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DBMS > Microsoft Azure Table Storage vs. QuestDB vs. TDengine vs. Transbase

System Properties Comparison Microsoft Azure Table Storage vs. QuestDB vs. TDengine vs. Transbase

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonQuestDB  Xexclude from comparisonTDengine  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA high performance open source SQL database for time series dataTime Series DBMS and big data platformA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelWide column storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesquestdb.iogithub.com/­taosdata/­TDengine
tdengine.com
www.transaction.de/­en/­products/­transbase.html
Technical documentationquestdb.io/­docsdocs.tdengine.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftQuestDB Technology IncTDEngine, previously Taos DataTransaction Software GmbH
Initial release2012201420191987
Current release3.0, August 2022Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustCC and C++
Server operating systemshostedLinux
macOS
Windows
Linux
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyes
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.nononono
Secondary indexesnononoyes
SQL infoSupport of SQLnoSQL with time-series extensionsStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistencyyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID for single-table writesyes
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.noyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure Table StorageQuestDBTDengineTransbase
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Microsoft Azure Table StorageQuestDBTDengineTransbase
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