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DBMS > Apache Impala vs. IBM Db2 Event Store vs. Microsoft Azure AI Search vs. Microsoft Azure SQL Database

System Properties Comparison Apache Impala vs. IBM Db2 Event Store vs. Microsoft Azure AI Search vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDistributed Event Store optimized for Internet of Things use casesSearch-as-a-service for web and mobile app developmentDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Search engineRelational DBMS
Secondary database modelsDocument storeVector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score78.40
Rank#15  Overall
#10  Relational DBMS
Websiteimpala.apache.orgwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMMicrosoftMicrosoft
Initial release2013201720152010
Current release4.1.0, June 20222.0V1V12
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionhostedhosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
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
C#
Java
JavaScript
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoTransact SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationyes infoImplicit feature of the cloud serviceyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Apache ImpalaIBM Db2 Event StoreMicrosoft Azure AI SearchMicrosoft Azure SQL Database infoformerly SQL Azure
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