Databricks Data Intelligence Platform
Databricks, Inc.External reviews
640 reviews
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Data Engineering with Databricks
What do you like best about the product?
I like Databricks because it provides all the elements necessary for mass data processing, the different components (notebook, cluster, jobs) are very well integrated and quite easy to use. A lot of training is offered to understand in depth the possibilities offered in Databricks, which makes it much easier to use.
What do you dislike about the product?
The Dashboard part integrated into Databricks is quite limited and does not allow the creation of complex and relevant dashboards
What problems is the product solving and how is that benefiting you?
Databricks solves the problem of scalability, it's easy to manage a large amount of data as a smaller one.
Databricks for data world
What do you like best about the product?
It provides some key features like workspace, notebook, Apache spark, Delta Lake, and Scalability. It provides a centralized environment where teams can collaborate. We can work on Jupyter Notebook with Apache Spark which provides the engine that powers all processing of dataset. It provides Cross-team collaboration so engineers, analysts, scientists, and ML engineers can work seamlessly on the same platform. It also provides consistency with notebooks, users can transition between tasks and programming languages without the need for context-switching.
What do you dislike about the product?
In this Databricks platform, we can't migrate a library from the dev workspace to the prod workspace.
What problems is the product solving and how is that benefiting you?
It provide some key features like workspace, notebook, Apache spark, Delta Lake and Scalability.
It provide centralized evn where team can collaborate.
We can work on jupyter notebook with Apache spark which provide engine that power all processing of dataset.
It provide Cross-team collaboration so enengineers, analysts, scientists and ML engineers can work seamlessly in the same platform.
Consistency: with notebooks, users can transition between tasks and programming languages without the need for context-switching.
It provide centralized evn where team can collaborate.
We can work on jupyter notebook with Apache spark which provide engine that power all processing of dataset.
It provide Cross-team collaboration so enengineers, analysts, scientists and ML engineers can work seamlessly in the same platform.
Consistency: with notebooks, users can transition between tasks and programming languages without the need for context-switching.
One stop solution for all Data need
What do you like best about the product?
Databricks provides multiple language support as well as a well guided UI for all the processing needs. Moreover it has in-built diagnose of error which helps debugging and save time. It has also a well guided Documentation available.
We can implement data engineering work loads as well as data science workloads so it can help one organisation frequently changing domains. It also has wide integration with all cloud providers and legacy systems. Having any explicit issues can be resolved with Customer support available readily.
We can implement data engineering work loads as well as data science workloads so it can help one organisation frequently changing domains. It also has wide integration with all cloud providers and legacy systems. Having any explicit issues can be resolved with Customer support available readily.
What do you dislike about the product?
Having prior cloud account can be an issue sometimes. Understanding its workflow can sometimes be a challenge to users.
What problems is the product solving and how is that benefiting you?
Having all integrations at one place helps saving time, resources and cost. Providing scalability to all resources helps saving efforts.
Databricks Review
What do you like best about the product?
I like to use it for creating my ETL Pipelines. Its features helps us to make the data transformation so easy.
What do you dislike about the product?
There is nothing to dislike as of now. It is best as it is.
What problems is the product solving and how is that benefiting you?
It helps us in creating and maintaining the ETL Pipelines. The data transformation features are very useful to have in the pipelines. Its data security and integrity is very useful for maintaing a healthy pipeline.
ETL developpement on the Databricks Data Intelligence Platform
What do you like best about the product?
Simple of use. One unique point of truth and of work. Very easy governance and very convenient and secure way of sharing the data, which is one of the biggest issue in the industry
What do you dislike about the product?
Not especially easy to handle at first, at least for the data engineering, real time streaming part.
What problems is the product solving and how is that benefiting you?
Real time streaming processing of the data, and secure data sharing
These have been complicated to set up with other technologies, and is greatly simplified with Databricks.
Moreover the automated governance that is provided is greatly beneficial.
These have been complicated to set up with other technologies, and is greatly simplified with Databricks.
Moreover the automated governance that is provided is greatly beneficial.
Complete unified platform for Data Enginnering and ML workloads in the era of AI.
What do you like best about the product?
What I appreciate most about Databricks Data Intelligence Platform is its seamless integration of data engineering, data science, and collaboration features. Its unified environment empowers teams to effortlessly collaborate on data-driven projects, accelerating innovation and enabling organizations to derive actionable insights from their data with ease and efficiency.
What do you dislike about the product?
Higher compute cost, missing data sharing feature similar to what we have in Snowflake
What problems is the product solving and how is that benefiting you?
Massive data Processing , I believe at present only Databricks is capable to process this great amount of data.
Databricks Review.
What do you like best about the product?
The best thing is I can choose any cloud provider for my infrastructure. The interactive environment called Notebooks which allows to write and execute codes is very easy to use. The magic commands are very much helpful. The UI is good and interactive.
What do you dislike about the product?
Nothing as of now but there can be more features added.
What problems is the product solving and how is that benefiting you?
I can choose between Single node and Multi node clutser according to our requirement which solves our problem. I can create workflows easily by connecting it to the notebooks and can also mention external parameters. Spot instances are very much cost saving. And the feature called Photon which helps in fast query performance at low cost.
Great product for data engineering - playing with data gets easy.
What do you like best about the product?
Creation of data product with databricks gets easy. we can easily deliver our product to the clients on time.
Data ingeston and data curation with great performance makes the work easy.
cost effective- Launching of clusters and gets stop after work save much cost as using other data performance tools.
Understandable architecture with a sequence helps to manage the tool.
Customer support is awesome , they helps to solve all the issues i faced.
Integration and setup of databricks using terraform helps alot to manage the workspace .
Data ingeston and data curation with great performance makes the work easy.
cost effective- Launching of clusters and gets stop after work save much cost as using other data performance tools.
Understandable architecture with a sequence helps to manage the tool.
Customer support is awesome , they helps to solve all the issues i faced.
Integration and setup of databricks using terraform helps alot to manage the workspace .
What do you dislike about the product?
It took much amount of time to restart a cluster . This should be improved.
What problems is the product solving and how is that benefiting you?
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Great platform for scale and muli-users
What do you like best about the product?
The web interface allows for testing codes and scripts and making quick review tables before the implementation of pipelines. Otherwise the setup and navigation is quite initiative to manage. Finding some configuration takes a trip to the help docs but they are always clear and well linked to keep progress going.
What do you dislike about the product?
First-time cloud users might struggle unless they have been exposed to similar tools. My largest issue is with our company's admin and their anti-trust of staff. We have limited access to the full power of the platform, which means that, realistically, it is being used for much less than it is capable of.
What problems is the product solving and how is that benefiting you?
It creates a data warehouse for the global team to access the same tables with minimal impact on each other's work performance. It also allows the development and testing of queries to ensure they are optimised and return the expected results.
Calculations and analysis flows can be developed to expand the available data.
Calculations and analysis flows can be developed to expand the available data.
a comprehensive review of Databricks
What do you like best about the product?
its a platform for storing and maintaining data also to manage and process big data.also implementation of apache spark
What do you dislike about the product?
databricks UI complexity.it can be improved to easy use
What problems is the product solving and how is that benefiting you?
databricks platform resolves data complexity by giving i unified platform that integrates with various data sources also it fosters collaborative analytics
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