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DBMS > Apache Druid vs. Infobright vs. InterSystems Caché vs. Microsoft Azure Data Explorer vs. SAP IQ

System Properties Comparison Apache Druid vs. Infobright vs. InterSystems Caché vs. Microsoft Azure Data Explorer vs. SAP IQ

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonInfobright  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA multi-model DBMS and application serverFully managed big data interactive analytics platformColumnar RDBMS optimized for Big Data analytics
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS infocolumn-oriented
Secondary database modelsDocument storeDocument 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
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
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score2.64
Rank#108  Overall
#52  Relational DBMS
Websitedruid.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­data-explorerwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.html
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.intersystems.comdocs.microsoft.com/­en-us/­azure/­data-explorerhelp.sap.com/­docs/­SAP_IQ
DeveloperApache Software Foundation and contributorsIgnite Technologies Inc.; formerly InfoBright Inc.InterSystemsMicrosoftSAP, formerly Sybase
Initial release20122005199720191994
Current release29.0.1, April 20242018.1.4, May 2020cloud service with continuous releases16.1 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Unix
Linux
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesdepending on used data modelFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 indexesyesno infoKnowledge Grid Technology used insteadyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingyesyesKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesYes, possible languages: KQL, Python, Ryes
Triggersnonoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneSharding infoImplicit feature of the cloud serviceshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.SAP/Sybase Replication Server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesnono
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-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights for users, groups and rolesAzure Active Directory Authenticationfine grained access rights according to SQL-standard

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More resources
Apache DruidInfobrightInterSystems CachéMicrosoft Azure Data ExplorerSAP IQ infoformer name: Sybase IQ
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