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DBMS > GridGain vs. Microsoft Azure Synapse Analytics vs. TDengine vs. Warp 10

System Properties Comparison GridGain vs. Microsoft Azure Synapse Analytics vs. TDengine vs. Warp 10

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDengine  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS and big data platformTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­taosdata/­TDengine
tdengine.com
www.warp10.io
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.tdengine.comwww.warp10.io/­content/­02_Getting_started
DeveloperGridGain Systems, Inc.MicrosoftTDEngine, previously Taos DataSenX
Initial release2007201620192015
Current releaseGridGain 8.5.13.0, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3, also commercial editions availableOpen Source infoApache License 2.0
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 languageJava, C++, .NetC++CJava
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
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.yesnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLnoyes infoWarpScript
Triggersyes (cache interceptors and events)noyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono 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 dataACIDACIDno
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.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyesyesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
GridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDengineWarp 10
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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