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DBMS > Elasticsearch vs. EXASOL vs. OrigoDB vs. Tigris

System Properties Comparison Elasticsearch vs. EXASOL vs. OrigoDB vs. Tigris

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonOrigoDB  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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fully ACID in-memory object graph databaseA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelSearch engineRelational DBMSDocument store
Object oriented DBMS
Document store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.exasol.comorigodb.comwww.tigrisdata.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourcesorigodb.com/­docswww.tigrisdata.com/­docs
DeveloperElasticExasolRobert Friberg et alTigris Data, Inc.
Initial release201020002009 infounder the name LiveDB2022
Current release8.6, January 2023
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
.NetGo
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyesuser defined functionsyesno
Triggersyes infoby using the 'percolation' featureyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes infoHadoop integrationno
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 integritynoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole based authorizationAccess rights for users and roles

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More resources
ElasticsearchEXASOLOrigoDBTigris
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