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DBMS > Cachelot.io vs. InfluxDB vs. Microsoft Azure Data Explorer

System Properties Comparison Cachelot.io vs. InfluxDB vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionIn-memory caching systemDBMS for storing time series, events and metricsFully managed big data interactive analytics platform
Primary database modelKey-value storeTime Series DBMSRelational DBMS infocolumn oriented
Secondary database modelsSpatial DBMS infowith GEO packageDocument 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
Score0.00
Rank#360  Overall
#58  Key-value stores
Score28.38
Rank#29  Overall
#1  Time Series DBMS
Score6.41
Rank#63  Overall
#35  Relational DBMS
Websitecachelot.iowww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperMicrosoft
Initial release201520132019
Current release2.0.8, August 2021cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X infothrough Homebrew
hosted
Data schemeschema-freeschema-freeFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or datenoNumeric data and Stringsyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nonoyes
Secondary indexesnonoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageKusto Query Language (KQL), SQL subset
APIs and other access methodsMemcached protocolHTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnonoYes, possible languages: KQL, Python, R
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineno
User concepts infoAccess controlnosimple rights management via user accountsAzure Active Directory Authentication
More information provided by the system vendor
Cachelot.ioInfluxDBMicrosoft Azure Data Explorer
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Kusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

The NVIDIA Jetson Series – Part 2 (Vision AI Pipeline)
30 November 2021

Introduction to Time Series Forecasting with Tensorflow and InfluxDB
24 November 2021

Getting Started with Go and InfluxDB
19 November 2021

Notebook Sharing
18 November 2021

Release Announcement: Telegraf 1.20.4
18 November 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Cachelot.ioInfluxDBMicrosoft Azure Data Explorer
DB-Engines blog posts

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Recent citations in the news

Scaling telemetry monitoring with InfluxDB
30 November 2021, InfoWorld

InfluxData Brings Time Series Expertise to AWS re:Invent 2021
17 November 2021, Business Wire

InfluxData makes time series dev-friendly
1 November 2021, ZDNet

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxData Closes 2020 with Exponential Cloud Growth, Expanding User Base, and Big New Customers
14 January 2021, Yahoo Finance

provided by Google News

At Ignite, Microsoft enhances its cloud database, warehouse and lake services
2 November 2021, ZDNet

Seeq Announces Expanded Microsoft Azure Machine Learning Support
4 November 2021, PRNewswire

Get Started with Accessing Azure Data Explorer using Apache Spark for Azure Synapse Analytics - Microsoft
8 April 2021, Channel 9

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

Microsoft Azure Data Lake Storage Is Now Generally Available
20 February 2019, eWeek

provided by Google News

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