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DBMS > Datomic vs. Microsoft Access vs. RocksDB vs. SAP SQL Anywhere vs. XTDB

System Properties Comparison Datomic vs. Microsoft Access vs. RocksDB vs. SAP SQL Anywhere vs. XTDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMicrosoft 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.)Embeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score4.00
Rank#84  Overall
#11  Key-value stores
Score4.57
Rank#78  Overall
#43  Relational DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitewww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accessrocksdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.datomic.comdeveloper.microsoft.com/­en-us/­accessgithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­docs/­SAP_SQL_Anywherewww.xtdb.com/­docs
DeveloperCognitectMicrosoftFacebook, Inc.SAP infoformerly SybaseJuxt Ltd.
Initial release20121992201319922019
Current release1.0.6735, June 20231902 (16.0.11328.20222), March 20198.11.4, April 202417, July 20151.19, September 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoBundled with Microsoft OfficeOpen Source infoBSDcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C++Clojure
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes, extensible-data-notation format
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.nonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
C++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infosince Access 2010 using the ACE-enginenoyes, in C/C++, Java, .Net or Perlno
TriggersBy using transaction functionsyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonehorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyesSource-replica replication infoDatabase mirroringyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infobut no files for transaction loggingyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003nofine grained access rights according to SQL-standard

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More resources
DatomicMicrosoft AccessRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereXTDB infoformerly named Crux
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