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DBMS > InfluxDB vs. Oracle Berkeley DB vs. RocksDB

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

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used in-process key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score2.71
Rank#91  Overall
#15  Key-value stores
#3  Native XML DBMS
Score2.36
Rank#97  Overall
#17  Key-value stores
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlrocksdb.org
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleFacebook, Inc.
Initial release201319942013
Current release1.7.8, August 201918.1 (Core), June 20186.2.2, August 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoBSD
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)C++
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsnono
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 editionno
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsHTTP API
JSON over UDP
C++ API
Java API
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
C++
Java
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
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 engineyesyes
User concepts infoAccess controlsimple rights management via user accountsnono
More information provided by the system vendor
InfluxDBOracle Berkeley DBRocksDB
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

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22 October 2019

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21 October 2019

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

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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
InfluxDBOracle Berkeley DBRocksDB
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

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

An Introduction to InfluxDB
5 August 2019, The Collegian

provided by Google News

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23 October 2019, CryptoIQ

Top Local Databases for React Native App Development {A 2020 List}
15 October 2019, Appinventiv

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

provided by Google News

AMD EPYC vs. Intel Xeon Cascadelake With Facebook's RocksDB Database
17 October 2019, Phoronix

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

AMD Ryzen 7 3700X + Ryzen 9 3900X Offer Incredible Linux Performance But With A Big Caveat Review
7 July 2019, Phoronix

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13 September 2019, Phoronix

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