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DBMS > Apache Impala vs. EXASOL vs. Google BigQuery vs. Microsoft SQL Server vs. Newts

System Properties Comparison Apache Impala vs. EXASOL vs. Google BigQuery vs. Microsoft SQL Server vs. Newts

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSTime Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteimpala.apache.orgwww.exasol.comcloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serveropennms.github.io/­newts
Technical documentationimpala.apache.org/­impala-docs.htmlwww.exasol.com/­resourcescloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaExasolGoogleMicrosoftOpenNMS Group
Initial release20132000201019892014
Current release4.1.0, June 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinuxhostedLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyesno
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
Java API
Supported programming languagesAll languages supporting JDBC/ODBCJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server Editionselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoSince BigQuery is designed for querying dataACIDno
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.noyesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Apache ImpalaEXASOLGoogle BigQueryMicrosoft SQL ServerNewts
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