Databricks Reviews & Product Details

I like the way Databricks does data management, all in one place. What it does is it unites the data engineers and data scientists on the same platform to collaborate and solve problems quickly. Scaling became effortless thanks to the integration with tools like AWS, as well as keeping up with the progress in the notes continues to keep us all on the same page in the notes. It’s helped remove communication issues and it’s helped take care of things faster. Review collected by and hosted on G2.com.

Databricks has one downside and that is the learning curve, especially for people that want to get started with a more complex configuration. We spent some time troubleshooting the setup, and it’s not the easiest one to begin with. The pricing model is also a little unclear, so it isn’t as easy to predict cost as your usage gets bigger. At times that has led to some unforeseen expenses that we might have cut if we had better cost visibility. Review collected by and hosted on G2.com.

Databricks has the great ability to handle streaming data and integrate with Kafka. This is an essential feature for our organisation as we used Databricks to enhance our real time fraud detection system in the financial service sector. This has improved security and reduced fraud activities. The real time processing capabilities were also a crucial feature for our use case. Databricks also support multiple languages development, which is a key benefit for our organisation as we have both Python and Scala developers. Review collected by and hosted on G2.com.

During a critical phase of the project, we faced few challenges while optimising our Spark jobs. The user interface for cluster management could be improved, as we occasionally face delays when scaling clusters to handle large workloads. Review collected by and hosted on G2.com.

Because is generating new interesting features and focus on innovation Review collected by and hosted on G2.com.

It’s difficult to be aligned with all the features that appears. Not a official path Review collected by and hosted on G2.com.

You like Databricks for its ability to streamline data engineering, data analysis, and machine learning workflows in one unified platform. Review collected by and hosted on G2.com.

You dislike the Databricks platform for its potential complexity and the costs associated with scaling and managing large data workloads. Review collected by and hosted on G2.com.

Databricks simplifies big data processing with AI-powered analytics, seamless integration, and collaborative workspaces, making data-driven decisions faster and more efficient. Implementation is smooth, and customer support is helpful. Review collected by and hosted on G2.com.

Databricks is great, but the cost can escalate quickly, especially with high workloads and auto-scaling. Review collected by and hosted on G2.com.

My team recently used Databricks to implement a machine learning model for fraud detection. We used the Delta Lake for data preprocessing and insured real time updates from our database. One of the most helpful features in Databricks is the Delta Lake functionality, which ensures data consistency. The platform supports both Python and SQL, which fills the cap between Data engineers and Analysts. This makes it easy for teams to collaborate. Customer support is another highlight as they respond quickly and provide clear guidance. Review collected by and hosted on G2.com.

While integrating Databricks with our existing Azure Data Lake, we faced issues syncing access permissions for multiple datasets. Additionally, their pricing models makes it better suited for large organisations, but for smaller teams scaling up can be expensive. Review collected by and hosted on G2.com.

One thing that strikes me about Databricks is the fact that the platform offers robust methodologies for working with big data while maintaining tremendously high efficiency. I also like how it can be set up to work with multiple jobs at once and is highly beneficial for working on different kinds of datasets in parallel. The integrated collaboration tools enable multiple authors to edit a given document simultaneously hence enhancing the flow of information in the team. Review collected by and hosted on G2.com.

The issue that Databricks could address is the insufficient tools for identifying and addressing problems. While the platform is useful, it’s sometimes not clear where errors lie, meaning that faults might not be as easy to identify. It can result in further time consumed in error analysis in large processes arrangements since these classifications are vague. At times it seems as though there is great strain to searc original solutions thereby slowing the process. Review collected by and hosted on G2.com.

The fact rhat it has all the services needed to manage data lifecycle Review collected by and hosted on G2.com.

Maybe costs for customers sometimes are high Review collected by and hosted on G2.com.

The developer affinity the platform have with all the suites thats required for an end to end data product and ai application delivery Review collected by and hosted on G2.com.

If it had a bit more improved UI that aligns with latest trending design it will improve the overall experience Review collected by and hosted on G2.com.

Databricks provide DBRX and AI powered inteligence in platform that helps Data Engineering and Analytics team to speedup thier work and also solve complex problems within minutes, implementation of GEN AI (RAG) is very simple in databricks with latest features. Review collected by and hosted on G2.com.

Databricks doing great in DATA and AI domain and helping users to solve thier complex issue , adding new builtin sql function will help a lot in data analysis. Review collected by and hosted on G2.com.