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DBMS > IBM Db2 warehouse vs. LokiJS vs. Microsoft Access vs. Microsoft Azure Table Storage vs. Sphinx

System Properties Comparison IBM Db2 warehouse vs. LokiJS vs. Microsoft Access vs. Microsoft Azure Table Storage vs. Sphinx

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCloud-based data warehousing serviceIn-memory JavaScript DBMSMicrosoft 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.)A Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeRelational DBMSWide column storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.ibm.com/­products/­db2/­warehousegithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.com
Technical documentationtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docs
DeveloperIBMMicrosoftMicrosoftSphinx Technologies Inc.
Initial release20142014199220122001
Current release1902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoBundled with Microsoft OfficecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++C++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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.no infoImport/export of XML data possiblenono
Secondary indexesyesyes infovia viewsyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyes infobut not compliant to any SQL standardnoSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
JavaScript APIADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIProprietary protocol
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresPL/SQL, SQL PLView functions in JavaScriptyes infosince Access 2010 using the ACE-enginenono
Triggersyesyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction loggingyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signaturesno

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBLokiJSMicrosoft AccessMicrosoft Azure Table StorageSphinx
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