External reviews
External reviews are not included in the AWS star rating for the product.
Data + AI should be unified
What do you like best about the product?
Before exploring Databricks I had worked on many tools & their integration to make Data flow simpler but Databricks is doing wonders in this space by unifying Data + AI at one platform & also giving smooth UI to Intereatc & get your job done in a simplified manner
What do you dislike about the product?
Although my experience is really good but what I have observed is that data bricks is doing wonders with Azure most of the time, I think they introduce Databricks as PAAS with other platforms like AWS especially.
What problems is the product solving and how is that benefiting you?
I think overall the Platform is really good but I loved their Data Governance support using Catalog is really a solution to most of the Data Governance problems.
- Leave a Comment |
- Mark review as helpful
The best lakehouse on the market
What do you like best about the product?
- SQL warehouse,
- MLflow,
- Delta,
- Ecosystem
- MLflow,
- Delta,
- Ecosystem
What do you dislike about the product?
- Dashboards could be improved to match BI product's capabilities
What problems is the product solving and how is that benefiting you?
Data engineering and machine learning
Embracing the Future : A Deep Dive into Databricks Lakehouse Platform
What do you like best about the product?
1. Advanced Analyrics and AI : Beyond traditional data management , Databricks Lakehouse platform offera a comprehesive suite of tools for advanced analytics and artificak Intelligence,
2. Data Quality and Goverance.
2. Data Quality and Goverance.
What do you dislike about the product?
Databrikcs platform offer numerous benefits and innovative features, but few aspects might find less favorable like
1. Complexity of New Users
2. Cost Considerations.
3.Limited Flexibility
1. Complexity of New Users
2. Cost Considerations.
3.Limited Flexibility
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse platform aims to address several challenges that organizations face in the realm of data management , analystics and decision making.
1. Unified Data Platform
2.Advanced Analytics and AI
1. Unified Data Platform
2.Advanced Analytics and AI
Most advanced data platform
What do you like best about the product?
Databricks has been developing an excellent product with new features being added constantly. ETL/ELT, dbt integration, integration with external sources, and many more features make it a product that is versatile and highly effective. Managment of permissions is also extremely easy.
What do you dislike about the product?
Some automated recommendations on optimizing jobs are lacking, so you could end up spending quite a lot of money without the best performance. The platform is also not for small scale use-cases.
What problems is the product solving and how is that benefiting you?
Databricks is providing the fundamental building block of our data warehouse + data lake + data processing platform from which other systems receive analytics data.
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.
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.
showing 141 - 150