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DBMS > MarkLogic vs. Sphinx vs. Teradata Aster vs. Weaviate

System Properties Comparison MarkLogic vs. Sphinx vs. Teradata Aster vs. Weaviate

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWeaviate  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseOpen source search engine for searching in data from different sources, e.g. relational databasesPlatform for big data analytics on multistructured data sources and typesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.marklogic.comsphinxsearch.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.marklogic.comsphinxsearch.com/­docsweaviate.io/­developers/­weaviate
DeveloperMarkLogic Corp.Sphinx Technologies Inc.TeradataWeaviate B.V.
Initial release2001200120052019
Current release11.0, December 20223.5.1, February 20231.19, May 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Go
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-free infoSchema can be enforcedyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes 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.yesyes infoin Aster File Storeno
Secondary indexesyesyes infofull-text index on all search fieldsyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infoSQL92SQL-like query language (SphinxQL)yesGraphQL is used as query language
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoR packagesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yes, with Range Indexesnoyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnofine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MarkLogicSphinxTeradata AsterWeaviate
Specific characteristicsWeaviate 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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MarkLogicSphinxTeradata AsterWeaviate
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