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DBMS > InfluxDB vs. Trafodion vs. VoltDB

System Properties Comparison InfluxDB vs. Trafodion vs. VoltDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonTrafodion  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsTransactional SQL-on-Hadoop DBMSDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.17
Rank#29  Overall
#1  Time Series DBMS
Score0.51
Rank#235  Overall
#113  Relational DBMS
Score1.71
Rank#125  Overall
#61  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewtrafodion.apache.orgwww.voltdb.com
Technical documentationdocs.influxdata.com/­influxdbtrafodion.apache.orgdocs.voltdb.com
DeveloperApache Software Foundation, originally developed by HPVoltDB Inc.
Initial release201320142010
Current release2.0.2, November 20202.3.0, February 201910.1, October 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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++, JavaJava, C++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
OS X infofor development
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
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/ADO.NetC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
InfluxDBTrafodionVoltDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» 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 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 modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Release Announcement: Telegraf 1.18.2
30 April 2021

Release Announcement: InfluxDB OSS 2.0.6
29 April 2021

Deploying Services with Docker, NGINX, Route 53 & Let’s Encrypt
26 April 2021

Release Announcement: InfluxDB OSS and InfluxDB Enterprise 1.8.5
20 April 2021

InfluxDB’s Checks and Notifications System
19 April 2021

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
InfluxDBTrafodionVoltDB
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

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxDB Makes it Easier for Disparate Devs to Collaborate on Time Series Data -- ADTmag
29 April 2021, ADT Magazine

InfluxData strengthens leadership team with three new Vice Presidents
21 April 2021, Business Wire

InfluxData releases InfluxDB Notebooks to improve communication for software development teams
16 April 2021, Help Net Security

InfluxData Advances Possibilities of Time Series Data With General Availability of InfluxDB 2.0
10 November 2020, Business Wire

provided by Google News

Apache Trafodion becomes Top-Level Project
10 January 2018, SDTimes.com

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

The Apache® Software Foundation Announces Annual Report for
29 July 2020, GlobeNewswire

How Facebook Accelerates SQL at Extreme Scale
31 August 2020, Datanami

ASF's 2018 annual report shows the Apache ecosystem is growing
20 July 2018, JAXenter

provided by Google News

Global NEWSQL Database Market Insight, Present Scenario & Growth Prospect Till 2028: Microsoft Corporation, IBM, Oracle, SAP, Amazon, Pivotal, Altibase, MemSQL, TIBCO, VoltDB, Google, Cockroach Labs, MariaDB, ScaleArc (Ignite Technologies) –
12 May 2021, Test & Measurement

Global In-Memory Database Market Key Players Change the View of the Global Face of Industry by 2028: Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software, Kognitio, VoltDB, Datastax, Enea Ab, Mcobject, Altibase, Starcounter ,et
11 May 2021, Clark County Blog

Perceptive Automata bolsters their leadership team adding Bruce Reading as Chief Executive Officer and Autonomous Vehicle expert, Drew Gray as a Board Director
5 May 2021, PR Web

Global NEWSQL Database Market 2021 Demands To See Growth Post Covid-19 with Top Companies: Microsoft Corporation, IBM, Oracle, SAP, Amazon, Pivotal, Altibase, MemSQL, TIBCO, VoltDB, Google, Cockroach Labs, MariaDB – Clark County Blog
13 May 2021, Clark County Blog

Top 20 Global Investment Bank Chooses VoltDB to Power Real-Time Decision-Making Capabilities
2 March 2021, PRNewswire

provided by Google News




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