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DBMS > Amazon CloudSearch vs. InterSystems IRIS vs. Sphinx vs. Teradata vs. Weaviate

System Properties Comparison Amazon CloudSearch vs. InterSystems IRIS vs. Sphinx vs. Teradata vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Search engineRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.intersystems.com/­products/­intersystems-irissphinxsearch.comwww.teradata.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clssphinxsearch.com/­docsdocs.teradata.comweaviate.io/­developers/­weaviate
DeveloperAmazonInterSystemsSphinx Technologies Inc.TeradataWeaviate B.V.
Initial release20122018200119842019
Current release2023.3, June 20233.5.1, February 2023Teradata Vantage 1.0 MU2, January 20191.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeyesdepending on used data modelyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.yesyesno
Secondary indexesyes infoall search fields are automatically indexedyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)yes infoSQL 2016 + extensionsGraphQL is used as query language
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyesnofine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon CloudSearchInterSystems IRISSphinxTeradataWeaviate
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Amazon CloudSearchInterSystems IRISSphinxTeradataWeaviate
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