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What is Spotfire?

Spotfire emerges as the ultimate analytics solution, enabling users to explore and visualize valuable insights from their data via dynamic dashboards and advanced analytical tools. The platform is equipped with a wide range of features, including predictive analytics, geolocation capabilities, and streaming data analysis, all engineered for high scalability. Moreover, the advent of Spotfire Mods allows users to rapidly and consistently create bespoke analytic applications that can evolve with their requirements. This integrated experience offered by Spotfire combines visual analytics, data exploration, and straightforward insights into a single user-friendly interface. Users can thoroughly engage with both historical and real-time data interactively, seamlessly navigating various complex and diverse data sources through fully brush-linked and responsive visualizations. Imagine the potential as you swiftly craft scalable, tailor-made analytics applications using the Spotfire Mods framework, ensuring that you fully exploit the power of Spotfire in your personalized analytics solutions. As the emphasis on data-driven decision-making intensifies, Spotfire continues to lead the way in providing cutting-edge and effective analytics tools for a wide array of users, thereby solidifying its position in the competitive market. The platform's innovative features and user-centric design make it an invaluable asset for organizations aiming to leverage data effectively.

What is IBM Cloud Pak for Data?

A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
Data Virtuality
Devart ODBC Drivers
IBM Control Desk
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM Storage Software Suite
IBM WebSphere Commerce
Korbyt Anywhere
Metric Insights
Microsoft 365
Microsoft Dynamics 365
SAP Cloud Platform
SciCord
Shapelets
Vertica
eLynx Technologies

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
Data Virtuality
Devart ODBC Drivers
IBM Control Desk
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM Storage Software Suite
IBM WebSphere Commerce
Korbyt Anywhere
Metric Insights
Microsoft 365
Microsoft Dynamics 365
SAP Cloud Platform
SciCord
Shapelets
Vertica
eLynx Technologies

API Availability

Has API

API Availability

Has API

Pricing Information

$25 per month
Free Trial Offered?
Free Version

Pricing Information

$699 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cloud Software Group

Company Location

United States

Company Website

spotfire.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/cloud-pak-for-data

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Science

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

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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