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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Achieve integrations up to ten times faster through the use of drag-and-drop functionality, pre-configured connectors, and personalized libraries. Our data flows operate within a cloud framework housed in fully isolated containers, which guarantees optimal performance, enhanced security, and unwavering availability. We oversee every transaction with a user-friendly and customizable dashboard, providing comprehensive management of your integrations. Our hybrid integration platform empowers you to swiftly and securely construct, test, deploy, and oversee your business integration logic, helping you unlock fresh value from your data. Designed with a simplexity approach, our platform simplifies even the most intricate integrations, enabling you to execute your integration projects more rapidly and with fewer errors compared to conventional inside-out methods. By utilizing built, stub, test, run, and operate features all within one integration platform, you can move beyond merely gathering tools to achieve tangible business results. This streamlined process not only enhances efficiency but also allows teams to focus on strategic objectives rather than getting bogged down by technical challenges.

Description

IBM Analytics for Apache Spark offers a versatile and cohesive Spark service that enables data scientists to tackle ambitious and complex inquiries while accelerating the achievement of business outcomes. This user-friendly, continually available managed service comes without long-term commitments or risks, allowing for immediate exploration. Enjoy the advantages of Apache Spark without vendor lock-in, supported by IBM's dedication to open-source technologies and extensive enterprise experience. With integrated Notebooks serving as a connector, the process of coding and analytics becomes more efficient, enabling you to focus more on delivering results and fostering innovation. Additionally, this managed Apache Spark service provides straightforward access to powerful machine learning libraries, alleviating the challenges, time investment, and risks traditionally associated with independently managing a Spark cluster. As a result, teams can prioritize their analytical goals and enhance their productivity significantly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Simple Queue Service (SQS)
Apache Spark
Google Cloud Storage
RabbitMQ
RadiantOne
SAP Cloud Platform
SAP Store
Switch Automation

Integrations

Amazon Simple Queue Service (SQS)
Apache Spark
Google Cloud Storage
RabbitMQ
RadiantOne
SAP Cloud Platform
SAP Store
Switch Automation

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Digibee

Country

United States

Website

digibee.com

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Product Features

Integration

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

Product Features

Data Analysis

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

Data Science

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

Integration

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

Alternatives

Alternatives

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