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DBMS > Coveo vs. Teradata vs. TerminusDB vs. Transwarp ArgoDB

System Properties Comparison Coveo vs. Teradata vs. TerminusDB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonTeradata  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA hybrid cloud data analytics software platform (Teradata Vantage)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelSearch engineRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.coveo.comwww.teradata.comterminusdb.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.coveo.comdocs.teradata.comterminusdb.github.io/­terminusdb/­#docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperCoveoTeradataDataChemist Ltd.Transwarp
Initial release201219842018
Current releaseTeradata Vantage 1.0 MU2, January 201911.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, Rust
Server operating systemshostedhosted
Linux
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.noyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsSQL-like query language (WOQL)yes
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoHashingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardRole-based access control

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More resources
CoveoTeradataTerminusDB infoformer name was DataChemistTranswarp ArgoDB
DB-Engines blog posts

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

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