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DBMS > Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. PostgreSQL vs. STSdb vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. Microsoft Azure Synapse Analytics vs. PostgreSQL vs. STSdb vs. TimescaleDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.hawkular.orgazure.microsoft.com/­services/­synapse-analyticswww.postgresql.orggithub.com/­STSSoft/­STSdb4www.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.microsoft.com/­azure/­synapse-analyticswww.postgresql.org/­docsdocs.timescale.com
DeveloperCommunity supported by Red HatMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSTS Soft SCTimescale
Initial release201420161989 info1989: Postgres, 1996: PostgreSQL20112017
Current release16.3, May 20244.0.8, September 20152.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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Implementation languageJavaC++CC#C
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
WindowsLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesyes infostandard with numerous extensionsnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
C#
Java
PHP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoTransact SQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication infoother methods possible by using 3rd party extensionsnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Hawkular MetricsMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostgreSQLSTSdbTimescaleDB
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