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DBMS > Atos Standard Common Repository vs. InfinityDB vs. LMDB vs. Microsoft Access vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. LMDB vs. Microsoft Access vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInfinityDB  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA Java embedded Key-Value Store which extends the Java Map interfaceA high performant, light-weight, embedded key-value database libraryMicrosoft 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 development
Primary database modelDocument store
Key-value store
Key-value storeKey-value storeRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#359  Overall
#54  Key-value stores
Score2.33
Rank#118  Overall
#21  Key-value stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryboilerbay.comwww.symas.com/­symas-embedded-database-lmdbwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­search
Technical documentationboilerbay.com/­infinitydb/­manualwww.lmdb.tech/­docdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsBoiler Bay Inc.SymasMicrosoftMicrosoft
Initial release20162002201119922015
Current release17034.00.9.32, January 20241902 (16.0.11328.20222), March 2019V1
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC++
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows
Windows infoNot a real database server, but making use of DLLshosted
Data schemeSchema and schema-less with LDAP viewsyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.yesnonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyesyes
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standardno
APIs and other access methodsLDAPAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsJava.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineno
Triggersyesnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationnonono infoa simple user-level security was built in till version Access 2003yes infousing Azure authentication

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More resources
Atos Standard Common RepositoryInfinityDBLMDBMicrosoft AccessMicrosoft Azure AI Search
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