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Azure Databricks vs. TetraScience

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.5 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
TetraScience
Score 0.0 out of 10
N/A
TetraScience is an R&D Data Cloud company headquartered in Boston. The Tetra R&D Data Cloud provides life sciences companies with the flexibility, scalability, and data-centric capabilities to enable easy access to centralized, harmonized, and actionable scientific data and is actively deployed across enterprise pharma and biotech organizations. As an open platform, TetraScience boasts a large integration network of lab instruments, informatics applications, CRO/CDMOs, analytics, and data…N/A
Pricing
Azure DatabricksTetraScience
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksTetraScience
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
Features
Azure DatabricksTetraScience
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
7.3
4 Ratings
13% below category average
TetraScience
-
Ratings
Connect to Multiple Data Sources6.14 Ratings00 Ratings
Extend Existing Data Sources7.84 Ratings00 Ratings
Automatic Data Format Detection7.44 Ratings00 Ratings
MDM Integration8.03 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.8
4 Ratings
22% below category average
TetraScience
-
Ratings
Visualization6.04 Ratings00 Ratings
Interactive Data Analysis7.63 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.6
4 Ratings
5% above category average
TetraScience
-
Ratings
Interactive Data Cleaning and Enrichment8.24 Ratings00 Ratings
Data Transformations9.04 Ratings00 Ratings
Data Encryption9.44 Ratings00 Ratings
Built-in Processors7.84 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.0
4 Ratings
5% below category average
TetraScience
-
Ratings
Multiple Model Development Languages and Tools6.54 Ratings00 Ratings
Automated Machine Learning8.64 Ratings00 Ratings
Single platform for multiple model development8.44 Ratings00 Ratings
Self-Service Model Delivery8.44 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.3
4 Ratings
3% below category average
TetraScience
-
Ratings
Flexible Model Publishing Options8.04 Ratings00 Ratings
Security, Governance, and Cost Controls8.64 Ratings00 Ratings
Best Alternatives
Azure DatabricksTetraScience
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure DatabricksTetraScience
Likelihood to Recommend
9.7
(3 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksTetraScience
Likelihood to Recommend
Microsoft
Centralised notebooks are out directly into production. This can lead to poorly engineered code. It is very good for fast queries and our data team are always able to provide what we ask for. It is a big cost to our business so it is important it runs efficiently and returns on our investment.
Verified User
Anonymous
Read full review
TetraScience
No answers on this topic
Pros
Microsoft
  • Data Processing and Transformations based on Spark
  • Delta Lakehouse when clubbed with an external cloud storage
  • Governance using Unity Catalog to unify IAM
  • Delta Live Tables is a product, which although relatively newer, has a great potential with the visuals of a pipeline.
Verified User
Anonymous
Read full review
TetraScience
No answers on this topic
Cons
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
Read full review
TetraScience
No answers on this topic
Usability
Microsoft
The developers are able to switch between Python and SQL in the Notebook which allows the collaboration of SQL analyst and Data scientist. The integration of Mosaic AI allows users to write complex codes in natural languages. Unity catalog has centralized the security and governance features and simplified the process of maintaining it
Verified User
Anonymous
Read full review
TetraScience
No answers on this topic
Alternatives Considered
Microsoft
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
TetraScience
No answers on this topic
Return on Investment
Microsoft
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
Verified User
Anonymous
Read full review
TetraScience
No answers on this topic
ScreenShots