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DBMS > Elasticsearch vs. Ingres vs. Microsoft Azure SQL Database vs. Sadas Engine vs. SpatiaLite

System Properties Comparison Elasticsearch vs. Ingres vs. Microsoft Azure SQL Database vs. Sadas Engine vs. SpatiaLite

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionA 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 metricWell established RDBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpatial extension of SQLite
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.elastic.co/­elasticsearchwww.actian.com/­databases/­ingresazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sadasengine.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.actian.com/­ingresdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperElasticActian CorporationMicrosoftSADAS s.r.l.Alessandro Furieri
Initial release20101974 infooriginally developed at University Berkely in early 1970s201020062008
Current release8.6, January 202311.2, May 2022V128.05.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercialcommercial infofree trial version availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++C++C++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedAIX
Linux
Windows
server-less
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableyesnono
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyesyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesyesTransact SQLnono
Triggersyes infoby using the 'percolation' featureyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatoryes, with always 3 replicas availablenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
ElasticsearchIngresMicrosoft Azure SQL Database infoformerly SQL AzureSadas EngineSpatiaLite
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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