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DBMS > Couchbase vs. Microsoft Azure Data Explorer vs. Snowflake vs. Sphinx

System Properties Comparison Couchbase vs. Microsoft Azure Data Explorer vs. Snowflake vs. Sphinx

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Editorial information provided by DB-Engines
NameCouchbase infoOriginally called Membase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSnowflake  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseFully managed big data interactive analytics platformCloud-based data warehousing service for structured and semi-structured dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMS infocolumn orientedRelational DBMSSearch engine
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document 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
Score17.30
Rank#36  Overall
#5  Document stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.couchbase.comazure.microsoft.com/­services/­data-explorerwww.snowflake.comsphinxsearch.com
Technical documentationdocs.couchbase.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.snowflake.net/­manuals/­index.htmlsphinxsearch.com/­docs
DeveloperCouchbase, Inc.MicrosoftSnowflake Computing Inc.Sphinx Technologies Inc.
Initial release2011201920142001
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 2023cloud service with continuous releases3.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, Go and ErlangC++
Server operating systemsLinux
OS X
Windows
hostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)yes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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-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.yesyes
Secondary indexesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesKusto Query Language (KQL), SQL subsetyesSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
CLI Client
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++Yes, possible languages: KQL, Python, Ruser defined functionsno
Triggersyes infovia the TAP protocolyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic ShardingSharding infoImplicit feature of the cloud serviceyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoincluding cross data center replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoEphemeral bucketsnono
User concepts infoAccess controlUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Azure Active Directory AuthenticationUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Couchbase infoOriginally called MembaseMicrosoft Azure Data ExplorerSnowflakeSphinx
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