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DBMS > Coveo vs. Manticore Search vs. SingleStore vs. SiriDB

System Properties Comparison Coveo vs. Manticore Search vs. SingleStore vs. SiriDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonManticore Search  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentMulti-storage database for search, including full-text search.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen Source Time Series DBMS
Primary database modelSearch engineSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.22
Rank#312  Overall
#21  Search engines
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.coveo.commanticoresearch.comwww.singlestore.comsiridb.com
Technical documentationdocs.coveo.commanual.manticoresearch.comdocs.singlestore.comdocs.siridb.com
DeveloperCoveoManticore SoftwareSingleStore Inc.Cesbit
Initial release2012201720132017
Current release6.0, February 20238.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial infofree developer edition availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++C++, GoC
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux info64 bit version requiredLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infoNumeric data
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut no triggers and foreign keysno
APIs and other access methodsRESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Supported programming languagesC#
Java
JavaScript
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersnoFine grained access control via users, groups and rolessimple rights management via user accounts
More information provided by the system vendor
CoveoManticore SearchSingleStore infoformer name was MemSQLSiriDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CoveoManticore SearchSingleStore infoformer name was MemSQLSiriDB
DB-Engines blog posts

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17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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