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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.
Description
Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Databricks
Founded
2013
Country
United States
Website
www.databricks.com/product/data-engineering/lakeflow-designer
Vendor Details
Company Name
Upsolver
Founded
2014
Country
Israel
Website
www.upsolver.com
Product Features
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface