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DBMS > InfluxDB vs. LeanXcale vs. Oracle Berkeley DB

System Properties Comparison InfluxDB vs. LeanXcale vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsFull ACID, highly scalable DBMS for OLTP and OLAP applications with transactions on distributed dataWidely used in-process key-value store
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Key-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
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.18
Rank#260  Overall
#43  Key-value stores
#123  Relational DBMS
Score2.71
Rank#91  Overall
#15  Key-value stores
#3  Native XML DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.leanxcale.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperLeanXcaleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201320151994
Current release1.7.8, August 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 servicenonono
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
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache Derbyyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP API
JSON over UDP
proprietary key/value interface
JDBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.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 proceduresnono
Triggersnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 accountsno
More information provided by the system vendor
InfluxDBLeanXcaleOracle Berkeley DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» 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 has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Why I Joined InfluxData
17 October 2019

Starting at InfluxDB – New Job, New Commute
15 October 2019

A Move to the Cloud and Other Highlights from InfluxData’s Third Quarter
14 October 2019

InfluxDB 2.0 Documentation is Now Open Source
14 October 2019

Using InfluxDB Cloud to Monitor GitHub Repos
11 October 2019

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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
InfluxDBLeanXcaleOracle 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

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

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

An Introduction to InfluxDB
5 August 2019, The Collegian

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

provided by Google News

Hunting For Disruption At Collision Conference
29 April 2016, Forbes

Tailored IoT & BigData Sandboxes and Testbeds for Smart, Autonomous and Personalized Services in the European Finance and Insurance Services Ecosystem | INFINITECH Project | H2020
16 September 2019, ICT Results

Big Data in the Insurance Industry - Outlook to 2030: CAGR of 14% is Expected Over the Next 3 Years
7 August 2018, PR Newswire

Big Data in the Financial Services Industry Report 2018-2030 - $9 Billion Opportunities, Challenges, Strategies & Forecasts
3 October 2018, GlobeNewswire

Big Data Investments in the Healthcare & Pharmaceutical Industry Will Account for Nearly $4.7 Billion in 2018 Alone
30 July 2018, PR Newswire

provided by Google News

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

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

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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