IBM Cloud Pak for Data Features

Supports a variety of scripting environments

Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data

Analyzes both structured and unstructured data

Interacts with data to prepare it for visualizations and models

Offers modeling capabilities

Creates data visualizations or graphs

Generates reports of data performance

Unifies information on a singular platform

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Transforms raw data into features that better represent the underlying problem to the predictive models This feature was mentioned in 12 IBM Cloud Pak for Data reviews.

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

Based on 27 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Facilitates analysis of high-volume, real-time data.

Based on 15 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Allows user to query data through query languages like SQL.

Based on 23 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 22 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Spark

Based on 25 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Integrates data from multiple external databases.

Based on 24 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Based on 26 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Processes data and represents interpretations in a variety of graphic formats.

Based on 25 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Strings together specific functions and datasets to automate analytics iterations.

Based on 23 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Isolates certain datasets and facilitates management of data access.

Based on 24 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Allows big data tool to run and record data within external applications.

Based on 13 IBM Cloud Pak for Data reviews and verified by the G2 Product R&D team. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Allows users to create virtual machines to meet specific needs and optimize performance.

Provides interface for building custom machines and analytics.

Supports the necessary operating system and linux distributions for custom machines.

Lets users provisionnetworks, deliver content, balance loads, and manage traffic.

Provides virtual networks and operating systems.

Securesapplications, encrypt data, and manage identities.

Enables maintenance to existing virtual machines to improve functionality and security.

Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality.

Allows transferring data and virtual machines during adoption and maintenance.

Provides management tools for data storage, database configuration, and scaling.

Lets users analyze storage, performance, and connectivity.

Supports for managing different types of databases and integration methods.

Captures information related to IP traffic and network usage.

Services are offered under a pay-as-you-go or utilization-based purchase model.

Track a business' IaaS usage statistics through dashboards, metrics, and reporting.

Track a business' IaaS performance statistics through dashboards, metrics, and reporting.

Provides public cloud capabilities.

Provides private cloud capabilities.

Provides hybrid cloud capabilities.

Provides bare metal servers.

Provides high-performance computing (HPC) capabilities.

Provides virtual machines (VMs).

Provides edge computing capabilities.

Provides virtual networking capabilities.

Gives user ability to import a variety of data sources for immediate use This feature was mentioned in 11 IBM Cloud Pak for Data reviews.

Scales infrastructure resources automatically to meet capacity or computational demands

Consolidate data from various disparate sources in a single unified view

Understand the state of data, applications, systems and services

Manage data across environments (on-premises cloud, hybrid, and multi-cloud)

Provides metadata management and lineage capabilities

Supports advanced analytics solutions for better business decision making

Rules and regulations inherited from source systems or defined to secure sensitive data

Grant or restrict data access and control

Built - In Backup and Disaster Recovery

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.

Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective.

Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.

Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.

Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.

Allows the user to set up access controls based on roles within the organization, enhancing security.

Ensures that data is encrypted during transit and at rest, providing an additional layer of security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives