What users are saying about
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43 Ratings
1 Rating

Databricks Lakehouse Platform

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43 Ratings
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Score 8.6 out of 100
1 Rating
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Score 10 out of 100

Likelihood to Recommend

Databricks Lakehouse Platform

[Databricks Lakehouse Platform (Unified Analytics Platform)] makes the power of Spark accessible. Databricks's proactive and customer-centric service. It is a highly adaptable solution for data engineering, data science, and AI. Load times are not consistent and no ability to restrict data access to specific users or groups.
Gilrod Maerina | TrustRadius Reviewer

Kortical

Kortical is really widely applicable to many use cases, although it doesn't handle images or video it is great to help you build really great ML models without needing to plan ahead what you are going to try, you let the platform build you the best model. It is suited to beginner and more advanced data scientists as you can edit the code to narrow the search space which makes model creation more you build it without AutoML. Hosting the model behind an API that is ready to go is great as it saves so much time vs doing that dev work from scratch
Anonymous | 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

Kortical

  • The NLP models results were much better than the ones that we did outside of the platform.
  • It is really easy and quick to build a good model with a lot of the manual boring tasks all done automatically like one hot encoding, etc.
  • Kortical shows the features and their importance for any model type as part of the platform which is great for understanding the models.
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

Kortical

  • It would be ideal to have Jupyter built into the platform, they say it is coming.
  • Also while it is easy to use, at the start it would have been helpful to have more help guides.
Anonymous | TrustRadius Reviewer

Usability

Databricks Lakehouse Platform

Databricks Lakehouse Platform 8.0
Based on 2 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

Kortical

No score
No answers yet
No answers on this topic

Support Rating

Databricks Lakehouse Platform

Databricks Lakehouse Platform 5.0
Based on 1 answer
I have not had the need of support from Databricks [Lakehouse Platform] team itself to the date
Anonymous | TrustRadius Reviewer

Kortical

Kortical 9.0
Based on 1 answer
Their support is great as we use Slack and we have our own channel and they always respond really quickly. Data Science support is available to help unblock you as well as dev support as we're setting up the data feeds. It would be great if there were more FAQ or self-help guides in the platform but the personal touch is also really appreciated and probably gets us there quicker anyway.
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

Kortical

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

Kortical

  • ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in.
  • The results mean that we can automate so much more than our previous model so that is key to the positive ROI.
  • The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML.
Anonymous | TrustRadius Reviewer

Screenshots

Pricing Details

Databricks Lakehouse Platform

General

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

Databricks Lakehouse Platform Editions & Modules

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

Kortical

General

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

Kortical Editions & Modules

Additional Pricing Details

Add comparison