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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 Kylo?

Kylo is an open-source solution tailored for the proficient management of enterprise-scale data lakes, enabling users to effortlessly ingest and prepare data while integrating strong metadata management, governance, security, and best practices informed by Think Big's vast experience from over 150 large-scale data implementations. It empowers users to handle self-service data ingestion, enhanced by functionalities for data cleansing, validation, and automatic profiling. The platform features a user-friendly visual SQL and an interactive transformation interface that simplifies data manipulation. Users can investigate and navigate both data and metadata, trace data lineage, and access profiling statistics without difficulty. Moreover, it includes tools for monitoring the vitality of data feeds and services within the data lake, which aids users in tracking service level agreements (SLAs) and resolving performance challenges efficiently. Users are also capable of creating and registering batch or streaming pipeline templates through Apache NiFi, which further supports self-service capabilities. While organizations often allocate significant engineering resources to migrate data into Hadoop, they frequently grapple with governance and data quality issues; however, Kylo streamlines the data ingestion process, allowing data owners to exert control through its intuitive guided user interface. This revolutionary approach not only boosts operational effectiveness but also cultivates a sense of data ownership among users, thereby transforming the organizational culture towards data management. Ultimately, Kylo represents a significant advancement in making data management more accessible and efficient for all stakeholders involved.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Databricks
Elasticsearch
Hadoop
HashiCorp Vault
MySQL
OpenText Data Privacy & Protection Foundation
Talend Data Preparation
ThoughtSpot
VirtualBox
bipp

Integrations Supported

Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Databricks
Elasticsearch
Hadoop
HashiCorp Vault
MySQL
OpenText Data Privacy & Protection Foundation
Talend Data Preparation
ThoughtSpot
VirtualBox
bipp

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

Teradata

Date Founded

1979

Company Location

United States

Company Website

kylo.io

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 Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Preparation

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

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