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DBMS > Coveo vs. EsgynDB vs. Microsoft Azure Table Storage vs. Trafodion

System Properties Comparison Coveo vs. EsgynDB vs. Microsoft Azure Table Storage vs. Trafodion

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA Wide Column Store for rapid development using massive semi-structured datasetsTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.coveo.comwww.esgyn.cnazure.microsoft.com/­en-us/­services/­storage/­tablestrafodion.apache.org
Technical documentationdocs.coveo.comtrafodion.apache.org/­documentation.html
DeveloperCoveoEsgynMicrosoftApache Software Foundation, originally developed by HP
Initial release2012201520122014
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++, Java
Server operating systemshostedLinuxhostedLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
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 datayesACIDoptimistic lockingACID
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.nonono
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
CoveoEsgynDBMicrosoft Azure Table StorageTrafodion
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