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DBMS > InfluxDB vs. OmniSci vs. Oracle Berkeley DB

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

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsWidely 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
Score1.80
Rank#109  Overall
#54  Relational DBMS
Score2.73
Rank#88  Overall
#15  Key-value stores
#3  Native XML DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.omnisci.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationdocs.influxdata.com/­influxdbwww.omnisci.com/­docs/­latestdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperMapD Technologies, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201320161994
Current release1.7.6, April 2019V418.1 (Core), June 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2; enterprise edition 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 languageGoC++ and CUDAC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X infothrough Homebrew
LinuxAIX
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languageyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP API
JSON over UDP
Thrift
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.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 proceduresnonono
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-master replicationMaster-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 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 engineyesyes
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
InfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Oracle 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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More resources
InfluxDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Oracle Berkeley DB
DB-Engines blog posts

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

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

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

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

provided by Google News

GPU Database Market Growth, Key Futuristic Trends And Competitive Landscape 2019-2025- Omnisci, Kinetica, Sqream
16 September 2019, Market Segment

GPU Database Market 2019 explosive growth with technical aspects by major players BlazingDB, Anaconda, OmniSci, Blazegraph, Fuzzy Logix, NVIDIA, Zilliz, Brytlyt, HeteroDB, SQream
12 September 2019, Tribune City

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Greatest Progress in GPU Database Market to Access Global Industry Players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
3 September 2019, Market Research Report

GPU Database Market Estimated to Rising at a Lucrative CAGR of +20% between 2019 and 2028 with Leading Vendors: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 August 2019, Technology News

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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