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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Genie Code is an advanced AI tool designed specifically for data teams, providing the capability to analyze, construct, and manage intricate data workflows within the Databricks environment. This intelligent agent autonomously orchestrates and implements multi-step tasks while adjusting to the unique data and governance frameworks of an organization, boasting specialized skills in data engineering, data science, machine learning, and business intelligence. Leveraging the metadata, semantics, and governance of Unity Catalog, Genie Code can pinpoint authoritative tables, metrics, and assets, comprehend dependencies among various data and AI systems, and adhere to established access restrictions. In the realm of data science, it excels in locating and cleansing data, scrutinizing datasets, validating hypotheses, and producing easily shareable reports. For machine learning processes, it handles feature engineering, model training and assessment, deployment, endpoint setup, and fine-tuning performance. Additionally, data engineers can utilize natural language to streamline ETL processes, enhance query performance, and construct Spark Declarative Pipelines, making their workflows more efficient and user-friendly. Overall, Genie Code empowers data teams to work more effectively and innovate rapidly in their data-driven initiatives.

Description

LangGrant seamlessly integrates advanced language models with your operational databases for reliable and governed data insights. Rather than offering isolated responses, it generates enduring, versioned Data Plans that elucidate the methodology and reasoning behind each outcome. Teams can assess, verify, and repurpose these plans while keeping the data intact. A single inquiry can amalgamate information across various databases, and LangGrant automatically adjusts to the unique schemas involved. It is compatible with models such as Claude, OpenAI, and Google Gemini, and accommodates platforms like Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, Redshift, Azure SQL, Databricks, and MySQL. These Data Plans progress through a structured lifecycle akin to software development (including stages like testing, approval, and staging) with built-in access controls, protection for personally identifiable information, compliance checks, and comprehensive audit trails. By leveraging previously established reasoning instead of incurring costs for each individual query, it enhances cost-effectiveness, fosters collaboration, and strengthens organizational knowledge. This innovative solution comes from the team behind Windocks, which has received recognition from Gartner for its contributions. Ultimately, LangGrant empowers organizations to harness their data more effectively and strategically.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Databricks
SQL

Integrations

Databricks
SQL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free tier available; custom
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/genie/code

Vendor Details

Company Name

LangGrant

Country

United States

Website

langgrant.com

Product Features

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