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DBMS > Apache Impala vs. IBM Db2 Event Store vs. Microsoft Azure SQL Database vs. Microsoft SQL Server vs. TerarkDB

System Properties Comparison Apache Impala vs. IBM Db2 Event Store vs. Microsoft Azure SQL Database vs. Microsoft SQL Server vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed Event Store optimized for Internet of Things use casesDatabase as a Service offering with high compatibility to Microsoft SQL ServerMicrosofts flagship relational DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteimpala.apache.orgwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.microsoft.com/­en-us/­sql-servergithub.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­azure-sqllearn.microsoft.com/­en-US/­sql/­sql-serverbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMMicrosoftMicrosoftByteDance, originally Terark
Initial release20132017201019892016
Current release4.1.0, June 20222.0V12SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availablecommercialcommercial inforestricted free version is availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++C++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionhostedLinux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeyesyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationyes, with always 3 replicas availableyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaIBM Db2 Event StoreMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft SQL ServerTerarkDB
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