Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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An amazing data analytics platform!
What do you like best about the product?
The Databricks Lakehouse Platform's seamless integration of data lakes and data warehouses, which offers the best of both worlds for data analytics and processing, is its most useful feature. Users in a variety of jobs are empowered by the platform's strong and intuitive user interface, which also promotes collaboration and increases output. Its rich built-in analytics and machine learning capabilities allow for sophisticated modelling and complex data transformations for the extraction of insightful information. The platform's scalability guarantees effective management of complex data processing operations. And finally, its strong data security and governance features provide users confidence when handling sensitive data.
What do you dislike about the product?
One area for improvement with the Databricks Lakehouse Platform is the occasional challenge faced when troubleshooting certain issues, where enhanced support options or an expanded knowledge base would be beneficial.
What problems is the product solving and how is that benefiting you?
The Databricks Lakehouse Platform tackles the challenge of seamlessly integrating data lakes and data warehouses, allowing me to effortlessly manage and analyze vast amounts of data. It has been a game-changer, streamlining my workflows, boosting productivity, and enabling me to extract valuable insights from diverse data sources. With its scalability and built-in analytics capabilities, I can optimize data processing and unlock actionable intelligence with ease.
Getting Even Simpler
What do you like best about the product?
With each new iteration and improvement, things like streaming are getting even easier. DLT, lakehouse AI and other upcoming tech will be making things even easier in the future.
What do you dislike about the product?
The number of features behind a private preview. It would be better if we could all have access to the private preview items by just going into the public but saying that they're in beta.
What problems is the product solving and how is that benefiting you?
Streaming and the constant evolution of the product just makes things simpler as the product progresses.
Experience with Delta tables
What do you like best about the product?
Governance, offerings like Unity catalogue. Some of the future offerings like Lakehouse AI seem very promising. Would be keen to learn more about the platform and use it
What do you dislike about the product?
Nothing at this point. The concepts seem great. I would love to get more hands on experience on the same and use it for production implementations and form a better opinion
What problems is the product solving and how is that benefiting you?
Governance and being able to catalogue and inventory the data. The cost optimization options are great as well and can bring down the overall spend. Data harmonization is another area
I JUST LOVE IT
What do you like best about the product?
Handling massive data with ease, had to struggle a little bit with data coming from azure and aws cloud.
What do you dislike about the product?
Need more support materials to troubleshoot things,
What problems is the product solving and how is that benefiting you?
Massive data handling
Excelent Data management platform
What do you like best about the product?
Very user friendly and easy to understand
What do you dislike about the product?
Lots of moving parts and hidden features
What problems is the product solving and how is that benefiting you?
Moved all our legacy data from on-prem servers to the cloud. More reliable and easy to scale
Data Scientist
What do you like best about the product?
The SQL workspace has improved a lot and many of the new features are very applicable to data analytic work. The machine learning module from MLflow provides a great pipeline framework for data scientist.
What do you dislike about the product?
Setting up the work environment is still challenging. Some of the UI component can be improved, for example, I don't really like the way how the directories are displayed on the platform now because often time I cannot see the full name of the folder or files.
What problems is the product solving and how is that benefiting you?
We need cloud compute to complete some of the ML and statistical model training, which is one of the major reasons we are migrating to Databricks. The way how big data is handled and managed is the key to our company success.
future of the warehouse
What do you like best about the product?
purquet format and its very flexible compare thotraditional data warehouse
What do you dislike about the product?
It is a bit learning curve to get used to it. Its harder to connect the dots.
What problems is the product solving and how is that benefiting you?
less moving the data meaning less pipelines and less errors
I learned about lots of new features and it was really fun
What do you like best about the product?
It includes the functionality of traditional data warehouse.
What do you dislike about the product?
I cannot think of any downsides. It checks all the boxes for what I am looking for.
What problems is the product solving and how is that benefiting you?
It provides a one-stop shop for structured and unstructured data and, at the same time, gives users traditional RDBMS capabilities
It is a great solution to centralized your enterprise data collection and build application on top.
What do you like best about the product?
Single platform for all your needs
1. Workflow
2. Unity catalog
3. Cluster
4. Reporting
5. Apps
1. Workflow
2. Unity catalog
3. Cluster
4. Reporting
5. Apps
What do you dislike about the product?
DLT limitations
Some features are coming slow
Some features are coming slow
What problems is the product solving and how is that benefiting you?
Faster and powerful data warehouse, unified data governence , delta sharing , AI , more productivity, dashboards
I have 6 months of experience in using databricks products
What do you like best about the product?
1. Machine learning end to end support
2. Big data democration and collaboration
3. Detailed documentation
4. Good good security
2. Big data democration and collaboration
3. Detailed documentation
4. Good good security
What do you dislike about the product?
1. Steep learning curve
2. High cost to use
2. High cost to use
What problems is the product solving and how is that benefiting you?
We migrate our existing big data pipeline from AWS EWR to lakehouse and get rid of the dependency on the gluecontext, which is performing really well when running on the Lakehouse platform.
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