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DBMS > Amazon Redshift vs. Elasticsearch vs. FatDB

System Properties Comparison Amazon Redshift vs. Elasticsearch vs. FatDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA 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.
Primary database modelRelational DBMSSearch engine
Vector DBMS
Document store
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score128.08
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Websiteaws.amazon.com/­redshiftwww.elastic.co/­elasticsearch
Technical documentationdocs.aws.amazon.com/­redshiftwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazon (based on PostgreSQL)ElasticFatCloud
Initial release201220102012
Current release8.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC#
Server operating systemshostedAll OS with a Java VMWindows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesrestrictedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like query languageno infoVia inetgration in SQL Server
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesyes infovia applications
Triggersnoyes infoby using the 'percolation' featureyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applications

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More resources
Amazon RedshiftElasticsearchFatDB
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