solutions/time-series-database/www.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbwww.ibm.com/­docs/­en/­db2-event-storedocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comdeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaIBMCirconus LLC.KineticaMicrosoft
Initial release2017201720121992
Current release2.0V0.10.20, January 20187.1, August 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C and C++C, C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinuxLinuxWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes infotext, numeric, histogramsyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsyes infobut not compliant to any SQL standard
APIs and other access methodsHTTP RESTADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyes, in Luauser defined functionsyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes 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.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess managed on TSDB instance levelfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud TSDBIBM Db2 Event StoreIRONdbKineticaMicrosoft Access
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