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DBMS > Apache Druid vs. Microsoft Azure Data Explorer vs. MySQL vs. SWC-DB vs. TempoIQ

System Properties Comparison Apache Druid vs. Microsoft Azure Data Explorer vs. MySQL vs. SWC-DB vs. TempoIQ

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMySQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFully managed big data interactive analytics platformWidely used open source RDBMSA high performance, scalable Wide Column DBMSScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infocolumn orientedRelational DBMS infoKey/Value like access via memcached APIWide column storeTime Series DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitedruid.apache.orgazure.microsoft.com/­services/­data-explorerwww.mysql.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
tempoiq.com (offline)
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
DeveloperApache Software Foundation and contributorsMicrosoftOracle infosince 2010, originally MySQL AB, then SunAlex KashirinTempoIQ
Initial release20122019199520202012
Current release29.0.1, April 2024cloud service with continuous releases8.4.0, April 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedFixed schema with schema-less datatypes (dynamic)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.noyesyesnono
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingKusto Query Language (KQL), SQL subsetyes infowith proprietary extensionsSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Proprietary protocol
Thrift
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Ryes infoproprietary syntaxnono
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAzure Active Directory AuthenticationUsers with fine-grained authorization concept infono user groups or rolessimple authentication-based access control

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More resources
Apache DruidMicrosoft Azure Data ExplorerMySQLSWC-DB infoSuper Wide Column DatabaseTempoIQ infoformerly TempoDB
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