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DBMS > Apache Impala vs. Linter vs. Microsoft Azure AI Search vs. Transwarp StellarDB

System Properties Comparison Apache Impala vs. Linter vs. Microsoft Azure AI Search vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRDBMS for high security requirementsSearch-as-a-service for web and mobile app developmentA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsDocument storeSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteimpala.apache.orglinter.ruazure.microsoft.com/­en-us/­services/­searchwww.transwarp.cn/­en/­product/­stellardb
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infoApache top-level project, originally developed by Clouderarelex.ruMicrosoftTranswarp
Initial release201319902015
Current release4.1.0, June 2022V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIOpenCypher
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nono
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 authenticationyes

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More resources
Apache ImpalaLinterMicrosoft Azure AI SearchTranswarp StellarDB
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