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DBMS > Coveo vs. Ignite vs. Microsoft Azure Synapse Analytics vs. Trafodion

System Properties Comparison Coveo vs. Ignite vs. Microsoft Azure Synapse Analytics vs. Trafodion

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 developmentApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.coveo.comignite.apache.orgazure.microsoft.com/­services/­synapse-analyticstrafodion.apache.org
Technical documentationdocs.coveo.comapacheignite.readme.io/­docsdocs.microsoft.com/­azure/­synapse-analyticstrafodion.apache.org/­documentation.html
DeveloperCoveoApache Software FoundationMicrosoftApache Software Foundation, originally developed by HP
Initial release2012201520162014
Current releaseApache Ignite 2.62.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen 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++, Java, .NetC++C++, Java
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Transact SQLJava Stored Procedures
Triggersyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
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.yesno
User concepts infoAccess controlgranular access controls, API key management, content filtersSecurity Hooks for custom implementationsyesfine grained access rights according to SQL-standard

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More resources
CoveoIgniteMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrafodion
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