50 Ratings
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Score 8.7 out of 100
227 Ratings
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Score 8.4 out of 100

Feature Set Ratings

    Database-as-a-Service

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    9.0

    Azure SQL Database

    90%
    Azure SQL Database ranks higher in 6/6 features

    Automatic software patching

    N/A
    0 Ratings
    8.9
    89%
    26 Ratings

    Database scalability

    N/A
    0 Ratings
    9.4
    94%
    28 Ratings

    Automated backups

    N/A
    0 Ratings
    9.0
    90%
    28 Ratings

    Database security provisions

    N/A
    0 Ratings
    9.1
    91%
    28 Ratings

    Monitoring and metrics

    N/A
    0 Ratings
    8.6
    86%
    27 Ratings

    Automatic host deployment

    N/A
    0 Ratings
    9.1
    91%
    23 Ratings

    Attribute Ratings

    • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Likelihood to Recommend
    • Azure SQL Database is rated higher in 1 area: Support Rating

    Likelihood to Recommend

    8.7

    Databricks Lakehouse Platform

    87%
    15 Ratings
    8.6

    Azure SQL Database

    86%
    28 Ratings

    Likelihood to Renew

    Databricks Lakehouse Platform

    N/A
    0 Ratings
    8.0

    Azure SQL Database

    80%
    1 Rating

    Usability

    9.0

    Databricks Lakehouse Platform

    90%
    3 Ratings

    Azure SQL Database

    N/A
    0 Ratings

    Support Rating

    7.5

    Databricks Lakehouse Platform

    75%
    2 Ratings
    9.0

    Azure SQL Database

    90%
    10 Ratings

    Contract Terms and Pricing Model

    8.0

    Databricks Lakehouse Platform

    80%
    1 Rating

    Azure SQL Database

    N/A
    0 Ratings

    Professional Services

    10.0

    Databricks Lakehouse Platform

    100%
    1 Rating

    Azure SQL Database

    N/A
    0 Ratings

    Likelihood to Recommend

    Databricks Lakehouse Platform

    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.
    Anonymous | TrustRadius Reviewer

    Azure SQL Database

    Your upcoming app can be built faster on a fully managed SQL database and can be moved into Azure with a few to no application code changes. Flexible and responsive server less computing and Hyperscale storage can cope with your changing requirements and one of the main benefits is the reduction in costs, which is noticeable.
    Niloofar Keshvari Nia | TrustRadius Reviewer

    Pros

    Databricks Lakehouse Platform

    • 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
    Anonymous | TrustRadius Reviewer

    Azure SQL Database

    • Maintenance is always an issue, so using a cloud solution saves a lot of trouble.
    • On premise solutions always suffer from fragmented implementations here and there, where several "dba's" keep track of security and maintenance. With a cloud database it's much easier to keep a central overview.
    • Security options in SQL database are next level... data masking, hiding sensitive data where always neglected on premise, whereas you'll get this automatically in the cloud.
    Anonymous | TrustRadius Reviewer

    Cons

    Databricks Lakehouse Platform

    • Better Localized Testing
    • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
    • Graphing Support went non-existent; when it was one of their compelling general engine.
    Anonymous | TrustRadius Reviewer

    Azure SQL Database

    • One needs to be aware that some T-SQL features are simply not available.
    • The programmatic access to server, trace flags, hardware from within Azure SQL Database is taken away (for a good reason).
    • No SQL Agent so your jobs need to be orchestrated differently.
    • The maximum concurrent logins maybe an unexpected problem.
    • Sudden disconnects.
    • The developers and admin must study the capacity and tier usage limits https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits otherwise some errors or even transaction aborts never seen before can occur.
    • Only one Latin Collation choice.
    • There is no way to debug T-SQL ( a big drawback in my point of view).
    Arthur Zubarev | TrustRadius Reviewer

    Pricing Details

    Databricks Lakehouse Platform

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $0.07 Per DBU

    Databricks Lakehouse Platform Editions & Modules

    Edition
    Standard$0.071
    Premium$0.101
    Enterprise$0.131
    1. Per DBU
    Additional Pricing Details

    Azure SQL Database

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $0.5,044 Per Hour

    Azure SQL Database Editions & Modules

    Edition
    2 vCORE$0.50441
    6 vCORE$1.51311
    10 vCORE$2.521
    1. Per Hour
    Additional Pricing Details

    Likelihood to Renew

    Databricks Lakehouse Platform

    No score
    No answers yet
    No answers on this topic

    Azure SQL Database

    Azure SQL Database 8.0
    Based on 1 answer
    This is best solution as a DBA one could expect from a service provider and as a cloud service, it removes all your hassles.
    Zimran Azim | TrustRadius Reviewer

    Usability

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 9.0
    Based on 3 answers
    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
    Anonymous | TrustRadius Reviewer

    Azure SQL Database

    No score
    No answers yet
    No answers on this topic

    Support Rating

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 7.5
    Based on 2 answers
    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.
    Jonatan Bouchard | TrustRadius Reviewer

    Azure SQL Database

    Azure SQL Database 9.0
    Based on 10 answers
    We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
    Anonymous | TrustRadius Reviewer

    Alternatives Considered

    Databricks Lakehouse Platform

    Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
    Anonymous | TrustRadius Reviewer

    Azure SQL Database

    We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord. Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure subscription. Azure was just priced right, easy to migrate to and plenty of resources to hire to support/maintain it. Very easy to learn, too.
    Anonymous | TrustRadius Reviewer

    Contract Terms and Pricing Model

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 8.0
    Based on 1 answer
    The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
    Jonatan Bouchard | TrustRadius Reviewer

    Azure SQL Database

    No score
    No answers yet
    No answers on this topic

    Professional Services

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 10.0
    Based on 1 answer
    Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
    Jonatan Bouchard | TrustRadius Reviewer

    Azure SQL Database

    No score
    No answers yet
    No answers on this topic

    Return on Investment

    Databricks Lakehouse Platform

    • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
    Ann Le | TrustRadius Reviewer

    Azure SQL Database

    • Perfect for small and medium databases, being very cost effective.
    • As a Platform as a Service, there is no concern about patches, upgrades and end of life.
    • Be aware of security and network capabilities. The service cannot run in the VNET as Azure Virtual Machines do.
    Anonymous | TrustRadius Reviewer

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