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DBMS > Datomic vs. Elasticsearch vs. Hive vs. Microsoft Access vs. MonetDB

System Properties Comparison Datomic vs. Elasticsearch vs. Hive vs. Microsoft Access vs. MonetDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricdata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft 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.)A relational database management system that stores data in columns
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.datomic.comwww.elastic.co/­elasticsearchhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.monetdb.org
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accesswww.monetdb.org/­Documentation
DeveloperCognitectElasticApache Software Foundation infoinitially developed by FacebookMicrosoftMonetDB BV
Initial release20122010201219922004
Current release1.0.6735, June 20238.6, January 20233.1.3, April 20221902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoElastic LicenseOpen Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoMozilla Public License 2.0
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 languageJava, ClojureJavaJavaC++C
Server operating systemsAll OS with a Java VMAll OS with a Java VMAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyes infoSQL 2003 with some extensions
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineyes, in SQL, C, R
TriggersBy using transaction functionsyes infoby using the 'percolation' featurenoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factornonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infobut no files for transaction loggingACID
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)yesyesyes 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.yes inforecommended only for testing and developmentMemcached and Redis integration
User concepts infoAccess controlnoAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
DatomicElasticsearchHiveMicrosoft AccessMonetDB
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