AWS Glue DataBrew

Spec sheet

What it does

AWS Glue DataBrew is a visual, fully managed service for cleaning, normalizing and transforming data without writing code.Read 15 Oct 2026 · docs.aws.amazon.com

Purpose

AWS Glue DataBrew is a visual tool for preparing data for analytics and machine learning without writing code.Read 3 Oct 2026 · aws.amazon.com

Intended users

AWS identifies data analysts and data scientists who prepare data for analytics and machine learning as DataBrew’s primary users.Read 3 Oct 2026 · aws.amazon.com

API

AWS provides an API reference for AWS Glue DataBrew operations.Read 3 Oct 2026 · aws.amazon.com

Integrations

DataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog.Read 3 Oct 2026 · docs.aws.amazon.com

Security

AWS documentation recommends IAM access controls, TLS for communications, CloudTrail activity logging, and AWS encryption solutions.Read 3 Oct 2026 · docs.aws.amazon.com

Compliance

AWS says third-party auditors assess DataBrew within compliance programs including SOC, PCI, FedRAMP and HIPAA.Read 15 Oct 2026 · docs.aws.amazon.com

Access requirements

Initial setup requires an AWS account, IAM policies, users or groups and a role that can access the data on the user's behalf.Read 15 Oct 2026 · docs.aws.amazon.com

Automation

Saved transformations can be applied to new data as it arrives in a source system.Read 3 Oct 2026 · aws.amazon.com

AWS integrations

Supported AWS integrations include CloudFront, CloudFormation, CloudTrail, CloudWatch, Step Functions, Lake Formation and S3.Read 15 Oct 2026 · docs.aws.amazon.com

Core objects

The documented model includes projects, datasets, recipes, jobs, data lineage and data profiles.Read 15 Oct 2026 · docs.aws.amazon.com

Data profiling

Users can profile data to evaluate its quality, understand patterns, and detect anomalies.Read 3 Oct 2026 · aws.amazon.com

Documentation depth

The developer guide covers concepts, setup, datasets, integrations, security, quotas, jobs, recipes, profiles and troubleshooting topics.Read 15 Oct 2026 · docs.aws.amazon.com

File formats

Supported uploads include CSV, Excel, JSON, ORC and Parquet, while outputs include CSV/TSV, Parquet, Avro, ORC, XML and JSON Lines variants.Read 15 Oct 2026 · docs.aws.amazon.com

Free usage

First-time DataBrew users receive 40 free interactive sessions through the AWS Free Tier.Read 15 Oct 2026 · aws.amazon.com

Infrastructure as code

CloudFormation exposes Dataset, Job, Project, Recipe, Ruleset and Schedule resource types for DataBrew.Read 15 Oct 2026 · docs.aws.amazon.com

Input connections

Datasets can use Amazon S3, the Glue Data Catalog, AWS Data Exchange or JDBC connections.Read 15 Oct 2026 · docs.aws.amazon.com

JDBC sources

The documented JDBC sources are Amazon Redshift, SQL Server, MySQL, Oracle, PostgreSQL and Snowflake.Read 15 Oct 2026 · docs.aws.amazon.com

Job pricing

DataBrew jobs are priced at $0.48 per node-hour in the pricing example on the AWS Glue pricing page.Read 3 Oct 2026 · aws.amazon.com

Launch date

AWS announced Glue DataBrew on 11 November 2020 as a visual preparation tool for cleaning and normalizing data.Read 15 Oct 2026 · aws.amazon.com

Limit: complexity

Reviewers report that setup, debugging and permissions become difficult, particularly for complex workflows.Read 15 Oct 2026 · softwareadvice.com

Limit: cost

Reviewers complain that AWS Glue costs can become expensive as performance and data volume requirements rise.Read 15 Oct 2026 · softwareadvice.com

Limit: performance

G2 review-topic summaries include slow performance among AWS Glue complaints.Read 15 Oct 2026 · g2.com

