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DBMS > GreptimeDB vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. RethinkDB

System Properties Comparison GreptimeDB vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. RethinkDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyCloud-based data warehousing serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitegreptime.comwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­services/­synapse-analyticsrethinkdb.com
Technical documentationdocs.greptime.comdocs.microsoft.com/­azure/­synapse-analyticsrethinkdb.com/­docs
DeveloperGreptime Inc.IBMMicrosoftThe Linux Foundation infosince July 2017
Initial release2022201420162009
Current release2.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsgRPC
HTTP API
JDBC
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
PHP
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresPythonPL/SQL, SQL PLTransact SQL
TriggersyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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 controlSimple rights management via user accountsfine grained access rights according to SQL-standardyesyes infousers and table-level permissions
More information provided by the system vendor
GreptimeDBIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRethinkDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRethinkDB
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