Azure Data Lake Storage vs. Azure Databricks

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Lake Storage
Score 8.3 out of 10
N/A
Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.N/A
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
Azure Data Lake StorageAzure Databricks
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data Lake StorageAzure 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
Azure Data Lake StorageAzure Databricks
Features
Azure Data Lake StorageAzure Databricks
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Data Lake Storage
-
Ratings
Azure Databricks
7.3
4 Ratings
13% below category average
Connect to Multiple Data Sources00 Ratings6.04 Ratings
Extend Existing Data Sources00 Ratings7.84 Ratings
Automatic Data Format Detection00 Ratings7.44 Ratings
MDM Integration00 Ratings8.03 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Data Lake Storage
-
Ratings
Azure Databricks
6.8
4 Ratings
22% below category average
Visualization00 Ratings6.04 Ratings
Interactive Data Analysis00 Ratings7.63 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Data Lake Storage
-
Ratings
Azure Databricks
8.6
4 Ratings
5% above category average
Interactive Data Cleaning and Enrichment00 Ratings8.24 Ratings
Data Transformations00 Ratings9.04 Ratings
Data Encryption00 Ratings9.44 Ratings
Built-in Processors00 Ratings7.84 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Data Lake Storage
-
Ratings
Azure Databricks
8.0
4 Ratings
5% below category average
Multiple Model Development Languages and Tools00 Ratings6.44 Ratings
Automated Machine Learning00 Ratings8.64 Ratings
Single platform for multiple model development00 Ratings8.44 Ratings
Self-Service Model Delivery00 Ratings8.44 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Data Lake Storage
-
Ratings
Azure Databricks
8.3
4 Ratings
3% below category average
Flexible Model Publishing Options00 Ratings8.04 Ratings
Security, Governance, and Cost Controls00 Ratings8.64 Ratings
Best Alternatives
Azure Data Lake StorageAzure Databricks
Small Businesses
Amazon S3 Glacier
Amazon S3 Glacier
Score 9.0 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Medium-sized Companies
Azure Blob Storage
Azure Blob Storage
Score 9.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Azure Blob Storage
Azure Blob Storage
Score 9.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data Lake StorageAzure Databricks
Likelihood to Recommend
8.2
(13 ratings)
9.8
(3 ratings)
Usability
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Azure Data Lake StorageAzure Databricks
Likelihood to Recommend
Microsoft
Azure Data Lake is an absolutely essential piece of a modern data and analytics platform. Over the past 2 years, our usage of Azure Data Lake as a reporting source has continued to grow and far exceeds more traditional sources like MS SQL, Oracle, etc.
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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.
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Pros
Microsoft
  • Setting up Azure Data Lake Storage account, container is quite easy
  • Access from anywhere and easy maintenance
  • Integration with Azure Data Factory service for end to end pipeline is pretty easy
  • Can store Any form of data (Structured, Unstructured, Semi) in faster manner
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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.
Read full review
Cons
Microsoft
  • study for the certifications also to have them as a reference for work when you have any questions about applying a configuration to the equipment.
  • The Internet interface is simple and easy to use. Capacity is good and it's good that HP continues to innovate with this technology
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Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
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Usability
Microsoft
No answers on this topic
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
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Alternatives Considered
Microsoft
Azure Data Lake Storage from a functionality perspective is a much easier solution to work with. It's implementation from Amazon EMR went smooth, and continued usage is definitely better. However, Amazon EMR was significantly cheaper overall between the high transaction fees and cost of storage due to growth. The two both have their advantages and disadvantages, but the functionality of Azure Data Lake Storage outweighed it's cost
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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.
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Return on Investment
Microsoft
  • Instead of having separate pools of storage for data we are now operating on a single layer platform which has cut down on time spent on maintaining those separate pools.
  • We have had more of an ROI with the scalability as we are able to control costs of storage when need be.
  • We are able to operate in a more streamlined approach as we are able to stay within the Azure suite of products and integrate seamlessly with the rest of the applications in our cloud-based infrastructure
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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
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ScreenShots