IBM StreamSets Features

Based on 15 IBM StreamSets reviews. The ability to process large amounts of data.

Based on 14 IBM StreamSets reviews. The ability to process data from a wide variety of sources and formats.

The ability to work seamlessly with another software platform. This feature was mentioned in 15 IBM StreamSets reviews.

Processing data from a variety of sources in real time as it arrives. This feature was mentioned in 14 IBM StreamSets reviews.

Tools to visualize and analyze data. This feature was mentioned in 14 IBM StreamSets reviews.

Provides a high performance, flexibile analytics platform to support data management and embrace data driven decision making. 16 reviewers of IBM StreamSets have provided feedback on this feature.

As reported in 16 IBM StreamSets reviews. Collect and displays metrics across the data integration via a dashboard.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents. 32 reviewers of IBM StreamSets have provided feedback on this feature.

As reported in 32 IBM StreamSets reviews. Organize extracted data into a more easily digestible structure.

Based on 31 IBM StreamSets reviews. Amass extracted data in a variety of data formats like spreadsheets and .csv.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more. 31 reviewers of IBM StreamSets have provided feedback on this feature.

Based on 31 IBM StreamSets reviews. Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data. 31 reviewers of IBM StreamSets have provided feedback on this feature.

Based on 42 IBM StreamSets reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files.

As reported in 42 IBM StreamSets reviews. Cleanse and re-format extracted data to the needed target format.

Load reformatted data into target database, data warehouse, or other storage location. This feature was mentioned in 42 IBM StreamSets reviews.

Based on 43 IBM StreamSets reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Based on 43 IBM StreamSets reviews. Capable of scaling processing power up or down based on ETL volume.

Based on 43 IBM StreamSets reviews. View ETL process data via reports and visualizations like charts and graphs.

Based on 41 IBM StreamSets reviews. Record ETL historical data for auditing and potential data correction needs.

Integrates data and data-related technologies into a single environment. This feature was mentioned in 15 IBM StreamSets reviews.

Provides metadata management capabilities. 13 reviewers of IBM StreamSets have provided feedback on this feature.

Empowers the user via a self-service capability to manage data workflows. This feature was mentioned in 14 IBM StreamSets reviews.

As reported in 13 IBM StreamSets reviews. Completely automates end-to-end data workflows across the data integration lifecycle.

Involved solely in monitoring data pipelines, sending alerts and troubleshooting data. 15 reviewers of IBM StreamSets have provided feedback on this feature.

As reported in 15 IBM StreamSets reviews. Deploys testing capabilities such as report testing, big data testing, cloud data migration testing, ETL and data warehouse testing.

As reported in 15 IBM StreamSets reviews. Supports analytical platforms and data pipelines across complex hybrid environments.

Supports migration of component or pipeline to different cloud environments. This feature was mentioned in 15 IBM StreamSets reviews.

Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents. 32 reviewers of IBM StreamSets have provided feedback on this feature.

Based on 10 IBM StreamSets reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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