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DBMS > EsgynDB vs. InfluxDB vs. Oracle Berkeley DB

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

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDBMS for storing time series, events and metricsWidely used in-process key-value store
Primary database modelRelational DBMSTime Series 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
Score0.16
Rank#265  Overall
#124  Relational DBMS
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score2.71
Rank#91  Overall
#15  Key-value stores
#3  Native XML DBMS
Websiteesgyn.comwww.influxdata.com/­time-series-platform/­influxdbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationesgyn.com/­developersdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperEsgynOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201520131994
Current release1.7.8, August 201918.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen 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 languageC++, JavaGoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric 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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.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 proceduresJava Stored Proceduresnono
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersselectable replication factor infoin enterprise version onlyMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes infoDepending on used storage engineyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
EsgynDBInfluxDBOracle Berkeley DB
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
InfluxData 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 modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
Open 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

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.

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More resources
EsgynDBInfluxDBOracle Berkeley DB
DB-Engines blog posts

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20 July 2017, Paul Dix (guest author)

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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

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google 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

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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