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About

Genie Code is an AI agent built for data teams that analyzes, builds, and maintains complex data workflows inside the Databricks workspace. It autonomously plans and executes multistep tasks while adapting to an organization’s data and governance model, with specialized capabilities across data engineering, data science, machine learning, and business intelligence. Grounded in Unity Catalog metadata, semantics, and governance, it can identify authoritative tables, metrics, and assets, understand dependencies across data and AI systems, and respect existing access controls. For data science, Genie Code can find and clean data, explore datasets, test hypotheses, and generate shareable reports. Machine learning workflows include feature engineering, model training and evaluation, deployment, endpoint configuration, and performance tuning. Data engineers can use natural language to automate ETL workloads, optimize queries, and build Spark Declarative Pipelines.

About

Managed Service for Apache Spark is a Google Cloud solution that simplifies running Apache Spark workloads with either serverless execution or fully managed clusters. It allows users to process large-scale data without needing to manage infrastructure, reducing operational complexity. The platform features Lightning Engine, which accelerates Spark performance by up to 4.9 times compared to open-source Spark. It supports data engineering, data science, and machine learning workflows at scale. Integration with Gemini enables AI-powered development, including automated code generation and troubleshooting. The service works seamlessly with open data formats like Apache Iceberg and integrates with tools like BigQuery and Knowledge Catalog. It offers flexible deployment options to suit different workloads and use cases. Overall, it provides a faster, smarter, and more efficient way to run Spark workloads in the cloud.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data engineers, data scientists, ML engineers, and analytics teams seeking to automate complex data, machine learning, pipeline, and BI workflows

Audience

Data engineers, data scientists, and enterprises looking for a scalable, high-performance, and low-maintenance platform to run Apache Spark workloads and modernize data processing pipelines

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Databricks
Founded: 2013
United States
www.databricks.com/product/genie/code

Company Information

Google
Founded: 1998
United States
cloud.google.com/products/managed-service-for-apache-spark

Alternatives

No Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
E-MapReduce

E-MapReduce

Alibaba
Azure HDInsight

Azure HDInsight

Microsoft

Categories

Categories

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Integrations

Ascend
Collibra
Databricks
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud GPUs
Google Cloud Knowledge Catalog
Google Cloud Managed Service for Apache Airflow
Google Cloud Profiler
IBM watsonx.data integration
Openbridge
Pantomath
Privacera
Qubole
SQL
Syntasa
Ternary
Unravel
definity

Integrations

Ascend
Collibra
Databricks
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Confidential VMs
Google Cloud GPUs
Google Cloud Knowledge Catalog
Google Cloud Managed Service for Apache Airflow
Google Cloud Profiler
IBM watsonx.data integration
Openbridge
Pantomath
Privacera
Qubole
SQL
Syntasa
Ternary
Unravel
definity
Claim Databricks Genie Code and update features and information
Claim Databricks Genie Code and update features and information
Claim Google Cloud Managed Service for Apache Spark and update features and information
Claim Google Cloud Managed Service for Apache Spark and update features and information