Databricks Reviews & Product Details

Databrics offers a complete platform for managing all of our data - from ingesting events in high scale to writing tens of aggregations and models on top of the data - all in one place Review collected by and hosted on G2.com.

Databicks is very fast-paced, and this means we always have to be on our feet learning new features and see how the platform evolves. Sometimes this can lead to changes in existing code to migrate to new features developed Review collected by and hosted on G2.com.

1. Support for ACID transactions, time travelling, versioning

2.unity catalog for access control Review collected by and hosted on G2.com.

As databricks Lakehouse is built on top of delta lakes, it some times throws errors that are related to storage Review collected by and hosted on G2.com.

We have been using Azure data bricks for over three years. The evolution of data bricks is impressive, as well as its stability. When our users (data engineer, data scientist) want a new feature, it very often happens that within a week or three months, this feature is developed by the Databricks team. Magic Review collected by and hosted on G2.com.

As a user, if you want to keep pace with the new features and capacity of the platform, you have to stop sleeping :) And yet the documentation is abundant, and the media is of good quality. Review collected by and hosted on G2.com.

It combines the best elements of data lakes and data warehouses. Storage formats are standard and it provides API to access the data directly. Real-time reports are also very good feature that eliminates the need for separate systems to serving real-time data applications. Review collected by and hosted on G2.com.

It can be difficult for new users to get hands on. UI can be improvise to benefit new user to navigate easily. Review collected by and hosted on G2.com.

its powerful data analytics and machine learning capabilities. The platform includes built-in tools and libraries for data analysis, visualization, and machine learning, allowing users to perform complex data modeling and analysis tasks with ease.

ffers a collaborative and flexible working environment, with support for multiple programming languages and easy integration with popular development tools. This makes it an ideal choice for data teams and organizations of all sizes looking to streamline their data processing and analysis workflows. