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DBMS > InfluxDB vs. Memgraph vs. VoltDB

System Properties Comparison InfluxDB vs. Memgraph vs. VoltDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMemgraph  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleDistributed 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 DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.05
Rank#318  Overall
#31  Graph DBMS
Score1.71
Rank#116  Overall
#59  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbmemgraph.comwww.voltdb.com
Technical documentationdocs.influxdata.com/­influxdbmemgraph.com/­docsdocs.voltdb.com
DeveloperMemgraph LtdVoltDB Inc.
Initial release201320172010
Current release1.7.8, August 20199.0, April 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoFree license availableOpen 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 and C++Java, C++
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
OS X infofor development
Data schemeschema-freeschema-free and schema-optionalyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API
JSON over UDP
Bolt protocol
Cypher query language
Java API
RESTful HTTP/JSON API
JDBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoJava
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMulti-Master replication using RAFTMaster-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
Foreign keys infoReferential integritynoyes inforelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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 engineyes
User concepts infoAccess controlsimple rights management via user accountsUsers, roles and permissionsUsers and roles with access to stored procedures
More information provided by the system vendor
InfluxDBMemgraphVoltDB
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

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
InfluxDBMemgraphVoltDB
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

show all

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

An Introduction to InfluxDB
5 August 2019, The Collegian

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

provided by Google News

Graph Database Market Foresight By 2025 | Key Companies- IBM,
18 October 2019, openPR

Graph Database Market Is Booming Worldwide | IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz
18 October 2019, Statsflash

FactGem and Memgraph Partner to Give Clients Access to Real-Time, Transaction Based Analytics
1 February 2019, PRNewswire

Graph Database Market-Research including Growth Factors, Types and Analysis of Key Players- Research Forecasts to 2025
9 October 2019, Weekly Spy

Global Graph Database Market Insights, Forecast to 2025 with Major Companies- Microsoft, Oracle, IBM
2 October 2019, The Ukiah Post

provided by Google News

Global In-memory OLAP Database Market 2019 Revenue by:- Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL
18 October 2019, Global Market Journal

Big Success in In-Memory Database Market Latest Trends and Forecasting with Topmost players Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software
18 October 2019, Market Expert

What Are the Driving Growth of In-Memory Database Market By Top Key Players Oracle Corporation, Teradata Corporation, VoltDB Inc., Microsoft Corporation, Software AG, IBM Corporation, Amazon Web Services
3 October 2019, Market Report Gazette

How ML Helps Solve the Big Data Transform/Mastering Problem
10 October 2019, Datanami

VoltDB Introduces Smart Streaming Architecture for the Connected World
13 April 2019, AiThority

provided by Google News

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