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DBMS > InfluxDB vs. Vertica

System Properties Comparison InfluxDB vs. Vertica

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSRelational 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
Score22.51
Rank#29  Overall
#17  Relational DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.vertica.com
Technical documentationdocs.influxdata.com/­influxdbwww.vertica.com/­documentation/­vertica
DeveloperVertica / Micro Focus infoprior to that Hewlett Packard
Initial release20132005
Current release1.7.8, August 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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
Secondary indexesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP API
JSON over UDP
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
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
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
InfluxDBVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are 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
InfluxDBVertica infoVertica Analytics Platform
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

Micro Focus Announces Vertica in Eon Mode for Pure Storage
17 September 2019, Yahoo Finance

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

Diamanti Appoints Andrew Wild as Chief Revenue Officer
18 September 2019, Yahoo Finance

Hewlett Packard Enterprise Company (HPE)'s Financial Results Comparing With CommScope Holding Company Inc. (NASDAQ:COMM)
13 October 2019, MЕSА Wееkly

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

provided by Google News

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