Audience

Flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value

About IBM Analytics for Apache Spark

IBM Analytics for Apache Spark is a flexible and integrated Spark service that empowers data science professionals to ask bigger, tougher questions, and deliver business value faster. It’s an easy-to-use, always-on managed service with no long-term commitment or risk, so you can begin exploring right away. Access the power of Apache Spark with no lock-in, backed by IBM’s open-source commitment and decades of enterprise experience. A managed Spark service with Notebooks as a connector means coding and analytics are easier and faster, so you can spend more of your time on delivery and innovation. A managed Apache Spark services gives you easy access to the power of built-in machine learning libraries without the headaches, time and risk associated with managing a Sparkcluster independently.

Pricing

Free Trial:
Free Trial available.

Integrations

Ratings/Reviews

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Company Information

IBM
Founded: 1911
United States
www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Videos and Screen Captures

IBM Analytics for Apache Spark Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

IBM Analytics for Apache Spark Frequently Asked Questions

Q: What kinds of users and organization types does IBM Analytics for Apache Spark work with?
Q: What languages does IBM Analytics for Apache Spark support in their product?
Q: What kind of support options does IBM Analytics for Apache Spark offer?
Q: What other applications or services does IBM Analytics for Apache Spark integrate with?
Q: What type of training does IBM Analytics for Apache Spark provide?
Q: Does IBM Analytics for Apache Spark offer a free trial?

IBM Analytics for Apache Spark Product Features

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

Integration

ETL - Extract / Transform / Load
Metadata Management
Dashboard
Web Services
Multiple Data Sources