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DBMS > Coveo vs. Hive vs. Microsoft SQL Server vs. Warp 10

System Properties Comparison Coveo vs. Hive vs. Microsoft SQL Server vs. Warp 10

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentdata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosofts flagship relational DBMSTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.coveo.comhive.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.warp10.io
Technical documentationdocs.coveo.comcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-US/­sql/­sql-serverwww.warp10.io/­content/­02_Getting_started
DeveloperCoveoApache Software Foundation infoinitially developed by FacebookMicrosoftSenX
Initial release2012201219892015
Current release3.1.3, April 2022SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoApache License 2.0
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++Java
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
Java
JavaScript
Python
C++
Java
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoWarpScript
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes, but depending on the SQL-Server Editionselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 filtersAccess rights for users, groups and rolesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
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