DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Neptune vs. InfluxDB vs. Vertica

System Properties Comparison Amazon Neptune vs. InfluxDB vs. Vertica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInfluxDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDBMS for storing time series, events and metricsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#133  Overall
#7  Graph DBMS
#4  RDF stores
Score18.65
Rank#33  Overall
#1  Time Series DBMS
Score22.55
Rank#29  Overall
#17  Relational DBMS
Websiteaws.amazon.com/­neptunewww.influxdata.com/­time-series-platform/­influxdbwww.vertica.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.influxdata.com/­influxdbwww.vertica.com/­documentation/­vertica
DeveloperAmazonVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201720132005
Current release1.7.6, April 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono 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 systemshostedLinux
OS X infothrough Homebrew
Linux
Data schemeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesNumeric 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.nonoyes
Secondary indexesnonono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSQL-like query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
HTTP API
JSON over UDP
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.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 proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasselectable replication factor infoin enterprise version onlyMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
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 controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple 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
Amazon NeptuneInfluxDBVertica infoVertica Analytics Platform
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Cost-based models and subscription-based models are available
» more

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon NeptuneInfluxDBVertica 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

show all

Recent citations in the news

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

IgnitionOne uses Amazon Neptune to Power Identity Resolution at Scale
23 April 2019, GlobeNewswire

Looking under the hood at Amazon Neptune
5 April 2018, ZDNet

Amazon Neptune is here: 6 ways customers use the AWS graph database
31 May 2018, TechRepublic

Amazon introduces an AWS graph database service called Amazon Neptune
29 November 2017, TechCrunch

provided by Google News

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

InfluxData Advances Analytic Capabilities for InfluxDB Cloud
12 September 2019, Database Trends and Applications

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

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

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
18 September 2019, DevOps.com

Micro Focus Releases Vertica in Eon Mode for Pure Storage | StorageReview.com
17 September 2019, StorageReview.com

The Current State of Database Technology (VIDEO)
20 August 2019, Database Trends and Applications

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

Struggling Micro Focus may sell off Autonomy | Business
30 August 2019, The Times

provided by Google News

Job opportunities

Business Analyst III
Amazon.com Services, Inc., Seattle, WA

Product Manager, Databases
Amazon.com Services, Inc., Seattle, WA

Solutions Engineer
Tom Sawyer Software, Remote

Scientific Data Platform Lead
Accenture, New York, NY

Scientific Data Platform Lead
Accenture, Cambridge, MA

Linux Engineer
SHINE Systems & Technologies, Washington, DC

Data Scientist
Mediocre, Carrollton, TX

Java Developer (Contract- Several Clients) Spartan Technologies
Spartan Technologies, Atlanta, GA

Cloud Coach
Verizon, Irving, TX

Software Engineer - Cloud
NVIDIA, Santa Clara, CA

Data Architect - Data Warehouse & MPP - Nationwide Opportunities
Amazon Web Services, Inc., Memphis, TN

Data Architect - Data Warehouse & MPP - Nationwide Opportunities
Amazon Web Services, Inc., Kansas City, MO

Data Architect - Data Warehouse & MPP - Nationwide Opportunities
Amazon Web Services, Inc., Houston, TX

Data Architect - Data Warehouse & MPP - Nationwide Opportunities
Amazon Web Services, Inc., Washington, DC

Data Architect - Data Warehouse & MPP - Nationwide Opportunities
Amazon Web Services, Inc., Austin, TX

jobs by Indeed




Share this page

Featured Products

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here