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DBMS > Kinetica vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. TDSQL for MySQL vs. TerminusDB

System Properties Comparison Kinetica vs. Microsoft Azure Synapse Analytics vs. OrigoDB vs. TDSQL for MySQL vs. TerminusDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrigoDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA fully ACID in-memory object graph databaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­synapse-analyticsorigodb.comwww.tencentcloud.com/­products/­dcdbterminusdb.com
Technical documentationdocs.kinetica.comdocs.microsoft.com/­azure/­synapse-analyticsorigodb.com/­docswww.tencentcloud.com/­document/­product/­1042terminusdb.github.io/­terminusdb/­#
DeveloperKineticaMicrosoftRobert Friberg et alTencentDataChemist Ltd.
Initial release201220162009 infounder the name LiveDB20132018
Current release7.1, August 202111.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C#Prolog, Rust
Server operating systemsLinuxhostedLinux
Windows
hostedLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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.nonono infocan be achieved using .NETnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.NetC
C#
C++
Java
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyesyesyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelyesRole based authorizationUsers with fine-grained authorization conceptRole-based access control

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More resources
KineticaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrigoDBTDSQL for MySQLTerminusDB infoformer name was DataChemist
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