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Databricks Lakehouse
What do you like best about the product?
Its awesome data warehouses platform to help to extract the data or metadata from data lakehouse. Data tables it help is to build the Ai/ML models.
What do you dislike about the product?
all services are good nothing to dislike.
What problems is the product solving and how is that benefiting you?
it's solve the Data Science and Machnie learning problems
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A Tool Box to the Modern Big Data Data Scientist
What do you like best about the product?
The upscale in storing and retrieving large quantities of data with its sdk to s3. In addition, great resources allocation support and additional tools such as clearml.
What do you dislike about the product?
The compatibility to pandas is lacking due to the fact that it is mainly used by me with pyspark which didnt allow an optimal usage for the various pandas libraries.
What problems is the product solving and how is that benefiting you?
Retrieving and querying a very large data warehouse on s3 (several hunders of T'). Performing basic filtering and quering on the data and running a ML experiment on huge amounts of data.
Great tool for data exploration and development, no so much for production pipelines
What do you like best about the product?
Easy to set up processes and iterate.
Shareability
Shareability
What do you dislike about the product?
Not tailored for production integration
Hard to incorporate without being databricks aware, which leads to a vendor lock
Hard to incorporate without being databricks aware, which leads to a vendor lock
What problems is the product solving and how is that benefiting you?
Gaining data visibility
Developing spark jobs towards production
Developing spark jobs towards production
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.
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
Databricks - Unified solution for Data Engineering and AI
What do you like best about the product?
Databricks Intelliegence Platform provide a common platform for ETL,Reporting and AI. It's help user to monitor all the data lineage with the help of Unity Catalog and that can be used to create audit report at account level also databricks Genie help user to direct query the tables with simple english words.
What do you dislike about the product?
Overall it's good for Data Engineer ML Engineer and Analysts but need to work on workflow part that can be more robust and feature reach
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse Platform provides multiple inbuilt fetaures that help developers and admin to manage the data efficiently. We had big issue related to data governance but with the help of Databricks Unity Catalog we can now govern the data and it's also help us to track the workspace access.
Databricks provide inbuilt ML models that help us to escalate the development process.
Databricks provide inbuilt ML models that help us to escalate the development process.
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
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