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DBMS > Drizzle vs. Elasticsearch vs. GeoSpock vs. PostgreSQL

System Properties Comparison Drizzle vs. Elasticsearch vs. GeoSpock vs. PostgreSQL

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeoSpock  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A 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 metricSpatial and temporal data processing engine for extreme data scaleWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.elastic.co/­elasticsearchgeospock.comwww.postgresql.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.org/­docs
DeveloperDrizzle project, originally started by Brian AkerElasticGeoSpockPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release200820101989 info1989: Postgres, 1996: PostgreSQL
Current release7.2.4, September 20128.6, January 20232.0, September 201916.3, May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoElastic LicensecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, JavascriptC
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infoAll search fields are automatically indexedtemporal, categoricalyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languageANSI SQL for query only (using Presto)yes infostandard with numerous extensions
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
PHP
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersno infohooks for callbacks inside the server can be used.yes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
DrizzleElasticsearchGeoSpockPostgreSQL
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