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DBMS > InfluxDB vs. Oracle Berkeley DB vs. TiDB

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

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used in-process key-value storeTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument 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
Score1.47
Rank#126  Overall
#64  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlpingcap.com
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpingcap.com/­docs
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OraclePingCAP, Inc.
Initial release201319942016
Current release1.7.8, August 201918.1 (Core), June 20183.0.0, June 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoApache 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)Go, Rust
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeschema-freeyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsHTTP API
JSON over UDP
Proprietary protocol
JDBC
ODBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-slave replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono infocurrently only supported in syntax
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 engineyesno
User concepts infoAccess controlsimple rights management via user accountsnoUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
InfluxDBOracle Berkeley DBTiDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TiDB is an open source distributed scalable hybrid transactional and analytical processing...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
In the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Bank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
InfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

Using InfluxDB to Predict The Next Extinction Event
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

InfluxDB 2.0 Documentation is Now Open Source
14 October 2019

Safety First! Common Safety Pitfalls in Distributed Databases Found by Jepsen Tests
18 September 2019

How TSQ Becomes a Performance Bottleneck for TiKV in AWS ARM Environment
26 August 2019

Lesson Learned from Queries over 1.3 Trillion Rows of Data Within Milliseconds of Response Time at Zhihu.com
21 August 2019

Porting TiDB to ARM64 for Greater Flexibility
16 August 2019

Migrating the TiKV Rust Client from Futures 0.1 to 0.3
8 August 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 DBTiDB
DB-Engines blog posts

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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

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

Under the Hood: Oracle Berkeley DB XML
7 May 2008, XML.com

provided by Google News

PingCAP offers titanium bullet to switch to its HTAP database
22 January 2019, DevClass

How TiDB combines OLTP and OLAP in a distributed database
17 October 2018, InfoWorld

TiDB developer PingCAP wants to expand in North America after raising $50M Series C
11 September 2018, TechCrunch

Percona Unveils Stellar Keynote Schedule for Eighth Annual Percona Live Open Source Database Conference
9 May 2019, GlobeNewswire

China’s Biggest Startups Ditch Oracle and IBM for Home-Made Tech
24 June 2019, Bloomberg

provided by Google News

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