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What is Lakeflow Designer?

Lakeflow Designer provides a no-code data preparation solution that is ready for production, making it an excellent choice for teams aiming to optimize their workflows. It allows users to leverage AI-driven authoring directly within Databricks for data preparation and transformation. This functionality enables modern data teams to perform no-code tasks effortlessly on Databricks, facilitating data management through natural language while circumventing the challenges of adopting new tools, excessive rework, and governance hurdles. By integrating Lakeflow's capabilities with an intuitive interface, Lakeflow Designer offers visual data preparation that preserves the essential power, scalability, and governance aspects of a centralized data platform. The inclusion of Genie Code further enhances the platform by allowing teams to develop and refine transformations based on the data's schema, lineage, and pertinent business context, which leads to greater accuracy and reduced manual effort. Additionally, it eases the transition to production by allowing users to prepare data directly at its origin, ensuring that transformations can be executed in production with Lakeflow Jobs without needing to replicate or adapt logic across various tools. This integrated methodology not only simplifies workflows but also significantly boosts overall productivity for data teams, ultimately fostering a more efficient data management environment.

What is Cloud Dataprep?

Trifacta's Cloud Dataprep is an innovative data service tailored for the visual exploration, cleaning, and organization of structured and unstructured datasets, which aids in analysis, reporting, and machine learning endeavors. Its serverless design enables operation at any scale, freeing users from the complexities of infrastructure management and deployment. The system intelligently anticipates your next ideal data transformation with each interaction in the user interface, thus eliminating the need for manual coding altogether. As a partner service of Trifacta, Cloud Dataprep leverages their acclaimed data preparation technology to boost its capabilities. Google works in close partnership with Trifacta to provide a seamless user experience, obviating the need for initial software installations, additional licensing costs, or ongoing maintenance efforts. Fully managed and capable of scaling as needed, Cloud Dataprep is adept at adapting to your shifting data preparation needs, allowing you to focus on your analytical goals. This cutting-edge service ultimately enables users to optimize their workflows and enhance productivity, making data preparation a more efficient process. Moreover, as the landscape of data continues to evolve, Cloud Dataprep remains agile, ensuring that users can keep pace with their analytical demands seamlessly.

Media

Media

Integrations Supported

Databricks
GlobalSUITE
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Google Sheets
Hosted Graphite
Openbridge
SAS Studio
StreamNative
Trifacta

Integrations Supported

Databricks
GlobalSUITE
Google Cloud BigQuery
Google Cloud Platform
Google Cloud Storage
Google Sheets
Hosted Graphite
Openbridge
SAS Studio
StreamNative
Trifacta

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Databricks

Date Founded

2013

Company Location

United States

Company Website

www.databricks.com/product/data-engineering/lakeflow-designer

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/dataprep

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

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

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