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Azure Databricks vs. MLReef

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
MLReef
Score 9.1 out of 10
Enterprise companies (1,001+ employees)
MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex data tasks with seamless involvable domain experts - Higher acceptance of deploye models ad development is a joint task Q: What is Distributed ML…N/A
Pricing
Azure DatabricksMLReef
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksMLReef
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Community Pulse
Azure DatabricksMLReef
Features
Azure DatabricksMLReef
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
7.2
4 Ratings
15% below category average
MLReef
-
Ratings
Connect to Multiple Data Sources6.04 Ratings00 Ratings
Extend Existing Data Sources7.64 Ratings00 Ratings
Automatic Data Format Detection7.24 Ratings00 Ratings
MDM Integration8.03 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.9
4 Ratings
20% below category average
MLReef
-
Ratings
Visualization6.04 Ratings00 Ratings
Interactive Data Analysis7.83 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.7
4 Ratings
6% above category average
MLReef
-
Ratings
Interactive Data Cleaning and Enrichment8.44 Ratings00 Ratings
Data Transformations9.04 Ratings00 Ratings
Data Encryption9.54 Ratings00 Ratings
Built-in Processors7.94 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
7.9
4 Ratings
6% below category average
MLReef
-
Ratings
Multiple Model Development Languages and Tools6.24 Ratings00 Ratings
Automated Machine Learning8.54 Ratings00 Ratings
Single platform for multiple model development8.54 Ratings00 Ratings
Self-Service Model Delivery8.54 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
MLReef
-
Ratings
Flexible Model Publishing Options8.04 Ratings00 Ratings
Security, Governance, and Cost Controls8.64 Ratings00 Ratings
Best Alternatives
Azure DatabricksMLReef
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.6 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 DatabricksMLReef
Likelihood to Recommend
7.7
(5 ratings)
9.1
(1 ratings)
Usability
7.5
(3 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksMLReef
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
MLReef
Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
HH
Hans-Michael Hauser
Founder & CEO
Read full review
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
MLReef
  • Helps us to take on more client projects
  • Can be used by data analysts as well as casual users
HH
Hans-Michael Hauser
Founder & CEO
Read full review
Cons
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
Read full review
MLReef
  • Out of the box support for major cloud vendors
HH
Hans-Michael Hauser
Founder & CEO
Read full review
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
MLReef
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
MLReef
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
MLReef
  • We can handle 4 to 6 times more projects at the same time with our team
  • We stay engaged with our customers well beyond the project duration
HH
Hans-Michael Hauser
Founder & CEO
Read full review
ScreenShots

MLReef Screenshots

Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elementsScreenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)Screenshot of Full version control and transparent experiment trackingScreenshot of Repositories to manage your scripts (SCM) and data (pipelines)Screenshot of Manage your team, groups and projects with access rights and granular permissions