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DBMS > InfinityDB vs. Microsoft Access vs. Microsoft Azure AI Search vs. OpenMLDB vs. Spark SQL

System Properties Comparison InfinityDB vs. Microsoft Access vs. Microsoft Azure AI Search vs. OpenMLDB vs. Spark SQL

Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceMicrosoft 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.)Search-as-a-service for web and mobile app developmentAn open-source machine learning database that provides a feature platform for training and inferenceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRelational DBMSSearch engineTime Series DBMSRelational DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteboilerbay.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchopenmldb.aispark.apache.org/­sql
Technical documentationboilerbay.com/­infinitydb/­manualdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­mainspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBoiler Bay Inc.MicrosoftMicrosoft4 Paradigm Inc.Apache Software Foundation
Initial release20021992201520202014
Current release4.01902 (16.0.11328.20222), March 2019V12024-2 February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, Java, ScalaScala
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLshostedLinuxLinux
OS X
Windows
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyesyes
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 indexesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyesno
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoyesSQL-like DML and DDL statements
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJDBC
SQLAlchemy
JDBC
ODBC
Supported programming languagesJavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenonono
Triggersnoyes infosince Access 2010 using the ACE-enginenonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infobut no files for transaction loggingnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
InfinityDBMicrosoft AccessMicrosoft Azure AI SearchOpenMLDBSpark SQL
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