Databricks Reviews & Product Details

What I like the best about Databricks data intelligence platforms is the uninterrupted integration of data engineering, data science and AI workflows on an single platform, which improves cooperation, robustness and performance for large data and ML projects. Review collected by and hosted on G2.com.

The lowest useful aspect of Databricks data intelligence platform is its complication for new users and steep learning state, especially for those without a strong background in spark or distributed computing. Additionally, it can be expensive on a scale, and debugging large workflows can sometimes be challenging due to limited transparency in error tracing. Review collected by and hosted on G2.com.

I like it because it stands out for its ability to unify data science, data engineering, and business analytics into a single interface. I also appreciate the seamless integration with collaborative notebooks and the ability to seamlessly with Delta Lake is also a big plus, ensuring reliability and performance when managing large-scale data. Review collected by and hosted on G2.com.

Sometimes, the web interface can take a while to load active clusters. Id also like more visual tools to monitor resource usage in real time. Review collected by and hosted on G2.com.

The Databricks Data Intelligence Platform allows us to have a single source of development capabilities for IT developers and business analysts. This allows for easier implementation of capabilities and consolidation of toolsets across the environment. Users are given the freedom to develop the data products they need in the time frames they need them. It makes implementation and productionalization of these projects much easier to integrate for downstream usage. Review collected by and hosted on G2.com.

The one "dislike" I have is that it's difficult to keep up with all of the improvements and enhancements in the platform. We always see new features to implement and want to make sure we're doing the best we can for our end users. Review collected by and hosted on G2.com.

Notebooks support Python and Scala, which gives smooth collaboration across data teams Review collected by and hosted on G2.com.

All looks good, what I think is that its UI for beginners is very complex. Review collected by and hosted on G2.com.

The Databricks Data Intelligence Platform is a unified, AI-native environment that brings together data engineering, analytics, governance, and machine learning on top of the Lakehouse architecture. Its strength lies in combining open data formats with centralized governance via Unity Catalog and embedding intelligence through DatabricksIQ, which allows enterprises to securely connect their data with large language models. From an evaluation standpoint, the platform’s value is in enabling organizations to not only manage and analyze data at scale but also to operationalize generative AI use cases in a governed and collaborative manner. Review collected by and hosted on G2.com.

Current stage of evolving technology may require rebuilding on future if adapted by enterprise Review collected by and hosted on G2.com.

The recent AI features are quite helpful and also the unified lakehouse architecture. Review collected by and hosted on G2.com.

A bit tough for those new to spark or from a non tech background especially the table view. Review collected by and hosted on G2.com.

Databricks is very dependable, flexible, and helps our company to create innovative analytical solutions and every week in our technical meetings, we cover a range of subjects like bugs, best practices, new features, and more using it. Also every member of the support crew in Databricks responds fast and is rather helpful. Review collected by and hosted on G2.com.

When using creative features like AI, cost control and estimation might prove difficult. And although lakeview SQL is still not yet developed, Databricks is actively pushing their utilization nonetheless. Also every now and then unannounced feature activation in my office surprises me. Review collected by and hosted on G2.com.

I like its usable interface and the interactive notebooks that support SQL and Python for visualization in one place. Review collected by and hosted on G2.com.

For learners it may be difficult for beginners and cost may rise quickly Review collected by and hosted on G2.com.

I started with databricks 6 years ago and received more than 10 certifications. I liked a lot data analytics and fast calculations features of databricks. As well integration to other external tools like Power BI for reporting. Review collected by and hosted on G2.com.

All features were fine, but more AI-Powered features need to enhace all current features. Review collected by and hosted on G2.com.

Working on the Databricks where we can easily analyze huge datasets and integrate our platform or website to create an insight from our internal dataset. They have number of features that help us to manage all analytical views with pre define templates. Review collected by and hosted on G2.com.

Implementation was so quick and easy that help us to manage all data without any issues. I like their customer support services and their frequent use make them my favorite platform for data management. Review collected by and hosted on G2.com.