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DBMS > Apache Impala vs. Machbase Neo vs. Microsoft Azure AI Search vs. Prometheus

System Properties Comparison Apache Impala vs. Machbase Neo vs. Microsoft Azure AI Search vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopTimeSeries DBMS for AIoT and BigDataSearch-as-a-service for web and mobile app developmentOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.22
Rank#324  Overall
#29  Time Series DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Websiteimpala.apache.orgmachbase.comazure.microsoft.com/­en-us/­services/­searchprometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmlmachbase.com/­dbmslearn.microsoft.com/­en-us/­azure/­searchprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMachbaseMicrosoft
Initial release2013201320152015
Current release4.1.0, June 2022V8.0, August 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree test version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CGo
Server operating systemsLinuxLinux
macOS
Windows
hostedLinux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nononono infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
JavaScript
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factoryes infoImplicit feature of the cloud serviceyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tablenono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access controlyes infousing Azure authenticationno

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More resources
Apache ImpalaMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI SearchPrometheus
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