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DBMS > Apache Pinot vs. Microsoft Azure Synapse Analytics vs. TDengine vs. TigerGraph

System Properties Comparison Apache Pinot vs. Microsoft Azure Synapse Analytics vs. TDengine vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDengine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS and big data platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitepinot.apache.orgazure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
www.tigergraph.com
Technical documentationdocs.pinot.apache.orgdocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.comdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsMicrosoftTDEngine, previously Taos Data
Initial release2015201620192017
Current release1.0.0, September 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CC++
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageyesStandard SQL with extensions for time-series applicationsSQL-like query language (GSQL)
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresTransact SQLnoyes
Triggersnoyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesyesRole-based access control
More information provided by the system vendor
Apache PinotMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengineTigerGraph
Specific characteristicsTDengineā„¢ 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
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