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DBMS > AntDB vs. Atos Standard Common Repository vs. DuckDB vs. Microsoft Access vs. Sqrrl

System Properties Comparison AntDB vs. Atos Standard Common Repository vs. DuckDB vs. Microsoft Access vs. Sqrrl

Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDuckDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn embeddable, in-process, column-oriented SQL OLAP RDBMSMicrosoft 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.)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositoryduckdb.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationduckdb.org/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperAsiaInfo Technologies LimitedAtos Convergence CreatorsMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release2016201819922012
Current release17031.0.0, June 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Java
Server operating systemsLinuxserver-lessWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.yesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL2016 compliantnoyesyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
LDAPArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineno
Triggersyesyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationnono infoa simple user-level security was built in till version Access 2003Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
AntDBAtos Standard Common RepositoryDuckDBMicrosoft AccessSqrrl
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