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DBMS > Amazon Redshift vs. Apache Impala vs. GridGain vs. Microsoft SQL Server

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopGridGain is an in-memory computing platform, built on Apache IgniteMicrosofts flagship relational DBMS
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websiteaws.amazon.com/­redshiftimpala.apache.orgwww.gridgain.comwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmlwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaGridGain Systems, Inc.Microsoft
Initial release2012201320071989
Current release4.1.0, June 2022GridGain 8.5.1SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageCC++Java, C++, .NetC++
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBCC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes (replicated cache)yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftApache ImpalaGridGainMicrosoft SQL Server
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