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DBMS > 4D vs. Apache Impala vs. LeanXcale vs. Microsoft Azure AI Search

System Properties Comparison 4D vs. Apache Impala vs. LeanXcale vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Impala  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Search engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.4d.comimpala.apache.orgwww.leanxcale.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdeveloper.4d.comimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­search
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by ClouderaLeanXcaleMicrosoft
Initial release1984201320152015
Current releasev20, April 20234.1.0, June 2022V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsOS X
Windows
Linuxhosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyes infothrough Apache Derbyno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCC
Java
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factoryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infousing Azure authentication

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More resources
4D infoformer name: 4th DimensionApache ImpalaLeanXcaleMicrosoft Azure AI Search
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