Predictive Analytics
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Top 11 Predictive Analytics Software API
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Top 11 Predictive Analytics Software API

Top 11 Predictive Analytics Software API
4.9 (98.04%) 102 ratings

Predictive Analytics API are Application Programming interfaces which access machine learning algorithms to analyze data and predict future outcomes mostly using RESTful interface.

Application Programming interface , allows accessing of databases, integration of new features into existing applications, share data between distinct applications.

API comes in the form of a library that includes specifications for routines, data structures, object classes, and variables. For SOAP and REST services, API comes as a specification of remote calls exposed to the API consumers.

What are the Top Predictive Analytics Software API: Google AI Platform, Microsoft Azure, Anaconda, Dataiku DSS, RapidMiner Studio, KNIME Analytics Platform, H2O.ai, BigML, Intuitics, Zementis, Yottamine are some of the top Predictive Analytics Software API.

What are Predictive Analytics Software API

Predictive Analytics simplifies and automates the data mining process and develops profiles, discovers the factors that lead to certain outcomes, predicts the most likely outcomes, and identifies a degree of confidence in the predictions.

Predictive Analytics API provides RESTful API to build Machine Learning models. Predictive Analytics API tools can help to analyze the data to add various features to applications, such as customer sentiment analysis, spam detection, and recommendation systems.

Top Predictive Analytics Software API

Google AI Platform, Microsoft Azure, Anaconda, Dataiku DSS, RapidMiner Studio, KNIME Analytics Platform, H2O.ai, BigML, Intuitics, Zementis, Yottamine are some of the top Predictive Analytics Software API.
Predictive Analytics Software API
PAT Index™
 
 
 
RapidMiner
 
 
 
 
 
 
 
 
1

Google AI Platform

Google AI Platform

AI Platform makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. From data engineering to “no lock-in” flexibility, AI Platform’s integrated tool chain helps you build and run your own machine learning applications. AI Platform supports Kubeflow, Google’s open-source platform, which lets you build portable ML pipelines that you can run on-premises or on Google Cloud without significant code changes. And you’ll have access to cutting-edge Google AI technology like TensorFlow, TPUs, and TFX tools as you deploy your AI applications to production.…

Overview
Features

• Cloud-based Machine Learning
• Customer Sentiment Analysis
• Spam Detection
• Recommendation Systems
• Sentiment Analysis
• Purchase Prediction

Price

Contact for Pricing

What is best?

• Cloud-based Machine Learning
• Customer Sentiment Analysis
• Spam Detection

What are the benefits?

•State-of-the-art security system
•Convenient pricing scheme
•Long-term use guaranteed

Bottom Line

Prediction API can integrate with Google App Engine, and the RESTful API is available through libraries for many popular languages, such as Python, JavaScript and .NET.

9.5
Editor Rating
8.0
Aggregated User Rating
15 ratings
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Google AI Platform

2

Microsoft Azure

Microsoft Azure Machine Learning offers cloud based advanced analytics designed to simplify machine learning for business. Business users can model their way, with best in class algorithms from Xbox, Bing, R or Python packages, or by dropping in custom R or Python code. The finished model can then be deployed in minutes as a web service, which can connect to any data, anywhere. It can also be published out to the community in the product Gallery or into the Machine Learning Marketplace. In Machine Learning Marketplace the application programming interfaces (APIs) and finished services are available. By connecting data on…

Overview
Features

• Digital Marketing
• Mobile
• E-Commerce
• LOB Applications
• SharePoint on Azure
• Dynamics on Azure
• SAP on Azure
• Red Hat on Azure
• DevOps
• Development and Test
• Monitoring
• Business Intelligence
• Big Data and Analytics
• Data Warehouse
• Business SaaS Apps
• Cloud Migration
• Hybrid Integration
• Backup and Archive
• Disaster Recovery
• Internet of Things
• Digital Media
• High Performance Computing
• Blockchain
• Microservice Applications
• Gaming
• Mainframe Migration

Price

•App Service – Starting From FREE Every Month
•Virtual Machines – Starting From $13 / month
•SQL Database – Starting From $4.99 / month

What is best?

• Digital Marketing
• Mobile
• E-Commerce

What are the benefits?

• Mobile enabled
• Cloud based
• Supports any operating system, language, tool and framework.

