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DBMS > Apache Druid vs. Cubrid vs. Microsoft Azure Data Explorer vs. MySQL vs. SwayDB

System Properties Comparison Apache Druid vs. Cubrid vs. Microsoft Azure Data Explorer vs. MySQL vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMySQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPFully managed big data interactive analytics platformWidely used open source RDBMSAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS infocolumn orientedRelational DBMS infoKey/Value like access via memcached APIKey-value store
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
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
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitedruid.apache.orgcubrid.com (korean)
cubrid.org (english)
azure.microsoft.com/­services/­data-explorerwww.mysql.comswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designcubrid.org/­manualsdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationMicrosoftOracle infosince 2010, originally MySQL AB, then SunSimer Plaha
Initial release20122008201919952018
Current release29.0.1, April 202411.0, January 2021cloud service with continuous releases8.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaC and C++Scala
Server operating systemsLinux
OS X
Unix
Linux
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesFixed schema with schema-less datatypes (dynamic)yesschema-free
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesno
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.nonoyesyesno
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLSQL for queryingyesKusto Query Language (KQL), SQL subsetyes infowith proprietary extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresYes, possible languages: KQL, Python, Ryes infoproprietary syntaxno
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infonot for MyISAM storage engineAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.nononoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAzure Active Directory AuthenticationUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
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