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What is Databricks Data Intelligence Platform?
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Overall experience with Databricks Data Intelligence Platform
“A Powerful and Well-Designed data Platform That Has Delivered Strong Results for Our Organisation”
“Platform Offers Robust Features but Presents Steep Learning Curve for Beginners”
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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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Databricks Data Intelligence Platform Likes & Dislikes
The platform feels very well thought through. Even though Databricks is newer than some of the more traditional data and BI vendors, it doesn't feel immature. The developer experience across different languages is excellent, and features like Unity Catalog have made governance and access much clearer as we've scaled. It's obvious the product is moving forward quickly and in the right direction.
Speed and performance, it is quick to query and start up a warehouse. The Unity catalog makes it easy to see what kind of data is available across the enterprise.
Unifies Analytics and Collaboration - Databricks brings together data engineers, scientists, and analytics in a shared environments with collaborative notebooks and version control to make it easier for teams to work on data processing, ML models and and analytics without switching tools. Scalability and performances - Built on Apache Spark with support for large-scale batch and real-time processing, Databricks handles massive datasets efficiently. Flexible language and ecosystem support - The platform supports SQL, Python, R and Scala, integrates with ML Flow for model lifecycle management, and centralizes governance and metadata though Unity Catalogue.
There are still a few areas where the out-of-the-box integrations aren't as broad as some long-established platforms, particularly for certain data sources. That said, this hasn't been a blocker for us, and Databricks has been steadily improving in this area, with clear signals about what's coming next.
It was hard to get started with it, training for non-technical and business users was scattered and there are still features being built (like Lakeflow Designer) for us.
cost can escalate quickly - The platforms pricing model and resource usage can become expensive, particularly for large-scale deployments or long running workloads, making cost management is a critical concern. Cloud dependency and tooling limitations - Cloud-native - relying on strong internet and cloud infrastructure.
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Databricks Data Intelligence Platform Reviews and Ratings
- Senior Digital Analytics Manager1B-10B USDRetailReview Source
A Powerful and Well-Designed data Platform That Has Delivered Strong Results for Our Organisation
We don't usually give top scores lightly, but our experience with Databricks has been genuinely very strong. From the initial implementation through to ongoing support, they've been reliable, easy to work with, and clearly invested in making the platform successful for us, not just selling the technology. - DATA AND ANALYTICS MANAGER10B+ USDBankingReview Source
Lakehouse Architecture Enables Scalable, Flexible Workflows Across Diverse Data Workloads
DataBrick's Data intelligence platform feels like powerful, enterprise-grade analytics and AI ecosystem - built to unify data engineering, data science, analytics, and, machine learning in one cloud native environment. Its centered on the lake house architecture, which combines data warehouse ad data lake principles, while providing scalable performances and flexibility for diverse workloads. - Data Governance Expert1B-10B USDBankingReview Source
Databricks: A comprehensive solution for Data Integration, Processing and Analytics
The Databricks Data Intelligence Platform is a centralized platform to handle all our data related tasks, from organizing, storing, managing, transforming, mining data, analyzing data through simple dashboards. The platform also provides the ability to build models as well as pre-made models, especially LLMs. Till now, it has basically met our needs, except some features that are still under development (slowly). - DATA ANALYST50M-1B USDIT ServicesReview Source
Unified Data Access and Flexible Querying Highlighted, Cost Control Remains Complex
Databricks is our main DataOps tool, it let's us integrate data from tons of different sources making it the go to place for getting data about all the processes in the company, it also lets you build ETL processes and data preparation and it has a great ecosystem for managing our data flow and funnel, it's also the only place we let bussiness users query our data and it has a great permissions strategy. - 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