DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InfluxDB vs. Oracle Berkeley DB vs. Warp 10

System Properties Comparison InfluxDB vs. Oracle Berkeley DB vs. Warp 10

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used in-process key-value storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.27
Rank#28  Overall
#1  Time Series DBMS
Score3.46
Rank#102  Overall
#18  Key-value stores
#3  Native XML DBMS
Score0.02
Rank#393  Overall
#41  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.warp10.io
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleSenX
Initial release201319942015
Current release2.7.1, April 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoApache License 2.0
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)Java
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsnoyes
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
HTTP API
Jupyter
WebSocket
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
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnonoyes infoWarpScript
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 accountsnoMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
InfluxDBOracle Berkeley DBWarp 10
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Time Series Is out of This World: Data in the Space Sector
18 September 2023

Introduction to Apache Arrow
15 September 2023

Can Companies Really Self-Host at Scale?
1 September 2023

12 Best Application Performance Monitoring (APM) Tools
28 August 2023

Tutorial: Modifying Grafana's Source Code
25 August 2023

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
InfluxDBOracle Berkeley DBWarp 10
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

show all

Recent citations in the news

Build a Home Internet Speed Test with Grafana and InfluxDB
19 September 2023, The New Stack

InfluxDB Clustered targets on-premises time-series database deployments
6 September 2023, InfoWorld

A Long Time Ago, on a Server Far, Far Away…
20 September 2023, The New Stack

CERN swaps out databases to feed its petabyte-a-day habit
18 September 2023, The Register

Time Series Databases Software Market (2023-2030): Emerging Technologies, Business Models, and Future Dev
18 September 2023, Benzinga

provided by Google News

Mageia 9 offers a fresh Linux alternative for Microsoft Windows 11 ...
27 August 2023, BetaNews

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Margo Seltzer Named ACM Athena Lecturer for Technical and ...
26 April 2023, HPCwire

Lowcountry NFL Update (Week 8)
1 November 2022, Live 5 News WCSC

Lowcountry NFL Update - Week 7
26 October 2022, Live 5 News WCSC

provided by Google News

Time Series Databases Software Market (2023-2030): Emerging Technologies, Business Models, and Future Dev
18 September 2023, Benzinga

Time Series Databases Software Market 2023 Size, Share | Forecast to 2030
13 September 2023, Benzinga

Time Series Databases Software Market Size 2023 | Data-Driven Insights with Adapting to Rapid Changes by
9 September 2023, Benzinga

Time Series Databases Software market latest trends, CAGR, and forecast till 2026 | eSherpa Market Reports
13 April 2020, openPR

Time Series Intelligence Software Market Unlocking Emerging ...
19 September 2023, Rouge Fox

provided by Google News

Job opportunities

Sr. Performance Engineer
KK Technologies, Remote

.NET Developer
Skillspark AB, Remote

Senior Database Administrator (Europe, part-time)
PEX, Remote

Support Engineer 5
Blueprint Technologies, Remote

Performance Test Engineer (Remote)
Macro Solutions, Remote

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Redis logo

The world’s most loved real‑time data platform.
Try free

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here