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Unified Still Federated Lakehouse Platform
What do you like best about the product?
A great platform to focus on industry challenges around data and ai. Good part is solutions for those challenges are quickly built, tested and released. Participation during private preview also make sure that these solutions are fit for purpose to industry challenges.
Best features floats around combining data lake and datawarehouse capability to help reduce cost and deliver faster with improved security
Best features floats around combining data lake and datawarehouse capability to help reduce cost and deliver faster with improved security
What do you dislike about the product?
Its integration with native cloud services is still weak, out of the box integration & use with org identify federation is still not mature. Along with capability to integrate with enterprise catalog and buillding a unified metric system for organization.
What problems is the product solving and how is that benefiting you?
Unified view for all our data sources, easy sharing of data with our product team, easy platform for data owners to democratise their data. and central place to apply security and governance.
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It is a one stop solution to collaborate for all Data Engineering and Data Science activities
What do you like best about the product?
Collaboration,Feature store,MLOps,scheduling
What do you dislike about the product?
Don't have a way to put dependencies between workflows
What problems is the product solving and how is that benefiting you?
It has helped me build the datalake for business intelligence usecases
One of the best cloud data warehousing solution
What do you like best about the product?
Databricks Lakehouse Platform impressively unifies data lakes and data warehouses, empowering seamless data access and analysis. Its Apache Spark-powered engine ensures lightning-fast processing, while advanced analytics and machine learning capabilities drive data-driven insights. With robust security, auto-scaling, and managed services, Databricks simplifies data management and boosts collaboration among data teams. An extensive range of integrations further enhances its versatility, making it a game-changer for data-driven organizations.
What do you dislike about the product?
Learning curve - for users unfamiliar with Apache Spark there may be a learning curve to fully utilize platform capabilities.
Complexity - managing and optimizing large-scale data workflows can be comples, requiring skilled data engineers and administrators,
Sometimes new features are not fully tested, which may cause some problems in the future - but honestly it's not a big disadvantage.
Complexity - managing and optimizing large-scale data workflows can be comples, requiring skilled data engineers and administrators,
Sometimes new features are not fully tested, which may cause some problems in the future - but honestly it's not a big disadvantage.
What problems is the product solving and how is that benefiting you?
Keeping everything as all in one product for creating ETL pipelines and data governance solutions. Also it lets you simply scale your workload if it's really needed.
Easy integration for Data from Marketplaces
What do you like best about the product?
- Easily integrate data from the marketplace into your own ML models and data pipelines
- Open source nature allows for easy integration into existing tools
- Open source nature allows for easy integration into existing tools
What do you dislike about the product?
- Can be difficult to configure clusters for cost and performance optimizations
What problems is the product solving and how is that benefiting you?
We are able to process Billions of records of data each day. This would not have been possible without the Databricks platform.
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.
Great product
I've been using Databricks for over a year and it's really easy to work with files sitting on the Data Lake and building the "data warehouse" right there, with the possibility to do analysis and ML within the same platform.
Databricks is the user Friendly
What do you like best about the product?
Everything is integrated into one tool. New features are very helpful. Optimization looks promising.
What do you dislike about the product?
We can leverage new features to work out any flaws.
What problems is the product solving and how is that benefiting you?
Processing huge files.
Always excited about Databricks
What do you like best about the product?
The upsides of Databricks are it accelerates the ML/AI for me.
What do you dislike about the product?
I like all everything about Databricks and dislike none.
What problems is the product solving and how is that benefiting you?
Especially accelerating analytics, curation of data, compatibility with Spark.
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
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