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DBMS > Atos Standard Common Repository vs. Coveo vs. Databricks vs. LevelDB vs. Microsoft Access

System Properties Comparison Atos Standard Common Repository vs. Coveo vs. Databricks vs. LevelDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCoveo  Xexclude from comparisonDatabricks  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  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 networksAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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.)
Primary database modelDocument store
Key-value store
Search engineDocument store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.coveo.comwww.databricks.comgithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.coveo.comdocs.databricks.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsCoveoDatabricksGoogleMicrosoft
Initial release20162012201320111992
Current release17031.23, February 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSDcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinuxhostedhostedIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.yesnoyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnonowith Databricks SQLnoyes infobut not compliant to any SQL standard
APIs and other access methodsLDAPRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesnoyes infosince Access 2010 using the ACE-engine
Triggersyesyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationgranular access controls, API key management, content filtersnono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Atos Standard Common RepositoryCoveoDatabricksLevelDBMicrosoft Access
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryCoveoDatabricksLevelDBMicrosoft Access
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