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DBMS > Elasticsearch vs. FatDB vs. Graph Engine vs. TimescaleDB vs. YottaDB

System Properties Comparison Elasticsearch vs. FatDB vs. Graph Engine vs. TimescaleDB vs. YottaDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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 .NET NoSQL DBMS that can integrate with and extend SQL Server.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelSearch engineDocument store
Key-value store
Graph DBMS
Key-value store
Time Series DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score128.79
Rank#8  Overall
#1  Search engines
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.graphengine.iowww.timescale.comyottadb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualdocs.timescale.comyottadb.com/­resources/­documentation
DeveloperElasticFatCloudMicrosoftTimescaleYottaDB, LLC
Initial release20102012201020172001
Current release8.6, January 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#.NET and CCC
Server operating systemsAll OS with a Java VMWindows.NETLinux
OS X
Windows
Docker
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nonoyesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL Servernoyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesyes infovia applicationsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoby using the 'percolation' featureyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnono
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, allEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesnoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
ElasticsearchFatDBGraph Engine infoformer name: TrinityTimescaleDBYottaDB
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Recent citations in the news

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Trinity
30 October 2010, Microsoft

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27 July 2016, GeekWire

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How Google and Microsoft taught search to "understand" the Web
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8 May 2024, azure.microsoft.com

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4 April 2024, PR Newswire

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