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DBMS > InfluxDB vs. Microsoft Azure Data Explorer vs. Oracle Berkeley DB

System Properties Comparison InfluxDB vs. Microsoft Azure Data Explorer vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsFully managed big data interactive analytics platformWidely used in-process key-value store
Primary database modelTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.65
Rank#33  Overall
#1  Time Series DBMS
Score1.51
Rank#120  Overall
#62  Relational DBMS
Score2.73
Rank#88  Overall
#15  Key-value stores
#3  Native XML DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbazure.microsoft.com/­services/­data-explorerwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201320191994
Current release1.7.6, April 201918.1 (Core), June 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X infothrough Homebrew
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesno
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageKusto Query Language (KQL), SQL subsetyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoYes. Languages: KQL, Python, Rno
TriggersnoTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.yes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage enginenoyes
User concepts infoAccess controlsimple rights management via user accountsAzure Active Directory Authenticationno
More information provided by the system vendor
InfluxDBMicrosoft Azure Data ExplorerOracle Berkeley DB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» 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
InfluxDBMicrosoft Azure Data ExplorerOracle Berkeley DB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Advances Analytic Capabilities for InfluxDB Cloud
12 September 2019, Database Trends and Applications

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, DevOps.com

InfluxData launches new serverless time series cloud database platform, InfluxDB Cloud 2.0
12 September 2019, Packt Hub

provided by Google News

Azure Data Explorer for IoT Data Analytics | Internet of Things Show - Microsoft
2 September 2019, Channel 9

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

Azure Cosmos DB update for August 2019 | Azure Friday - Microsoft
30 August 2019, Channel 9

An overview of Azure Data Explorer (ADX) - Microsoft
7 February 2019, Channel 9

How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

provided by Google News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Under the Hood: Oracle Berkeley DB XML
7 May 2008, XML.com

Oracle's First Dozen Cloud Blockchain Applications Are Now Live
12 February 2019, CoinDesk

provided by Google News

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