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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonManticore Search  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 casesMulti-storage database for search, including full-text search.Search-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 engineSearch engineRelational DBMS
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar LibraryVector DBMSDocument 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteimpala.apache.orgwww.ibm.com/­products/­db2-event-storemanticoresearch.comazure.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-storemanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMManticore SoftwareMicrosoftMicrosoft
Initial release20132017201720152010
Current release4.1.0, June 20222.06.0, February 2023V1V12
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C++
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
macOS
Windows
hostedhosted
Data schemeyesyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.nonoCan index from XMLnoyes
Secondary indexesyesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
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-reduceyesuser defined functionsnoTransact SQL
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceyes, with always 3 replicas available
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 integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
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 storageyes infoThe original contents of fields are not stored in the Manticore index.yesyes
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-standardnoyes infousing Azure authenticationfine grained access rights according to SQL-standard

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