Databricks Data Intelligence Platform vs. Microsoft SQL Server

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Databricks Data Intelligence Platform
Score 8.3 out of 10
N/A
Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…
$0.07
Per DBU
Microsoft SQL Server
Score 8.7 out of 10
N/A
Microsoft SQL Server is a relational database.
$1,418
Per License
Pricing
Databricks Data Intelligence PlatformMicrosoft SQL Server
Editions & Modules
Standard
$0.07
Per DBU
Premium
$0.10
Per DBU
Enterprise
$0.13
Per DBU
Subscription
$1,418.00
Per License
Enterprise
$13,748.00
Per License
Offerings
Pricing Offerings
Databricks Data Intelligence PlatformMicrosoft SQL Server
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
Databricks Data Intelligence PlatformMicrosoft SQL Server
Top Pros
Top Cons
Best Alternatives
Databricks Data Intelligence PlatformMicrosoft SQL Server
Small Businesses

No answers on this topic

SingleStore
SingleStore
Score 9.8 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Enterprises
Snowflake
Snowflake
Score 9.0 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Databricks Data Intelligence PlatformMicrosoft SQL Server
Likelihood to Recommend
8.4
(17 ratings)
9.7
(96 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(6 ratings)
Usability
9.4
(3 ratings)
9.9
(10 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
8.6
(2 ratings)
7.9
(25 ratings)
In-Person Training
-
(0 ratings)
9.0
(1 ratings)
Online Training
-
(0 ratings)
9.0
(1 ratings)
Implementation Rating
-
(0 ratings)
9.0
(5 ratings)
Configurability
-
(0 ratings)
10.0
(1 ratings)
Contract Terms and Pricing Model
8.0
(1 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
9.0
(1 ratings)
Product Scalability
-
(0 ratings)
9.0
(1 ratings)
Professional Services
10.0
(1 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
9.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Databricks Data Intelligence PlatformMicrosoft SQL Server
Likelihood to Recommend
Databricks
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
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Microsoft
Microsoft SQL Server is a great RDBMS and meets all of our requirements. If you need a stable DB platform to support your line of a business application you'll be well served. Licensing costs are far cheaper, more portable and a lot more user friendly than Oracle. Product support and security patches from Microsoft are strong.
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Pros
Databricks
  • Process raw data in One Lake (S3) env to relational tables and views
  • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
  • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
  • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
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Microsoft
  • Easy to configure and use with Visual Studio and Dot Net
  • Easy integration with MSBI to perform data analysis
  • Data Security
  • Easy to understand and use
  • Very easy to export database and tables in the form of SQL query or a script
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Cons
Databricks
  • Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
  • Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
  • Visualization in MLFLOW experiment can be enhanced
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Microsoft
  • The import/export process can be tricky to follow with lots of steps and could be better for importing flat files
  • Obtaining help from Microsoft is cumbersome and often other internet sources are better and quicker
  • The documentation is not great and again it's generally better to obtain help elsewhere if needed
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Likelihood to Renew
Databricks
No answers on this topic
Microsoft
We understand that the Microsoft SQL Server will continue to advance, offering the same robust and reliable platform while adding new features that enable us, as a software center, to create a superior product. That provides excellent performance while reducing the hardware requirements and the total cost of ownership of our solution.
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Usability
Databricks
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

in terms of graph generation and interaction it could improve their UI and UX
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Microsoft
SQL Server mostly 'just works' or generates error messages to help you sort out the trouble. You can usually count on the product to get the job done and keep an eye on your potential mistakes. Interaction with other Microsoft products makes operating as a Windows user pretty straight forward. Digging through the multitude of dialogs and wizards can be a pain, but the answer is usually there somewhere.
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Reliability and Availability
Databricks
No answers on this topic
Microsoft
Its does not have outages.
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Performance
Databricks
No answers on this topic
Microsoft
SSAS data cubes may some time slow down your Excel reports.
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Support Rating
Databricks
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
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Microsoft
We managed to handle most of our problems by looking into Microsoft's official documentation that has everything explained and almost every function has an example that illustrates in detail how a particular functionality works. Just like PowerShell has the ability to show you an example of how some cmdlet works, that is the case also here, and in my opinion, it is a very good practice and I like it.
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In-Person Training
Databricks
No answers on this topic
Microsoft
It was good
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Online Training
Databricks
No answers on this topic
Microsoft
very hands on and detailed training
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Implementation Rating
Databricks
No answers on this topic
Microsoft
Other than SQL taking quite a bit of time to actually install there are no problems with installation. Even on hardware that has good performance SQL can still take close to an hour to install a typical server with management and reporting services.
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Alternatives Considered
Databricks
Compared to Synapse & Snowflake, Databricks provides a much better development experience, and deeper configuration capabilities. It works out-of-the-box but still allows you intricate customisation of the environment. I find Databricks very flexible and resilient at the same time while Synapse and Snowflake feel more limited in terms of configuration and connectivity to external tools.
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Microsoft
[Microsoft] SQL Server has a much better community and professional support and is overall just a more reliable system with Microsoft behind it. I've used MySQL in the past and SQL Server has just become more comfortable for me and is my go to RDBMS.
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Scalability
Databricks
No answers on this topic
Microsoft
SQL server does handle growing demands of a mid sized company.
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Return on Investment
Databricks
  • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
  • DB has the ability to terminate/time out instances which helps manage cost.
  • The ability to quickly access typical hard to build data scenarios easily is a strength.
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Microsoft
  • Increased accuracy - We went from multiple users having different versions of an Excel spreadsheet to a single source of truth for our reporting.
  • Increased Efficiency - We can now generate reports at any time from a single source rather than multiple users spending their time collating data and generating reports.
  • Improved Security - Enterprise level security on a dedicated server rather than financial files on multiple laptop hard drives.
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