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Neptune.ai : Reviews, Pricing, Features & Alternatives

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Neptune.ai is a Data Science & Machine Learning tool. Review Neptune.ai : Overview & Pricing

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Neptune.ai Overview : Features, Pricing, Reviews & Alternatives

Neptune.ai is a Data Science & Machine Learning tool intended for businesses. Let’s discover user reviews, features and prices of this business app.

Neptune.ai is listed as a Data Science & Machine Learning and Data Science for companies and is used for Utilities, Application Utilities, Machine Learning Tools … …

Neptune.ai prices are available on demand .

Fast and reliable chart database built for the cloud

What is Neptune.ai ?

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected data sets. At the heart of Amazon Neptune is a purpose-built, high-performance graph database engine optimized to store billions of relationships and query the graph with millisecond latency.

Amazon Neptune is a fast, reliable, and fully managed graph database service that makes it easy to build and run applications that work with highly connected data sets. At the heart of Amazon Neptune is a high-performance graph database engine specifically designed to store billions of relationships and query the graph with millisecond latency.

Neptune.ai Review

Neptune.ai Review : Pros & Cons

Pros & Cons

When it comes to finding the right Data Science & Machine Learning tools to manage your business, you have too many options – and they all come with their strengths and weaknesses.

One such familiar name in this arena is Neptune.ai, and as you may have guessed from the title, this review will tell you more about Neptune.ai’s pros and cons.

Weighing the pros & cons is essential before selecting this tool for your business and your team.

Neptune.ai Pros : Key Benefits

– High performance and scalability

– SaaS platform.

– Scalability and integration

– Frequent releases / updates

– High Compatibility

Neptune.ai Cons

– Con : Not always the cheapest option : Data Science & Machine Learning average cost is $ 4,67 .
– Con : Custom integrations can come at a price.
 

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Neptune.ai Features

Here is the list of the main features of this computer software :

– SaaS software

Main function & Pro Features

– Cloud Services

Neptune.ai Integrations

Neptune.ai integrates with more than 6 applications & plugins like PyTorch, Keras and R Language (…) : database connection, synchronize data, share files (…) to improve your workflow and increase your productivity !

It also provides a powerful API toolkit that allows developers to build web services and exchange data.

Top 20 Neptune.ai integrations

– R Language
– Keras
– PyTorch
– Matplotlib
– MLflow

Neptune.ai Pricing

The Neptune.ai pricing plan is available on request, but this price is likely to change because different options are offered by the developer : number of licenses, additional functions, add-ons, bundles …

Neptune.ai offers several pricing plans :

– Free Trial : $ 0 per user / per month
– Start : Price on demand
– Professional : Price on demand
– Enterprise : Price on demand
– Premium : Price on demand

Free Trial Start Professional Enterprise Premium
$0 Price on demand Price on demand Price on demand Price on demand
Per month Per month Per month Per month Per month
Per user Per user Per user Per user Per user

 

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Save $$$ on SaaS and on-premise Software Subscriptions to help your create, grow and scale your business : annual billing usually is cheaper than monthly billing and you can expect 10% to 20% discount.

Sign up for a trial and start using it right away !

Free trials usually are time limited or feature limited but this is a good way to ensure it is the right option for your business before making a purchase.

Screenshot of the Vendor Pricing Page :

Software Pricing Plan

Software Pricing Plans

Pricing Details

Pricing Model : Subscription
Free trial : No information
Free plan : No information
Freemium : No information
Starting price : Prices can vary depending on your business needs.
Entry-level set up fee : No setup fee

The pricing details were last updated this year from the vendor website or retrieved from publicly accessible pricing materials and may be different from actual. Please confirm pricing and deals with the vendor website before purchasing.

Deployment & Setup

Neptune.ai is a cloud-based Data Science & Machine Learning platform : its infrastructure is hosted in the United States (probably on AWS, Microsoft Azure or Google Cloud Platform).

amazon-neptune is a SaaS (Software as a Service) / web application : a web browser on a computer is required for full functionality of features and manage dashboard.

It supports desktop operating systems (like Windows …).

Technical Details & Specifications

Deployment : Cloud / SaaS
Desktop Operating Systems : Windows …
Mobile Platforms : –
Native Apps / Mobile Applications : –
GDPR compliance : No information

Supported languages

This application software supports the following languages : English …

Support & Training

Any problem with this computer program ? The vendor offers the following customer service & support to help teams get the most out of their business application : Online Support …

Hotline : Yes

Training options : …

Industry & Customers

Who use Neptune.ai ?

This software package is tailored to business needs : SME …

This web-based application is recommended for trades : Professional …

This cloud software is used in the sectors : Services …

Customer References

Testimonials & Customer References to decide if this is the right business software or service for your company : Herren, Geniusee, Fetchyfox …

Awards & Recognitions

No information .

Screenshots

This computer program has an ergonomic, intuitive and customizable user interface, which will improve team productivity and collaborative work within your company (SME, Startup, Entrepreneur …)

Neptune.ai Screenshots & Images : UI, dashboard …

Neptune.ai Review

Neptune.ai Business Software Pricing

Neptune.ai Features

Neptune.ai Features & Overview

Neptune.ai Screenshot

Neptune.ai Screenshot

Neptune.ai Screenshot

Neptune.ai Screenshot

Videos

Video #1

YouTube video

 

Neptune.ai Reviews

Here is our opinion on Neptune.ai : this is an innovative data science & machine learning tool to explore .

