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About

Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).

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

Companies in need of a big data solution

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

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

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

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Company Information

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

Alternatives

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
Amazon EMR

Amazon EMR

Amazon
E-MapReduce

E-MapReduce

Alibaba
Amazon EMR

Amazon EMR

Amazon
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

Openbridge
definity
Azure Confidential Computing
Chalk
Data Commerce Cloud
Datafold
Evvox
Google Cloud GPUs
LOGIQ
Mage Platform
Mage Sensitive Data Discovery
Medical LLM
Microsoft Azure
Microsoft Intelligent Data Platform
Pepperdata
Privacera
QuerySurge
Replenit
Signara
Unravel

Integrations

Openbridge
definity
Azure Confidential Computing
Chalk
Data Commerce Cloud
Datafold
Evvox
Google Cloud GPUs
LOGIQ
Mage Platform
Mage Sensitive Data Discovery
Medical LLM
Microsoft Azure
Microsoft Intelligent Data Platform
Pepperdata
Privacera
QuerySurge
Replenit
Signara
Unravel
Claim Azure Databricks and update features and information
Claim Azure Databricks 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