Overview
Product Information on Databricks Data Intelligence Platform
What is Databricks Data Intelligence Platform?
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Overall experience with Databricks Data Intelligence Platform
“Assistance from Databricks Resolved Technical Challenges in Data Engineering Workflow”
“Constant Updates Create Confusion Amid Impressive Capabilities and Lagging Documentation”
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Company Description
Databricks is a global company focusing on data and AI. At the core of Databricks is the Databricks Data Intelligence Platform which allows entire organizations to use data and AI to power a wide range of business use cases. It's built on a lakehouse to provide an open, unified foundation for all data and governance and is powered by a Data Intelligence Engine that understands the uniqueness of the organizations’ data. Databricks simplifies and accelerates enterprises' data and AI goals by unifying data, analytics and AI on one platform. Its key mission is to assist data teams in addressing some of the world's most challenging problems.
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A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Databricks Data Intelligence Platform
Reviewer Insights for: Databricks Data Intelligence Platform
Deciding Factors: Databricks Data Intelligence Platform Vs. Market Average
Performance of Databricks Data Intelligence Platform Across Market Features
Databricks Data Intelligence Platform Likes & Dislikes
There are many things I find useful. It's a single data platform and for a small operation that means less generalisation to cover many moving parts. It's easy to see where money is spent and then it's easy to ask good questions to optimize the performance. Need only two languages for most work: Python and SQL. The performance of many SQL tasks has been extremely good. It's relatively easy to configure most things. Generally, the documentation is up to date and valid to answer questions.
Read Full Review1. AI and ML capabilities are phenomenal and the possibilities of the Platform becoming a powerhouse for deploying ML Models and Systems is quite a lot. 2. The ease of managing multiple assets within the same location with Unity Catalog and Workspace-Based Asset Deployment provides a feeling of seamless integration. 3. The ability to connect different Systems as data sources to databricks is an amazing feature,and they never seem to disappoint with the speed of how they bring updates.
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It could do with better dashboard capabilities and the ability for customers to be able to do more with it like dynamically skinning a dashboard dependent on user. A greater array of charting objects would be great.
Read Full ReviewLack of transparency in what is being developed and what has been released. Documentation is very slow to follow after new features are released.
Read Full ReviewThe constant changes to the UI and critical functionalities can sometimes feel overwhelming, The changes are not quite as big as that, but I have had instances where I had to revisit code or features just because something changed, can possibly introduce LTS versions if possible.
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Peer Discussions
Databricks Data Intelligence Platform Reviews and Ratings
- DATA & IT SECURITY MANAGER<50M USDIT ServicesReview Source
Assistance from Databricks Resolved Technical Challenges in Data Engineering Workflow
I had previously done training several years ago and decided to use Databricks for some requirements for data engineering and data analysis. I was hitting a wall on an issue. I reached out to a connection on LinkedIn who worked at Databricks to see if they could help me figure out how to get some assistance. A few days later I was advised he had someone and was contacted officially by Databricks. We had a consultation on what issues I had, and they then got straight to work in helping me resolve them. Several days later and the problem had been resolved, and I am now working with them on additional project problems for other work. Determining best approaches and solving issues as they arise - BI Developer50M-1B USDEnergy and UtilitiesReview Source
Databricks ETL Pipelines UI Simplified, but Frequent Updates Can Feel Overwhelming
In regard to the recent updates, Databricks has simplified its ETL pipelines UI which makes it easier to use, apart from that we have recently started using Power BI tasks which makes the integration between Data Lakes and downstream reports, apart from that I think it's truly revolutionary approach in centralized security through Unity Catalog is truly commendable. - Data Engineer<50M USDSoftwareReview Source
High Reliability and Collaboration Features Stand Out in Databricks Data Engineering
As a Data Engineer who has built a full data platform on Databricks, I find it highly reliable, scalable, and developer friendly. The tight intergration with Spark, Delta Lake and orchestration tools makes it easy to build and maintain robust data pipelines - Engineer50M-1B USDIT ServicesReview Source
Databricks Centralizes Diverse Workloads and Simplifies Incremental Data Loading
Our Databricks experiance has been pretty solid. What we love is that we have one single place where different workloads can be implemented. - ENGINEERGov't/PS/EdEducationReview Source
Delta Lake ACID Transactions Simplify Data Governance But Refactoring Remains Challenging
In general it works quite well. Especially on the perspect of treating delta lake as the single source of truth, works perfectly on ACID transaction and time travel, which eliminate the data swamp. However, the notebook drive workflows make things hard to test and refactor. Merge conflicts constantly appear