Neptune.ai User Reviews & Ratings

Online and customer reviews of Neptune.ai software are quite plentiful and overall medium :

Overall rating : 3/5

Value for money : 3/5
Functionality : 3/5
Usefulness : 3/5
Ease of use : 3/5

User rating Excellent : 10%
User rating Very Good : 80%
User rating Average : 10%
User rating Poor : 0%
User rating Terrible : 0%

High performance and scalability

Popularity on social networks :

Your Customer Review on Neptune.ai

What is your opinion about this app ? Submit your review and tell us about your overall opinion : experience with this SaaS software, rating, ease of use, customer service, value for money, Pros & Cons …

Customer reviews and feedbacks play an increasingly important role in the business software buying process. You can provide in-depth review and share your buying advice / reviewer sentiment : what is your likelihood to recommend Neptune.ai ? What is your likelihood to renew ?
 

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FAQs

Why use a Data Science & Machine Learning tool ?

Data science and machine learning make it possible to extract data and information and then create models.

According to various sources, most used business software are : OpenCV (market share : 24,80%), Apache Mahout (12,50%), Azure Machine Learning (5,00%), Dataiku DSS (2,70%), Apache MLLib (2,60%), H2O (2,10%), IBM SPSS Modeler (1,20%), GraphLab Create (1,00%), RapidMiner (1,00%), Azure Cognitive Services (0,90%), Cortana Intelligence Suite (0,60%), ROOT (0,50%), KXEN (0,40%), BigML (0,20%), SAP Predictive Analytics (0,20%), Deep Learning GPU Training System (DIGITS) (0,20%), Microsoft Computer Vision API (0,20%), KNIME Analytics Platform (0,10%), Predixion RIOT (0,10%)

Main functions are : 24/7 accessibility, Import – Export data

Main characteristics are : RCMP Common Repository, Third Party Data Collection, Access to Third Party Data Providers, Audience Taxonomy, Tag Management, Data Analytics Dashboard, Data Transfer, DSP Integration, Campaign Analytics, ‘audience, Document files, Data profile, Standardization of data data

Data Science & Machine Learning Average Price : from $ 4,67 to $ 4,67 with an average price of $ 4,67 . We have identified more than 253 competitors on the market.

Data Science & Machine Learning Review

Data Science & Machine Learning Review

Company details

Developed by AMAZON, Inc. (@awscloud on Twitter)
HQ location : USA
Founded :
Total revenue :

Industry : B2B SaaS company
Software Category : IT Management & Big Data Software > Data Science > Data Science & Machine Learning
Schema : SoftwareApplication > DeveloperApplication

Tags : …
Website : visit neptune.ai

About This Article

This page was composed and published by SaaS-Alternatives.

The information (and product details) outlined above is provided for informational purposes only. Please Check the vendor’s website for more detailed information.

Our opinion on Neptune.ai is independent in order to highlight the strengths and weaknesses of this Data Science & Machine Learning tool. Our website is supported by our users. We sometimes earn affiliate commission when you click through the affiliate links on our website.

Neptune.ai Alternatives

If you’re understanding the drawbacks and you’re looking for a Neptune.ai alternative, there are more than 17 competitors listed on SaaS-Alternatives !

If you’re in the market for a new software solution, the best approach is to narrow down your selection and then begin a free trial or request a demo.

 

Top 10 Alternatives & Competitors to Neptune ai

– IBM SPSS Modeler
– RapidMiner
– Adobe Sensei
– SAP Predictive Analytics
– Oracle Advanced Analytics
– FICO Model Builder
– Weka
– Pandas
– Scikit-learn
– NumPy

SaaS alternatives

Neo4j : Neo4j stores data in nodes connected by directed and written relationships with properties on both, also known as a Property Graph. It is a high-performance graph store with all the features expected of a robust and mature database, such as an easy-to-use query language and ACID transactions.

GraphQL : GraphQL is a runtime and data query language designed and used by Facebook to request and serve data to mobile and web applications since 2012.

OrientDB : It is an open source NoSQL database management system written in Java. It is a multi-model database, supporting graph, document, key/value, and object models, but relationships are handled as in graph databases with direct connections between records.

JanusGraph : It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users performing complex graph traversals in real time.

Dgraph : Dgraph’s goal is to provide production scale and performance to Google, with latency low enough to respond to user queries in real time, on terabytes of structured data. Dgraph supports GraphQL-like query syntax and responds in JSON and Protocol Buffers over GRPC and HTTP.

You can also take a look at other business apps, like our Amazon AWS Payments review and our Ambur review.

Comparison with Similar Software & Contenders

Take an in-depth look at popular IT Management & Big Data Software and Data Science to find out which one is right for your needs. Discover how these Data Science & Machine Learning compare to Neptune.ai when it comes to features, ease of use, customer support and user reviews. Explore software, Compare options and alternatives, Read reviews and Find your solution !
 

Compare Data Science & Machine Learning

 

6Expert Score
Neptune.ai Review
Neptune.ai is an innovative data science & machine learning tool to explore for your company or business.
Ease of use
6
Functionnality
6
Integrations
6
Customer support
6
Value for money
6
PROS
  • High performance and scalability
CONS
  • Not always the cheapest option
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