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DBMS > Graph Engine vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Sequoiadb vs. Teradata Aster

System Properties Comparison Graph Engine vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Sequoiadb vs. Teradata Aster

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.NewSQL database with distributed OLTP and SQLPlatform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMS
Key-value store
Relational DBMSDocument storeDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.sequoiadb.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdocs.percona.com/­percona-distribution-for-mongodbwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMicrosoftMicrosoftPerconaSequoiadb Ltd.Teradata
Initial release20102016201520132005
Current release3.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoGPL Version 2Open Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++C++C++
Server operating systems.NEThostedLinuxLinuxLinux
Data schemeyesyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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.nonononoyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
proprietary protocol using JSONproprietary protocol using JSONADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
F#
Visual Basic
C#
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C++
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesTransact SQLJavaScriptJavaScriptR packages
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Enginenono
User concepts infoAccess controlyesAccess rights for users and rolessimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePercona Server for MongoDBSequoiadbTeradata Aster
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