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DBMS > Microsoft Azure Data Explorer vs. Netezza vs. Redis vs. Snowflake

System Properties Comparison Microsoft Azure Data Explorer vs. Netezza vs. Redis vs. Snowflake

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRedis  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformData warehouse and analytics appliance part of IBM PureSystemsIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS infocolumn orientedRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational 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)
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 infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.53
Rank#84  Overall
#42  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score152.87
Rank#7  Overall
#1  Key-value stores
Score2.59
Rank#107  Overall
#53  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.ibm.com/­analytics/­netezzaredis.iowww.snowflake.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerredis.io/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperMicrosoftIBMSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsSnowflake Computing Inc.
Initial release2019200020092014
Current releasecloud service with continuous releases6.0.6, July 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC
Server operating systemshostedLinux infoincluded in applianceBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hosted
Data schemeFixed schema with schema-less datatypes (dynamic)yesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.yesnoyes
Secondary indexesall fields are automatically indexedyesyes infowith RediSearch module
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyesnoyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
OLE DB
proprietary protocol infoRESP - REdis Serialization ProtocolCLI Client
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, RyesLuauser defined functions
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAzure Active Directory AuthenticationUsers with fine-grained authorization conceptSimple password-based access control infoAccess control lists and SSL are available in the commercial versionUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Microsoft Azure Data ExplorerNetezza infoAlso called PureData System for Analytics by IBMRedisSnowflake
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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Microsoft Azure Data ExplorerNetezza infoAlso called PureData System for Analytics by IBMRedisSnowflake
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