Our primary use case is in our project; we are dealing with Duo Special Data, where we need a lot of computing resources. Here, the traditional warehouse cannot handle the amount of data we are using, and this is where Databricks comes into the picture.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Still learning the insights of lake house
What do you like best about the product?
Solving data silos. Now i can query all my datain a unified manner
What do you dislike about the product?
Not finding rich documentation of lakehouse
What problems is the product solving and how is that benefiting you?
It is solving the problem of data silos and limitations of data lake
LakeHouse for Beginners
What do you like best about the product?
Easy of learning and everything at one place
What do you dislike about the product?
Mostly used upon azure and not on GCP as it's not integrated well within GCP
What problems is the product solving and how is that benefiting you?
Easy for SQL users
Experience as a New User
What do you like best about the product?
My favorite part abt databricks lakehouse platform would be to have an integrated UI and connecting SQL/DS and ML space. It also has clear instructions on connecting to 3rd party tools.
What do you dislike about the product?
The help documents sometimes are little hard to navigate and i would need to go thru google search instead. wish there could also be AI modules in the future to answer questions.
What problems is the product solving and how is that benefiting you?
it helps with data exploring thru SQL queries and visualization tool,and the result was very easy to share with business users. It also help build clear ETL pipelines to streamline the process.
Unified Platform for Analytics & Data Science
What do you like best about the product?
It's one platform that you can use, for all use cases, including Analytics, Data Science, ML Ops, & Data Engineering
What do you dislike about the product?
Unity Catalogue is still only for Databricks data. It still won't account for data in other places
What problems is the product solving and how is that benefiting you?
A unified platform for all our analytics processing
Processes tremendous data easily
What is our primary use case?
What is most valuable?
The processing capacity is tremendous in the database. We are dealing with Azure as storage, so we have not faced any challenges. And also the connectors to different data sources. Moreover, it is not a language-dependent tool. Therefore, development also takes place faster. It is one of the best features of Databricks.
What needs improvement?
There is room for improvement in the documentation of processes and how it works. I was trying to get one of the certifications, so I saw an area of improvement there.
For how long have I used the solution?
I have been using Databricks for eight to nine months.
What do I think about the stability of the solution?
It is a stable product for us. We didn't see any challenges.
What do I think about the scalability of the solution?
There are around 30 to 35 users in our organization.
How was the initial setup?
The initial setup was easy because the third-party team made the clusters for us.
What about the implementation team?
A third-party team enabled the cluster to make the setup easy for us.
What other advice do I have?
I would advise using it based on the use case because it easily handles big data. It is your go-to tool if you are dealing with massive data.
Overall, I would rate the solution a nine out of ten. The tool performs well in various use cases, availability of documentation online, and compatibility with big data systems like GCP, Azure, or AWS.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Microsoft Azure
comprehensive data management platform
What do you like best about the product?
Its ability to integrate seamlessly with a wide range of data sources, both structured and unstructured.
Intuitive interface .
Advanced analytics tools
Intuitive interface .
Advanced analytics tools
What do you dislike about the product?
One drawback of DatbrickLakehouse is its pricing model.
What problems is the product solving and how is that benefiting you?
DatabrickLakehouse allows our businesses to consolidate the data in a central location, providing a single source of truth for all stakeholders in organisation.
Databricks Lakehouse Solved lot of things
What do you like best about the product?
Data governance and security of data within the organization and provide dashboarding.
We can use choose the storage that is the most beautiful thing.
We can use it for SQL engine as well
We can use choose the storage that is the most beautiful thing.
We can use it for SQL engine as well
What do you dislike about the product?
nothing to say, I haven't seen any feature that is bothering me.
What problems is the product solving and how is that benefiting you?
It is cost-efficient and scales data lakes with the data management and ACID transactions of data warehouses.
It has new query engine designs providing high-performance SQL execution on data lakes.
It has new query engine designs providing high-performance SQL execution on data lakes.
Databricks has been absolute productivity tool
What do you like best about the product?
Databricks come with everything in one place, and that is the best thing about the platform. Now I don't have to go to EMR page to create an ERM and then create a notebook. All these can be done with just one click and one page. One gets to jump from notebooks to Query service and to AI in just one click. You get data store views, auto type suggestions based on table and schema context. All these makes the experience very smooth and fast.
What do you dislike about the product?
Queries get refreshed once in a while, where if some queries are not saved explicitly get deleted.
There is no dark mode, hence have to use a white theme.
Sometimes your queries get pushed to long queues which takes a lot of time and can be little frustrating.
There is no dark mode, hence have to use a white theme.
Sometimes your queries get pushed to long queues which takes a lot of time and can be little frustrating.
What problems is the product solving and how is that benefiting you?
- Adhoc queries on datalake, data profiling on various schema and tables.
- Creating and testing data pipelines using notebooks with various language support.
- Quick, easy, and on-demand resource creation and termination.
- Creating and testing data pipelines using notebooks with various language support.
- Quick, easy, and on-demand resource creation and termination.
Databricks Lakehouse a new data warehouse
What do you like best about the product?
Offers low cost storage of data with efficient schema structure and analytics. Support for ACID transactions. Quick and easy data accessibility. Good data governance.
What do you dislike about the product?
I should hold an active account with AWS or Azure to use Databricks Lakehouse platform or else I can't access it. More guidance on data quality tools is needed.
What problems is the product solving and how is that benefiting you?
The speed of processing the data is lagging sometimes. Databricks Lakehouse focusing to slove lagging issue helps me in smooth functioning of the tasks and saves sometime.
I like working on Databricks
What do you like best about the product?
Databricks allow us to access data via pyspark, python and sql.
The interface is easy to use and most of my work is spent there.
The interface is easy to use and most of my work is spent there.
What do you dislike about the product?
I was told the model training part is more costly in Databricks than in Azure.
So some of the jobs need to be done in databricks and some of the jobs need to be done on Azure.
It will be good if cost is not an issue when choosing platforms.
So some of the jobs need to be done in databricks and some of the jobs need to be done on Azure.
It will be good if cost is not an issue when choosing platforms.
What problems is the product solving and how is that benefiting you?
move of ETL and analysis are done in databircks for me.
showing 201 - 210