TrustRadius

Azure Databricks vs. CitiusTech Medictiv

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
CitiusTech Medictiv
Score 0.0 out of 10
N/A
CitiusTech headquartered in Princeton offers the Medictive machine learning and predictive analytics engine for health systems, payers, ACOs, life science entities and others, supplying artificial intelligence approaches to analysis.N/A
Pricing
Azure DatabricksCitiusTech Medictiv
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksCitiusTech Medictiv
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
Azure DatabricksCitiusTech Medictiv
Considered Both Products
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 …
CitiusTech Medictiv

No answer on this topic

Features
Azure DatabricksCitiusTech Medictiv
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
7.2
Ratings
15% below category average
CitiusTech Medictiv
-
Ratings
Connect to Multiple Data Sources6.00 Ratings00 Ratings
Extend Existing Data Sources7.70 Ratings00 Ratings
Automatic Data Format Detection7.30 Ratings00 Ratings
MDM Integration8.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.9
Ratings
20% below category average
CitiusTech Medictiv
-
Ratings
Visualization6.00 Ratings00 Ratings
Interactive Data Analysis7.70 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.7
Ratings
6% above category average
CitiusTech Medictiv
-
Ratings
Interactive Data Cleaning and Enrichment8.30 Ratings00 Ratings
Data Transformations9.00 Ratings00 Ratings
Data Encryption9.40 Ratings00 Ratings
Built-in Processors7.90 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
7.9
Ratings
6% below category average
CitiusTech Medictiv
-
Ratings
Multiple Model Development Languages and Tools6.30 Ratings00 Ratings
Automated Machine Learning8.60 Ratings00 Ratings
Single platform for multiple model development8.40 Ratings00 Ratings
Self-Service Model Delivery8.40 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.3
Ratings
3% below category average
CitiusTech Medictiv
-
Ratings
Flexible Model Publishing Options8.00 Ratings00 Ratings
Security, Governance, and Cost Controls8.60 Ratings00 Ratings
Best Alternatives
Azure DatabricksCitiusTech Medictiv
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.1 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 DatabricksCitiusTech Medictiv
Likelihood to Recommend
7.8
(0 ratings)
-
(0 ratings)
Usability
7.6
(0 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksCitiusTech Medictiv
Likelihood to Recommend
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
No answers on this topic
Pros
  • Unity Catalog
  • Data Federation in Lakehouse Architecture
  • Integration of Mosaic AI in the SQL Layer
Verified User
Anonymous
Read full review
No answers on this topic
Cons
  • 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
No answers on this topic
Usability
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
No answers on this topic
Alternatives Considered
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
No answers on this topic
Return on Investment
  • 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
No answers on this topic
ScreenShots