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DBMS > AlaSQL vs. IBM Db2 Event Store vs. Kinetica vs. Microsoft Access vs. Trafodion

System Properties Comparison AlaSQL vs. IBM Db2 Event Store vs. Kinetica vs. Microsoft Access vs. Trafodion

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS libraryDistributed Event Store optimized for Internet of Things use casesFully 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.)Transactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Event Store
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational 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
Websitealasql.orgwww.ibm.com/­products/­db2-event-storewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accesstrafodion.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlwww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesstrafodion.apache.org/­documentation.html
DeveloperAndrey Gershun & Mathias R. WulffIBMKineticaMicrosoftApache Software Foundation, originally developed by HP
Initial release20142017201219922014
Current release2.07.1, August 20211902 (16.0.11328.20222), March 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree developer edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC and C++C, C++C++C++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux infoLinux, macOS, Windows for the developer additionLinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyes
APIs and other access methodsJavaScript APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesuser defined functionsyes infosince Access 2010 using the ACE-engineJava Stored Procedures
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
AlaSQLIBM Db2 Event StoreKineticaMicrosoft AccessTrafodion
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