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DBMS > Impala vs. Microsoft SQL Server vs. SQream DB vs. ToroDB

System Properties Comparison Impala vs. Microsoft SQL Server vs. SQream DB vs. ToroDB

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQream DB  Xexclude from comparisonToroDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMicrosofts flagship relational DBMSa GPU-based, columnar RDBMS for big data analytics workloadsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.55
Rank#40  Overall
#25  Relational DBMS
Score926.30
Rank#3  Overall
#3  Relational DBMS
Score0.60
Rank#227  Overall
#109  Relational DBMS
Score0.03
Rank#344  Overall
#45  Document stores
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­sql-serversqream.comwww.torodb.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­en-US/­sql/­sql-serverdocs.sqream.comwww.torodb.com/­stampede/­docs
DeveloperClouderaMicrosoftSQream Technologies8Kdata
Initial release2013198920142016
Current release4.0.0, July 2021SQL Server 2019, November 20192021.2, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinuxLinux
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes infostring, integer, double, boolean, date, object_id
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server EditionnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
ImpalaMicrosoft SQL ServerSQream DBToroDB
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
News

SQream and Hitachi Vantara Announce Partnership
8 September 2022

SQream and Hitachi Vantara Partner to Deliver Solutions for Enterprise-scale AI/ML and Big Data Applications
8 September 2022

Solving your massive data problem just got a little easier
8 September 2022

SQream and Hitachi Vantara Announce Partnership
8 September 2022

Hitachi Vantara says SQream if you want your data to go faster
8 September 2022

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
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SQL Complete: An advanced IntelliSense-style code completion add-in for SSMS and Visual Studio. Write, beautify, refactor your SQL code and give your productivity a dramatic boost.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ImpalaMicrosoft SQL ServerSQream DBToroDB
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