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DBMS > GeoSpock vs. Microsoft Azure Synapse Analytics vs. OpenMLDB vs. Quasardb vs. TimescaleDB

System Properties Comparison GeoSpock vs. Microsoft Azure Synapse Analytics vs. OpenMLDB vs. Quasardb vs. TimescaleDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegeospock.comazure.microsoft.com/­services/­synapse-analyticsopenmldb.aiquasar.aiwww.timescale.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­masterdocs.timescale.com
DeveloperGeoSpockMicrosoft4 Paradigm Inc.quasardbTimescale
Initial release2016202020092017
Current release2.0, September 20192024-2 February 20243.14.1, January 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C++, Java, ScalaC++C
Server operating systemshostedhostedLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binarynumerics, 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.nonononoyes
Secondary indexestemporal, categoricalyesyesyes infowith tagsyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
SQLAlchemy
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
PHP
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoTransact SQLnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding, horizontal partitioninghorizontal partitioningSharding infoconsistent hashingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users can be defined per tableyesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
GeoSpockMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenMLDBQuasardbTimescaleDB
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