Boomi Data Integration Features

As reported in 49 Boomi Data Integration reviews. Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Organize extracted data into a more easily digestible structure. This feature was mentioned in 49 Boomi Data Integration reviews.

Amass extracted data in a variety of data formats like spreadsheets and .csv. 48 reviewers of Boomi Data Integration have provided feedback on this feature.

Clean extracted data by removing duplicates, clearing excess characters, grouping by characteristic, and more. This feature was mentioned in 44 Boomi Data Integration reviews.

As reported in 47 Boomi Data Integration reviews. Stores data in cloud storage for access at any point.

Generate visual data representations from extracted data. 45 reviewers of Boomi Data Integration have provided feedback on this feature.

Extract data from the designated source(s) like relational databases, JSON files, and XML files. This feature was mentioned in 71 Boomi Data Integration reviews.

As reported in 68 Boomi Data Integration reviews. Cleanse and re-format extracted data to the needed target format.

As reported in 72 Boomi Data Integration reviews. Load reformatted data into target database, data warehouse, or other storage location.

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). This feature was mentioned in 72 Boomi Data Integration reviews.

Capable of scaling processing power up or down based on ETL volume. 67 reviewers of Boomi Data Integration have provided feedback on this feature.

As reported in 26 Boomi Data Integration reviews. Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.

Be compatible with a variety of data types for migration. 24 reviewers of Boomi Data Integration have provided feedback on this feature.

As reported in 23 Boomi Data Integration reviews. Send alerts for migration failures, and log migration processes to show possible root causes for failures.

Based on 21 Boomi Data Integration reviews. Copy and store the same data in multiple locations.

Ensures live debugging to alert if any failure during data sync.

Supports the creation of automated workflows and data pipelines.

Supports notifications in messaging applications such as Slack, and even in workflows.

Provides several pre-built connectors and API integrations to build data workflows.

Programmatic trigger of syncs via public APIs

Native support for incremental syncing

Move sync logs back into warehouse for auditing

Based on 66 Boomi Data Integration reviews. View ETL process data via reports and visualizations like charts and graphs.

As reported in 59 Boomi Data Integration reviews. Record ETL historical data for auditing and potential data correction needs.

Offer backup and/or recovery options for data being migrated to the cloud. This feature was mentioned in 21 Boomi Data Integration reviews.

Integrates with a variety of sources and/or migration targets. 23 reviewers of Boomi Data Integration have provided feedback on this feature.

As reported in 22 Boomi Data Integration reviews. Maintain user access and security features associated with pre-migrated data in the post-migration environment.

Real-time view and status of every component in the cloud environment. 25 reviewers of Boomi Data Integration have provided feedback on this feature.

Track data and system backups, replication, and failover events.

Integrate with other management, resilience, or backup solutions

Be compatible with a variety of cloud and/or virtual infrastructure.

Monitor replication environment via GUI

Provide as-before failover capabilities for cloud environments.

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

Offer disaster recovery capabilities as a third-party provider.

Transform or encode data before being moved to the cloud. 25 reviewers of Boomi Data Integration have provided feedback on this feature.

Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process.

Ensures data encryption across multiple levels of the reverse ETL process.

Supports the creation of SQL models to query any data warehouse.

Detailed logging for auditing needs.

Real-time visibility into the reverse ETL process.

Configures data mapping from data warehouse to target tools.

View the reverse ETL data via reports and charts through data viz and sync progress.

As reported in 49 Boomi Data Integration reviews. Pull any required data from a variety of sources, including email, web pages, PDFs, and other documents.

Allows users to generate text based on a text prompt.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Makes informed choices based on available data and objectives