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DBMS > ClickHouse vs. Datomic vs. Google Search Appliance vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB

System Properties Comparison ClickHouse vs. Datomic vs. Google Search Appliance vs. Microsoft Azure Data Explorer vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Fully managed big data interactive analytics platformA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS infocolumn orientedDocument 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)
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
Score4.24
Rank#73  Overall
#39  Relational DBMS
Score1.99
Rank#110  Overall
#53  Relational DBMS
Score2.70
Rank#95  Overall
#11  Search engines
Score2.61
Rank#98  Overall
#48  Relational DBMS
Score0.58
Rank#199  Overall
#30  Document stores
Websiteclickhouse.techwww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­data-explorerwww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationclickhouse.tech/­docsdocs.datomic.comsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­data-explorerwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperYandex LLCCognitectGoogleMicrosoftPercona
Initial release20162012200220192015
Current releasev19.13.3.26, August 20190.9.5951, July 2019cloud service with continuous releases3.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercialOpen Source infoGPL Version 2
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 languageJava, ClojureC++
Server operating systemsAll OS with a Java VMhostedLinux
Data schemeyesFixed schema with schema-less datatypes (dynamic)schema-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-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.nonoyesno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesClojure
Java
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyes infoTransaction FunctionsYes, possible languages: KQL, Python, RJavaScript
TriggersBy using transaction functionsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes infovia In-Memory Engine
User concepts infoAccess controlnoUser authentication via various security protocolsAzure Active Directory AuthenticationAccess rights for users and roles
More information provided by the system vendor
ClickHouseDatomicGoogle Search ApplianceMicrosoft Azure Data ExplorerPercona Server for MongoDB
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseDatomicGoogle Search ApplianceMicrosoft Azure Data ExplorerPercona Server for MongoDB
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