Databricks Data Intelligence Platform Reviews & Product Details

This is an end-to-end platform that begins with flexible onboarding of data from multiple sources, followed by processing through a medallion architecture. The Unity Catalog is used for governance, cataloging, and tracking data lineage. Databricks SQL serves as the endpoint for use cases such as business intelligence, as well as downstream integration through API endpoints. Review collected by and hosted on G2.com.

There isn't anything particularly specific, but in certain situations, we do depend on cloud-native services. For instance, when working on Azure and aiming for comprehensive end-to-end governance, we require Azure Purview. Review collected by and hosted on G2.com.

The platform itself is relatively easy to use and quick to stand up. Initial setup was straightforward, and core workflows were accessible without excessive configuration. From a purely technical standpoint, the product is usable and well-designed. Review collected by and hosted on G2.com.

Databricks needs to take real accountability for pricing accuracy and post-sale remediation. Their usage and pricing calculator was materially wrong for our use case (off by ~10x), and we raised concerns early. We never received the level of attention or corrective action needed to resolve it properly.

We ended up paying more than 10x the expected cost, with only the final quarter partially rebated, which is not a meaningful remedy. Databricks declined responsibility and instead referenced emails sent after the contract was signed, which did not align with when the issue was identified.

This experience has made us seriously reconsider alternatives like Snowflake. My advice to others: be extremely cautious with Databricks’ pricing estimates and assume you will bear the risk if they are wrong. Once the contract is signed, resolution is difficult, and revenue protection appears to take priority over customer outcomes. Review collected by and hosted on G2.com.

I like the integration between Spark, Delta Lake, and notebooks, which helps optimize and scale data pipelines. And the other feature that I love is the different cluster options that we have, which are really easy to tune for cost and performance. Review collected by and hosted on G2.com.

Debugging complex Spark jobs and understanding some of the optimization features is a time taking process in Databricks, is what I think. Review collected by and hosted on G2.com.

1. Easy for data teams once set up; notebooks, SQL, and dashboards work smoothly in one place.

2. Used frequently for data engineering, analytics, and ML workloads.

3. Implementation is structured and scalable, especially on cloud environments. Review collected by and hosted on G2.com.

1. Customer support quality depends on the support tier purchased.

2. Too many advanced features can feel overwhelming for smaller teams.

3. Initial setup and architecture planning take time and skilled resources. Review collected by and hosted on G2.com.

I like the Databricks Data Intelligence Platform because it's a unified, scalable platform for data engineering, analytics, and collaboration. It simplifies the process of building and running data pipelines, handles performance-intensive Spark workloads, and promotes collaboration across teams with shared notebooks and environments. It's great for managing and processing large datasets, improving performance, and providing a consistent platform for turning raw data into insights. The initial setup was easy, thanks to helpful documentation. Review collected by and hosted on G2.com.

It can improve in areas like startup time for clusters, deeper visibility into performance tuning and clearer documentation for advanced configurations. Review collected by and hosted on G2.com.

I have used approx. number of Data Analytics platform but the user friendly enviornment and features of Databricks gives always reliable and satisfactory experience to me that gives a confidence to handle large data sets without any problem. Review collected by and hosted on G2.com.

Never have any issue with their services instead they gives a best user support to us to manage all our AIML integrations and new AI implementations. Review collected by and hosted on G2.com.

Databricks has made working with massive datasets so much easier for our team. The collaborative notebooks help us share ideas and troubleshoot together, and the platform’s ability to scale means we don’t have to worry about hitting limits. It’s sped up our analytics and machine learning projects, and connecting to different data sources is a breeze. Review collected by and hosted on G2.com.

The initial setup was a bit confusing, and some of the advanced features could use better documentation. Figuring out the pricing took some time, but once we got going, the benefits were clear. Review collected by and hosted on G2.com.

I am using data bricks from around 1 year. In a week I use it approx 3-4 days. Everything is integrated, which means I don’t have to switch between multiple tools to do different tasks. It really improves team collaboration. Sharing notebooks and collaborating on models is super easy. This has been great for our team since we often work together on projects and need to see each other's code and progress. Review collected by and hosted on G2.com.

This is probably the biggest downside. Databricks can get pretty expensive, especially if you’re not monitoring your usage carefully. It’s definitely a platform that’s best suited for teams with a larger budget or organizations that need heavy-duty data processing. Review collected by and hosted on G2.com.

This tool can be implemented on nearly any platform and provides a wide array of integrated analytical features. It offers a thorough set of analytical functions that make operations easier and deliver a comprehensive perspective on the technology. Its performance in big data analytics is outstanding, as it is built to handle and process vast quantities of information efficiently. Review collected by and hosted on G2.com.

It requires a bit more time for a database administrator and is somewhat difficult to configure when migrating infrastructure. Sometimes some adjustments are necessary to find the exact solution. Review collected by and hosted on G2.com.

This platform is excellent for scaling large language models (LLMs) and generative AI applications. It offers a unified location to manage security and access data files across multiple cloud environments. Review collected by and hosted on G2.com.

Databricks is designed for handling large data sets, so using it for smaller tasks can feel excessive. Review collected by and hosted on G2.com.