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DBMS > Graph Engine vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. TDengine

System Properties Comparison Graph Engine vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Spark SQL vs. TDengine

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platform
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational 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
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.graphengine.iowww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticsspark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperMicrosoftActian CorporationMicrosoftApache Software FoundationTDEngine, previously Taos Data
Initial release20101974 infooriginally developed at University Berkely in early 1970s201620142019
Current release11.2, May 20223.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CCC++ScalaC
Server operating systems.NETAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
OS X
Windows
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesyesSQL-like DML and DDL statementsStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C#
Java
PHP
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyesTransact SQLnono
Triggersnoyesnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoryesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoyes
More information provided by the system vendor
Graph Engine infoformer name: TrinityIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQLTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Graph Engine infoformer name: TrinityIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQLTDengine
Recent citations in the news

Trinity
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