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DBMS > Elasticsearch vs. SWC-DB vs. Tigris

System Properties Comparison Elasticsearch vs. SWC-DB vs. Tigris

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTigris  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 metricA high performance, scalable Wide Column DBMSA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelSearch engine
Vector DBMS
Wide column storeDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.08
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Score0.01
Rank#374  Overall
#13  Wide column stores
Score0.06
Rank#352  Overall
#50  Document stores
#53  Key-value stores
#23  Search engines
#35  Time Series DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tigrisdata.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.tigrisdata.com/­docs
DeveloperElasticAlex KashirinTigris Data, Inc.
Initial release201020202022
Current release8.6, January 20230.5, April 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocol
Thrift
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectorno
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 integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
User concepts infoAccess controlAccess rights for users and roles

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More resources
ElasticsearchSWC-DB infoSuper Wide Column DatabaseTigris
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Recent citations in the news

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10 April 2025, Business Wire

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