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DBMS > Amazon Redshift vs. CrateDB vs. Microsoft Azure SQL Database vs. Tkrzw

System Properties Comparison Amazon Redshift vs. CrateDB vs. Microsoft Azure SQL Database vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCrateDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDistributed Database based on LuceneDatabase as a Service offering with high compatibility to Microsoft SQL ServerA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websiteaws.amazon.com/­redshiftcratedb.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasedbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­redshiftcratedb.com/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAmazon (based on PostgreSQL)CrateMicrosoftMikio Hirabayashi
Initial release2012201320102020
Current releaseV120.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoApache Version 2.0
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageCJavaC++C++
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedLinux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes, but no triggers and constraints, and PostgreSQL compatibilityyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions (Javascript)Transact SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelyes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
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.yesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon RedshiftCrateDBMicrosoft Azure SQL Database infoformerly SQL AzureTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
Amazon RedshiftCrateDBMicrosoft Azure SQL Database infoformerly SQL AzureTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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