TrustRadius

Amazon Bedrock vs. Azure Databricks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Bedrock
Score 9.0 out of 10
N/A
Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.
$0
Price for 1,000 input or $0.0004 for 1000 output tokens
Azure Databricks
Score 8.6 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build 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. The solution includes autoscaling and auto-termination to improve…N/A
Pricing
Amazon BedrockAzure Databricks
Editions & Modules
Amazon Titan models- Titan Text – Lite
$0.0003
Price for 1,000 input or $0.0004 for 1000 output tokens
Cohere models - Command Light
$0.0003
Price for 1,000 input
Cohere models - Command Light
$0.0006
Price for 1,000 output
Meta model - Llama 2 Chat (13B)
$0.00075
Price for 1,000 input
Meta model - Llama 2 Chat (13B)
$0.001
Price for 1,000 output
Amazon Titan models- Titan Text – Express
$0.0013
Price for 1,000 input tokens or $0.0017 for 1000 output tokens
Cohere models - Command
$0.0015
Price for 1,000 inputtokens
Anthropic models - Claude Instant
$0.00163
Price for 1,000 input tokens
Cohere models - Command
$0.0020
Price for 1,000 output
Anthropic models - Claude Instant
$0.00551
Price for 1,000 output tokens
Anthropic models - Claude
$0.01102
Price for 1,000 input tokens
AI21 models - Jurassic-2 Mid
$0.0125
Price for 1,000 input or output tokens
AI21 models - Jurassic-2 Ultra
$0.0188
Price for 1,000 input or output tokens
Anthropic models - Claude
$0.03268
Price for 1,000 output tokens
Stability AI Model - SDXL1.0
$49.86
per hour (one month commitment)
No answers on this topic
Offerings
Pricing Offerings
Amazon BedrockAzure Databricks
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Amazon BedrockAzure Databricks
Considered Both Products
Amazon Bedrock

No answer on this topic

Azure Databricks
Verified User
Anonymous
Chose Azure Databricks
When compared with Snowflake, Azure Databricks have an edge over the integration with ML Flow. ETL in Azure Databricks allows high processing of data compared to Snowflake. Data sharing is better with Snowflake. When compared with Datasphere, integration of Databricks with …
Verified User
Anonymous
Chose Azure Databricks
I have found Azure Databricks to be much better than Snowflake for handling bigger, diverse data types. Snowflake is much simpler and better for smaller warehousing. The real time processing is much better in Azure Databricks and we have much more language options. Snowflake is …
Verified User
Anonymous
Chose Azure Databricks
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!"
Far ahead of the competition, the delta lakehouse …
Features
Amazon BedrockAzure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Amazon Bedrock
-
Ratings
Azure Databricks
7.2
Ratings
15% below category average
Connect to Multiple Data Sources00 Ratings6.00 Ratings
Extend Existing Data Sources00 Ratings7.70 Ratings
Automatic Data Format Detection00 Ratings7.20 Ratings
MDM Integration00 Ratings8.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Amazon Bedrock
-
Ratings
Azure Databricks
6.9
Ratings
20% below category average
Visualization00 Ratings6.00 Ratings
Interactive Data Analysis00 Ratings7.80 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Amazon Bedrock
-
Ratings
Azure Databricks
8.7
Ratings
6% above category average
Interactive Data Cleaning and Enrichment00 Ratings8.30 Ratings
Data Transformations00 Ratings9.00 Ratings
Data Encryption00 Ratings9.40 Ratings
Built-in Processors00 Ratings7.90 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Amazon Bedrock
-
Ratings
Azure Databricks
7.9
Ratings
6% below category average
Multiple Model Development Languages and Tools00 Ratings6.20 Ratings
Automated Machine Learning00 Ratings8.60 Ratings
Single platform for multiple model development00 Ratings8.50 Ratings
Self-Service Model Delivery00 Ratings8.50 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Amazon Bedrock
-
Ratings
Azure Databricks
8.3
Ratings
3% below category average
Flexible Model Publishing Options00 Ratings8.00 Ratings
Security, Governance, and Cost Controls00 Ratings8.60 Ratings
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Medium-sized Companies
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User Ratings
Amazon BedrockAzure Databricks
Likelihood to Recommend
-
(0 ratings)
7.8
(0 ratings)
Usability
-
(0 ratings)
7.6
(0 ratings)
User Testimonials
Amazon BedrockAzure Databricks
Likelihood to Recommend
No answers on this topic
Suppose you have multiple data sources and you want to bring the data into one place, transform it and make it into a data model. Azure Databricks is a perfectly suited solution for this. Leverage spark JDBC or any external cloud based tool (ADG, AWS Glue) to bring the data into a cloud storage. From there, Azure Databricks can handle everything. The data can be ingested by Azure Databricks into a 3 Layer architecture based on the delta lake tables. The first layer, raw layer, has the raw as is data from source. The enrich layer, acts as the cleaning and filtering layer to clean the data at an individual table level. The gold layer, is the final layer responsible for a data model. This acts as the serving layer for BI For BI needs, if you need simple dashboards, you can leverage Azure Databricks BI to create them with a simple click! For complex dashboards, just like any sql db, you can hook it with a simple JDBC string to any external BI tool.
Verified User
Anonymous
Read full review
Pros
No answers on this topic
  • Unity Catalog
  • Data Federation in Lakehouse Architecture
  • Integration of Mosaic AI in the SQL Layer
Verified User
Anonymous
Read full review
Cons
No answers on this topic
  • Their pipeline workflow orchestration is pretty primitive. Lacks some common features
  • Workspace UI and navigation requires steep learning curve
  • Personally, I am not fond of their autosave feature. Its dangerous for production level notebooks scripts
Pranshu Gupta | TrustRadius Reviewer
Pranshu Gupta
Associate Data Engineer
Read full review
Usability
No answers on this topic
Great for what we use day to day and does what we need it to do. Cost management is not fully developed across the UX and gets expensive very quickly for developing projects. Integrated very well with our Microsoft stack and can be worked on collaboratively which works well for us.
Verified User
Anonymous
Read full review
Alternatives Considered
No answers on this topic
I have found Azure Databricks to be much better than Snowflake for handling bigger, diverse data types. Snowflake is much simpler and better for smaller warehousing. The real time processing is much better in Azure Databricks and we have much more language options. Snowflake is more expensive but simpler to use. Both are great for different needs.
Verified User
Anonymous
Read full review
Return on Investment
No answers on this topic
  • Helped reduce time for collecting data
  • Reduced cost in maintaining multiple data sources
  • Access for multiple users and management of users/data in a single platform
Verified User
Anonymous
Read full review
ScreenShots