Bottom Line

Microsoft Azure Machine Learning offers cloud based advanced analytics designed to simplify machine learning for business. Business users can model their way, with best in class algorithms from Xbox, Bing, R or Python packages, or by dropping in custom R or Python code.

9.4
Editor Rating
7.7
Aggregated User Rating
34 ratings
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Microsoft Azure

3

Anaconda

Anaconda is an open data science platform powered by Python. The open source version of Anaconda is a high performance distribution of Python and R and includes over 100 of the most popular Python, R and Scala packages for data science. There is also access to over 720 packages that can easily be installed with conda, the package, dependency and environment manager, that is included in Anaconda. Includes the most popular Python, R & Scala packages for stats, data mining, machine learning, deep learning, simulation & optimization, geospatial, text & NLP, graph & network, image analysis. Featured packages include: NumPy,…

Overview
Features

• Analytics Workflows
• Analytics Interaction
• High Performance Distribution
• Data Engineering
• Advanced Analytics
• High Performance Scale Up
• Reproducibility
• Analytics Deployment

Price

Contact for Pricing

What is best?

• Analytics Workflows
• Analytics Interaction
• High Performance Distribution

What are the benefits?

• Accelerate streamline of data science workflow from ingest through deployment
• Connect all data sources to extract the most value from data
• Create, collaborate and share with the entire team

Bottom Line

Anaconda Distribution gives superpowers to people that change the world with high performance, cross-platform Python and R that includes the best innovative data science from open source.

7.7
Editor Rating
8.2
Aggregated User Rating
17 ratings
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Anaconda

4

Dataiku DSS

Dataiku DSS is the collaborative data science platform that enables teams to explore, prototype, build, and deliver their own data products more efficiently. Dataiku DSS provides an interactive visual interface where they can point, click, and build or use languages like SQL to data wrangle, model, easily re-run workflows, visualize results, and get up-to-date insights on demand. Dataiku DSS provides tools to draft data preparation and modelisation in seconds, that wish to leverage their favorite ML libraries (scikitlearn, R, MLlib, H2O, and so on), and that rely on automating their work in a completely customizable interface. Data Ops. It also…

Overview
Features

• Connectivity
• Data Wrangling
• Machine Learning
• Data Mining
• Data Visualization
• Data Workflow
• Realtime Scoring
• Code Or Click
• Collaboration
• Deployment
• Enterprise Readiness

Price

Contact for Pricing

What is best?

• Connectivity
• Data Wrangling
• Machine Learning

What are the benefits?

• Collaborative Data Science software
• Allows to use customizable drag-and-drop code
• Allows to use more than 20 charts and more than 80 built-in functions

Bottom Line

Dataiku DSS provides an interactive visual interface where they can point, click, and build or use languages like SQL to data wrangle, model, easily re-run workflows, visualize results, and get up-to-date insights on demand. Data Scientists

9.3
Editor Rating
8.4
Aggregated User Rating
15 ratings
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Dataiku DSS

5

RapidMiner Studio

RapidMiner Studio is a visual design environment for rapidly building complete predictive analytic workflows. It provides a deep library of machine learning algorithms, data preparation and exploration functions, and model validation tools to support all your data science projects and use cases. Data science teams can easily re-use existing R and Python code, and add new functionality via a large marketplace of pre-built extensions. RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application…

Overview
Features

• Unified Platform
• Visual Workflow Design
• Breadth of Functionality
• Open Source Innovation
• Broad Connectivity
• Data Science at Every Scale

Price

Contact for Pricing

What is best?

• Unified Platform
• Visual Workflow Design
• Breadth of Functionality

What are the benefits?

• Visual workflow design
• Breadth of functionality
• Open source innovation

Bottom Line

RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development.

