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DBMS > Apache Impala vs. Microsoft SQL Server vs. RethinkDB vs. Yaacomo

System Properties Comparison Apache Impala vs. Microsoft SQL Server vs. RethinkDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRethinkDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopMicrosofts flagship relational DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websiteimpala.apache.orgwww.microsoft.com/­en-us/­sql-serverrethinkdb.comyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-US/­sql/­sql-serverrethinkdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftThe Linux Foundation infosince July 2017Q2WEB GmbH
Initial release2013198920092009
Current release4.1.0, June 2022SQL Server 2022, November 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
TriggersnoyesClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding inforange basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server EditionSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
Apache ImpalaMicrosoft SQL ServerRethinkDBYaacomo
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