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DBMS > Amazon Redshift vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. TDengine

System Properties Comparison Amazon Redshift vs. Hawkular Metrics vs. Microsoft Azure SQL Database vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Database as a Service offering with high compatibility to Microsoft SQL ServerTime Series DBMS and big data platform
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.hawkular.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­en-us/­azure/­azure-sqldocs.tdengine.com
DeveloperAmazon (based on PostgreSQL)Community supported by Red HatMicrosoftTDEngine, previously Taos Data
Initial release2012201420102019
Current releaseV123.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++C
Server operating systemshostedLinux
OS X
Windows
hostedLinux
Windows
Data schemeyesschema-freeyesyes
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.nonoyesno
Secondary indexesrestrictednoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyesStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
ODBC
HTTP RESTADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoTransact SQLno
Triggersnoyes infovia Hawkular Alertingyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardyes
More information provided by the system vendor
Amazon RedshiftHawkular MetricsMicrosoft Azure SQL Database infoformerly SQL AzureTDengine
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
Amazon RedshiftHawkular MetricsMicrosoft Azure SQL Database infoformerly SQL AzureTDengine
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