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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQream DB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentMicrosofts 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 DBMSSearch engineRelational 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
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score2.45
Rank#122  Overall
#11  Search engines
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websiteimpala.apache.orgwww.coveo.comwww.microsoft.com/­en-us/­sql-serversqream.comgithub.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmldocs.coveo.comlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveoMicrosoftSQream Technologies8Kdata
Initial release20132012198920172016
Current release4.1.0, June 2022SQL Server 2022, November 20222022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial inforestricted free version is availablecommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinuxhostedLinux
Windows
LinuxAll OS with a Java 7 VM
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, 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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
Python
C#
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-reducenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions in Python
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyestables 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 factoryesyes, but depending on the SQL-Server EditionnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 Kerberosgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Apache ImpalaCoveoMicrosoft SQL ServerSQream DBToroDB
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