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DBMS > Datomic vs. Elasticsearch vs. Hive vs. MonetDB vs. RisingWave

System Properties Comparison Datomic vs. Elasticsearch vs. Hive vs. MonetDB vs. RisingWave

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonRisingWave  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 HadoopA relational database management system that stores data in columnsA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
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
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.datomic.comwww.elastic.co/­elasticsearchhive.apache.orgwww.monetdb.orgwww.risingwave.com/­database
Technical documentationdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentationdocs.risingwave.com/­docs/­current/­intro
DeveloperCognitectElasticApache Software Foundation infoinitially developed by FacebookMonetDB BVRisingWave Labs
Initial release20122010201220042022
Current release1.0.6735, June 20238.6, January 20233.1.3, April 2022Dec2023 (11.49), December 20231.2, September 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoElastic LicenseOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJavaCRust
Server operating systemsAll OS with a Java VMAll OS with a Java VMAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesStandard SQL-types and JSON
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infouser defined functions and integration of map-reduceyes, in SQL, C, RUDFs in Python or Java
TriggersBy using transaction functionsyes infoby using the 'percolation' featurenoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factornone 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 integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 integrationyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standardUsers and Roles

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More resources
DatomicElasticsearchHiveMonetDBRisingWave
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