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DBMS > Amazon Redshift vs. Databricks vs. Memcached vs. Microsoft Azure SQL Database vs. Tkrzw

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

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonMemcached  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 toolsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.In-memory key-value store, originally intended for cachingDatabase 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
Relational DBMS
Key-value storeRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­redshiftwww.databricks.comwww.memcached.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasedbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAmazon (based on PostgreSQL)DatabricksDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftMikio Hirabayashi
Initial release20122013200320102020
Current release1.6.25, March 2024V120.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++C++
Server operating systemshostedhostedFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyesyesno
Secondary indexesrestrictedyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions and aggregatesnoTransact SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoRepcached, a Memcached patch, provides this functionallityyes, 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 ConsistencyImmediate ConsistencyImmediate 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 dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
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-standardyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon RedshiftDatabricksMemcachedMicrosoft Azure SQL Database infoformerly SQL AzureTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon RedshiftDatabricksMemcachedMicrosoft Azure SQL Database infoformerly SQL AzureTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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