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DBMS > Coveo vs. EsgynDB vs. Google Cloud Datastore vs. Microsoft Azure SQL Database vs. NuoDB

System Properties Comparison Coveo vs. EsgynDB vs. Google Cloud Datastore vs. Microsoft Azure SQL Database vs. NuoDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNuoDB  Xexclude from comparison
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 TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering with high compatibility to Microsoft SQL ServerNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelSearch engineRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score4.47
Rank#76  Overall
#12  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitewww.coveo.comwww.esgyn.cncloud.google.com/­datastoreazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.coveo.comcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldoc.nuodb.com
DeveloperCoveoEsgynGoogleMicrosoftDassault Systèmes infooriginally NuoDB, Inc.
Initial release20122015200820102013
Current releaseV12
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++C++
Server operating systemshostedLinuxhostedhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nononoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)yesyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App EngineTransact SQLJava, SQL
TriggersyesnoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication using Paxosyes, with always 3 replicas availableyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTemporary table
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users

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More resources
CoveoEsgynDBGoogle Cloud DatastoreMicrosoft Azure SQL Database infoformerly SQL AzureNuoDB
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