Limit: support and billing

Trustpilot reviewers frequently describe difficulty reaching human support and report unexpected or continuing charges.Read 15 Oct 2026 · trustpilot.com

Limit: transformation scope

Some reviewers describe the tool as too simplistic for complex transformations and say customization is constrained by prebuilt templates.Read 15 Oct 2026 · softwareadvice.com

Lineage

DataBrew visually maps data lineage across data sources and transformation steps.Read 3 Oct 2026 · aws.amazon.com

Maker company

Amazon Web Services (AWS) is listed by LinkedIn as a public IT-services company headquartered in Seattle, with more than 10,001 employees and founded in 2006.Read 15 Oct 2026 · linkedin.com

Output limitation

DataBrew recipe-job outputs can use S3, the Glue Data Catalog or JDBC databases through RDS, while AWS Data Exchange and AppFlow are not supported output stores.Read 15 Oct 2026 · docs.aws.amazon.com

Praise: integrations

Reviewers repeatedly praise AWS Glue's ability to connect AWS services and multiple data sources, especially S3, RDS and Redshift.Read 15 Oct 2026 · softwareadvice.com

Praise: managed infrastructure

Reviewers value the serverless model because they do not have to manage servers or scaling infrastructure.Read 15 Oct 2026 · softwareadvice.com

Productivity claim

AWS says DataBrew can reduce preparation time by up to 80% compared with custom-developed preparation.Read 15 Oct 2026 · docs.aws.amazon.com

Public API

AWS publishes a Glue DataBrew API and a Boto3 client created with boto3.client('databrew').Read 15 Oct 2026 · docs.aws.amazon.com

Rating on Capterra

4.1 out of 5 from 10 reviews.Read 15 Oct 2026 · capterra.com

Rating on G2

4.3 out of 5 from 196 reviews.Read 15 Oct 2026 · g2.com

Rating on GetApp

4.1 out of 5 from 10 reviews.Read 15 Oct 2026 · getapp.com

Rating on Software Advice

4.1 out of 5 from 10 reviews.Read 15 Oct 2026 · softwareadvice.com

Rating on Trustpilot

1.3 out of 5 from 431 reviews for aws.amazon.com.Read 15 Oct 2026 · trustpilot.com

Recipe orchestration

DataBrew recipes can be orchestrated in AWS Glue Studio workflows and use bookmarks, retries and automatic scaling.Read 15 Oct 2026 · docs.aws.amazon.com

Scale

AWS says DataBrew can prepare terabytes and petabytes of data from data lakes, warehouses, and databases.Read 3 Oct 2026 · aws.amazon.com

Security model

AWS documents DataBrew under the shared-responsibility model, with AWS securing the cloud infrastructure and customers responsible for in-cloud configuration and data obligations.Read 15 Oct 2026 · docs.aws.amazon.com

Service limits

Default regional quotas include 10 concurrent jobs, 100 datasets, 100 jobs, 300 nodes, 10 open projects, 100 projects and 500 recipes per account.Read 15 Oct 2026 · docs.aws.amazon.com

Session pricing

Each 30-minute interactive session costs $1.00 on the AWS Glue pricing page.Read 3 Oct 2026 · aws.amazon.com

Smart suggestions

DataBrew makes automated suggestions intended to expose data-quality issues that are difficult to find manually.Read 15 Oct 2026 · docs.aws.amazon.com

Transformation library

The service provides more than 250 built-in transformations, including anomaly filtering, format conversion and invalid-value correction.Read 15 Oct 2026 · docs.aws.amazon.com

Transformations

It offers over 250 built-in transformations, including options to filter anomalies, standardize formats, and correct invalid values.Read 3 Oct 2026 · aws.amazon.com

Visual interface

Users can interactively discover, visualize, clean and transform raw data through a point-and-click interface.Read 15 Oct 2026 · docs.aws.amazon.com

Plans and prices

Every AWS Glue DataBrew plan and price →

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