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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Based in Indonesia, our company specializes in managing data efficiently. We offer both a product and consulting services tailored to meet diverse needs. The name Delman is a fusion of "Data Excavation Learning and Management," symbolizing our commitment to delivering data science solutions centered around data preparation. Our goal is to facilitate digital transformation by seamlessly integrating and managing countless data sources with greater efficiency. We have successfully served a variety of sectors, including enterprises, conglomerates, and government entities in Indonesia. Our team possesses a robust blend of technical and operational expertise, establishing a unique presence within the country's deep tech ecosystem. We are confident that by adopting international best practices, we can create the most advanced and effective tools in the market. At Delman, we believe that the synergy of diverse talents and experiences is key to providing exceptional solutions that drive success. By constantly innovating and adapting, we aim to stay ahead of the curve in the rapidly evolving data landscape.

Description

Lakeflow Designer offers a no-code solution for data preparation that is production-ready and ideal for teams looking to streamline their processes. It empowers users to prepare and transform data using AI-driven authoring directly within Databricks. This enables contemporary data teams to conduct no-code operations seamlessly on Databricks, allowing them to manage data preparation and transformation through natural language, all while avoiding the complexities of new tools, unnecessary rework, and governance issues. By combining the capabilities of Lakeflow with a user-friendly interface, Lakeflow Designer delivers visual data preparation that maintains the robust power, scalability, and governance features of a central data platform. The integration of Genie Code allows teams to create and fine-tune transformations informed by the data’s schema, lineage, and relevant business context, which enhances precision and minimizes manual workloads. Furthermore, it simplifies the transition to production by enabling users to prepare data right at its source, ensuring that transformations can be utilized in production with Lakeflow Jobs without the need to reconstruct or translate logic between different tools. This cohesive approach not only streamlines workflows but also enhances overall productivity for data teams.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Databricks No 

Integrations

Databricks Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Delman

Founded

2018

Country

Indonesia

Website

delman.io

Vendor Details

Company Name

Databricks

Founded

2013

Country

United States

Website

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

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

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