9.5
Editor Rating
7.1
Aggregated User Rating
19 ratings
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RapidMiner Studio

6

KNIME Analytics Platform

KNIME, the Konstanz Information Miner, is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept and provides a graphical user interface allows assembly of nodes for data preprocessing, for modeling and data analysis and visualization. KNIME Collaborative Extensions and KNIME Analytics Platform includes KNIME TeamSpace, KNIME Server Lite,KNIME WebPortal, and KNIME Server. KNIME Analytics Platform provides over 1000 data analytic routines, either natively or through R and Weka, for such topics as Univariate and Multivariate Statistics, Data Mining,Time Series, Image Processing, Web Analytics, Text…

Overview
Features

• Powerful Analytics
• Data & Tool Blending
• Open Platform
• Over 1000 Modules and Growing
•Connectors for all major file formats and databases
•Support for a wealth of data types: XML, JSON, images, documents, and many more
•Native and in-database data blending & transformation
•Math & statistical functions
•Advanced predictive and machine learning algorithms
• Workflow control
• Tool blending for Python, R, SQL, Java, Weka, and many more
• Interactive data views & reporting

Price

Contact for Pricing

What is best?

• Powerful Analytics
• Data & Tool Blending
• Open Platform

What are the benefits?

• Churn analysis
• Social media sentiment analysis
• Credit scoring

Bottom Line

KNIME Analytics Platform provides over 1000 data analytic routines, either natively or through R and Weka, for such topics as Univariate and Multivariate Statistics, Data Mining,Time Series, Image Processing, Web Analytics, Text Mining, Network Analysis and Social Media Analysis

9.5
Editor Rating
8.5
Aggregated User Rating
24 ratings
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KNIME Analytics Platform

7

H2O.ai

H2O is an Open Source Fast Scalable Machine Learning API for Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means etc.H2O makes it possible for anyone to easily apply machine learning and predictive analytics to solve today’s most challenging business problems. H2O was written from scratch in Java and seamlessly integrates with the most popular open source products like Apache Hadoop and Spark to give customers the flexibility to solve their most challenging data problems. H2O’s intuitive web-based Flow graphical user interface or familiar programming environments like R, Python, Java, Scala, JSON, and…

Overview
Features

•Best of Breed Open Source Technology
•Easy-to-use WebUI and Familiar Interfaces
•Data Agnostic Support for all Common Database and File Types
•Massively Scalable Big Data Analysis
•Real-time Data Scoring

What is best?

•Best of Breed Open Source Technology
•Easy-to-use WebUI and Familiar Interfaces
•Data Agnostic Support for all Common Database and File Types

What are the benefits?

• Easy to use WebUI and Familiar interfaces
• Best of breed open source technology
• Massively Scalable big data analysis

Bottom Line

H2O makes it possible for anyone to easily apply machine learning and predictive analytics to solve today’s most challenging business problems.

7.6
Editor Rating
7.3
Aggregated User Rating
12 ratings
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H2O.ai

8

BigML

BigML offers a highly scalable, cloud based machine learning service that is easy to use, seamless to integrate and instantly actionable. Now everyone can implement data-driven decision making in their applications. BigML works with small and big data. machine learning can be used to analyze and predict: customer behavior, to increase customer loyalt, site visit behavior, to increase site conversion, diagnostics, to support in health care, hardware maintenance and many other area's,risk profiles, to process loan applications, stock levels, to optimize supply of goods and many, many other applications, where finding patterns in data creates new insights and using those…

Overview
Features

•Fast Web Interface
•Command Line Interface
•A RESTful API
•Machine Learning Practitioner
•Fast Models

Price

•Private deployments (one server)-$45,000/ year+ $10,000 setup fee
•Subscription plans- Standard-$240/year, Boosted-$1,200/year, Pro-$2,400/year,Bronze-$21,000/year, Silver-$42,000/year, Gold-$63,000/year, Platinum-$84,000/year

What is best?

•Fast Web Interface
•Command Line Interface
•A RESTful API

What are the benefits?

• Accurately predict valuable future outcomes for your organization
• Segment your data into separate groups by similarity
• Detect anomalous instances in your data

Bottom Line

Big ML enable to ceate a model, just use the 1-click model from a dataset view to use all active fields and instances in your dataset to generate a model that predicts (i.e., has as objective field) the last column in the input data.

8.3
Editor Rating
8.9
Aggregated User Rating
3 ratings
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BigML

9

Intuitics

Intuitics empowers business users to run advanced analytics models themselves in order to generate insights from data. Today, data scientists in large companies frequently rerun predictive models for different parameters and data. This wastes time and slows down decision making. With Intuitics, the data team quickly turns a model into a predictive web app which anybody in the organization can use with a few clicks. Their software speeds up decision making, makes it more data-driven, and saves the data scientists time. Intuitics applications are driven by the most popular data science languages: R, SAS, and Python. The process of converting…

Overview
Features

•Collaborate and distribute insights
•Create apps your users will love
•Minimize IT involvement
•Free up time for analyzing new data
•Use the tech you know and love
•Deliver data insights faster

Price

Contact for Pricing

What is best?

