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DBMS > Coveo vs. IBM Db2 warehouse vs. SpaceTime vs. Teradata

System Properties Comparison Coveo vs. IBM Db2 warehouse vs. SpaceTime vs. Teradata

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCloud-based data warehousing serviceSpaceTime is a spatio-temporal DBMS with a focus on performance.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelSearch engineRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.coveo.comwww.ibm.com/­products/­db2/­warehousewww.mireo.com/­spacetimewww.teradata.com
Technical documentationdocs.coveo.comdocs.teradata.com
DeveloperCoveoIBMMireoTeradata
Initial release2012201420201984
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedLinuxhosted
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nono infoImport/export of XML data possiblenoyes
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implementedyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
Java
JavaScript
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingFixed-grid hypercubesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
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.yesnoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
CoveoIBM Db2 warehouse infoformerly named IBM dashDBSpaceTimeTeradata
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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