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DBMS > Amazon Redshift vs. Apache Impala vs. Drizzle vs. Microsoft SQL Server vs. OrigoDB

System Properties Comparison Amazon Redshift vs. Apache Impala vs. Drizzle vs. Microsoft SQL Server vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOrigoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Microsofts flagship relational DBMSA fully ACID in-memory object graph database
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeDocument 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
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­redshiftimpala.apache.orgwww.microsoft.com/­en-us/­sql-serverorigodb.com
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-US/­sql/­sql-serverorigodb.com/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerMicrosoftRobert Friberg et al
Initial release20122013200819892009 infounder the name LiveDB
Current release4.1.0, June 20227.2.4, September 2012SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLcommercial inforestricted free version is availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++C++C#
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Linux
Windows
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsyes infowith proprietary extensionsyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCC
C++
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnonono infohooks for callbacks inside the server can be used.yesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole based authorization

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More resources
Amazon RedshiftApache ImpalaDrizzleMicrosoft SQL ServerOrigoDB
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