•Collaborate and distribute insights
•Create apps your users will love
•Minimize IT involvement

What are the benefits?

• Minimize IT involvement
• Deliver data insights faster
• Save time for analyzing new data

Bottom Line

Intuitics increases the speed with which data insights reach decision makers. A business user no longer needs to wait for the data science team to rerun an analysis with different parameters and data and they can get the insights she needs with a few clicks in an intuitive web application, built with Intuitics.

7.6
Editor Rating
8.1
Aggregated User Rating
1 rating
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Intuitics

10

Zementis

Zementis provides software solutions for predictive analytics. The company was founded on the principle that data science teams and IT departments can collaborate seamlessly and efficiently, allowing predictive models to rapidly move from development to deployment, so that businesses and other data-centric organizations can easily incorporate predictive analytics into their routine operations. Agile deployment of predictive solutions is the cornerstone of the Zementis philosophy. Core solutions include ADAPA:, a decision engine for predictive analytics, and UPPI:, a universal plug-in utility for industry-leading analytics and data warehouse platforms. Zementis customers can deploy these solutions on-premise or in the cloud, with access…

Overview
Features

•Accelerating intelligent decision making via predictive models
•Reducing cost and complexity of predictive analytics
•Enhancing adoption and encouraging utilization of predictive analytics across multiple business functions and end users
•Ensuring scalability and reliability of model execution via a uniform deployment platform
•Supporting highly dynamic and complex data environments

Price

Contact for Pricing

What is best?

•Accelerating intelligent decision making via predictive models
•Reducing cost and complexity of predictive analytics
•Enhancing adoption and encouraging utilization of predictive analytics across multiple business functions and end users

What are the benefits?

• Reduce cost and complexity of operationalizing predictive models for big data
• Easily adapt machine learning
• Accelerate time to market for intelligent decision making via AI.

Bottom Line

Zementis accelerates the deployment of predictive models, thereby accelerating business insight. Zementis solutions are based on PMML, the Predictive Model Markup Language, which strips away the complexity of model-to-model translation and data science-to-IT operationalization

7.6
Editor Rating
7.9
Aggregated User Rating
1 rating
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Zementis

11

Yottamine

Yottamine is a Big Solution to meet Big Data requirements. Yottamine has been developed as an advanced machine learning solution for data modeling and can scale to easily manage huge data volumes. In order to assure the most efficient processing of these (and smaller) data sets, special emphasis has been placed maintaining best practices in high-performance computing. Yottamine draws from supercomputing to utilize MPI parallel processing, which enables superior performance in scalable large-scale parallel applications. MPI is the preferred approach for managing resources for both in memory processing as well as managing resources across high performance clusters. Yottamine’s distributed memory…

Overview
Features

•Yottamine OP for Hadoop
•Machine Learning Services
•Professional Services

What is best?

•Yottamine OP for Hadoop
•Machine Learning Services
•Professional Services

What are the benefits?

• Reduced time from data to prediction
• Automated parameter estimation
• Higher business return

Bottom Line

YottamineOP specifically designed for applications such as churn analysis, fraud detection and risk modelling, where the occurrence of desirable (such as purchasing) or undesirable (e.g. commit a fraud) outcome of a business event is only a small portion of all the possible events.

7.6
Editor Rating
6.5
Aggregated User Rating
1 rating
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Yottamine

You may also like to review the predictive analytics free software list :
Predictive Analytics Freeware Software

You may also like to review the top predictive analytics proprietary software list:
Top Predictive Analytics proprietary Software

 

1 Reviews
  • ali sedighzad
    June 10, 2016 at 11:55 pm

    ADDITIONAL INFORMATION
    Hi
    i have a lot of corpus data that i want to take out some sort of lexical bundles from them , sth about 30 million corpra words. wuld you mind guiding me which free application / software shall i use.
    Your prompt reply is appriciated.

    RGDS

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