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DBMS > Apache Druid vs. EXASOL vs. Microsoft Azure AI Search vs. SQream DB

System Properties Comparison Apache Druid vs. EXASOL vs. Microsoft Azure AI Search vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEXASOL  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Search-as-a-service for web and mobile app developmenta GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitedruid.apache.orgwww.exasol.comazure.microsoft.com/­en-us/­services/­searchsqream.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.exasol.com/­resourceslearn.microsoft.com/­en-us/­azure/­searchdocs.sqream.com
DeveloperApache Software Foundation and contributorsExasolMicrosoftSQream Technologies
Initial release2012200020152017
Current release29.0.1, April 2024V12022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Unix
hostedLinux
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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 indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingyesnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
RESTful HTTP API.Net
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Lua
Python
R
C#
Java
JavaScript
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud servicehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles according to SQL-standardyes infousing Azure authentication

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More resources
Apache DruidEXASOLMicrosoft Azure AI SearchSQream DB
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