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DBMS > Microsoft Azure Synapse Analytics vs. Sequoiadb vs. TigerGraph vs. Tkrzw

System Properties Comparison Microsoft Azure Synapse Analytics vs. Sequoiadb vs. TigerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSequoiadb  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerNewSQL database with distributed OLTP and SQLA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteazure.microsoft.com/­services/­synapse-analyticswww.sequoiadb.comwww.tigergraph.comdbmx.net/­tkrzw
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.tigergraph.com
DeveloperMicrosoftSequoiadb Ltd.Mikio Hirabayashi
Initial release2016201320172020
Current release0.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C++
Server operating systemshostedLinuxLinuxLinux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyesno
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 indexesyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language (GSQL)no
APIs and other access methodsADO.NET
JDBC
ODBC
proprietary protocol using JSONGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Java
PHP
.Net
C++
Java
PHP
Python
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLJavaScriptyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionACID
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.nonoyes infousing specific database classes
User concepts infoAccess controlyessimple password-based access controlRole-based access controlno

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSequoiadbTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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