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DBMS > Coveo vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Ultipa

System Properties Comparison Coveo vs. Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Ultipa

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.coveo.comwww.datomic.comazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.ultipa.com
Technical documentationdocs.coveo.comdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturewww.ultipa.com/­document
DeveloperCoveoCognitectMicrosoftUltipa
Initial release20122012201620172019
Current release1.0.7075, December 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Java, Scala
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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 indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
Clojure
Java
C#
Java
PHP
Java
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsTransact SQLno
TriggersyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesyesnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlgranular access controls, API key management, content filtersnoyes

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More resources
CoveoDatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbUltipa
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