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

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

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonopenGemini  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 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.)An open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Event Store
Time Series DBMS
Relational DBMSTime Series DBMSRelational 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
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Websitealasql.orgwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accesswww.opengemini.org
github.com/­openGemini
trafodion.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessdocs.opengemini.org/­guidetrafodion.apache.org/­documentation.html
DeveloperAndrey Gershun & Mathias R. WulffIBMMicrosoftHuawei and openGemini communityApache Software Foundation, originally developed by HP
Initial release20142017199220222014
Current release2.01902 (16.0.11328.20222), March 20191.1, July 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open 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++GoC++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesInteger, Float, Boolean, Stringyes
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 runtimeyes infobut not compliant to any SQL standardSQL-like query languageyes
APIs and other access methodsJavaScript APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP RESTADO.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
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-enginenoJava Stored Procedures
Triggersyesnoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationnoneyesyes, 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
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACID infobut no files for transaction loggingnoACID
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 storageyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Administrators and common users accountsfine grained access rights according to SQL-standard

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More resources
AlaSQLIBM Db2 Event StoreMicrosoft AccessopenGeminiTrafodion
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