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DBMS > InfluxDB vs. TerarkDB vs. TimesTen

System Properties Comparison InfluxDB vs. TerarkDB vs. TimesTen

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.08
Rank#301  Overall
#51  Key-value stores
Score2.04
Rank#106  Overall
#53  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbgithub.com/­Terark/­terarkdbwww.oracle.com/­database/­timesten-in-memory-database/­index.html
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wikiwww.oracle.com/­technetwork/­database/­database-technologies/­timesten/­documentation/­index.html
DeveloperTerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201320161998
Current release1.7.8, August 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version availablecommercial
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++
Server operating systemsLinux
OS X infothrough Homebrew
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsHTTP API
JSON over UDP
C++ API
Java API
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
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 onlynoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
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 accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBTerarkDBTimesTen
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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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
InfluxDBTerarkDBTimesTen
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

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

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

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

An Introduction to InfluxDB
5 August 2019, The Collegian

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

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

Oracle gooses Exalytics in-memory appliance with flash, fat DDR3 sticks
15 July 2013, Register

Business Insider
25 January 2012, Business Insider

provided by Google News

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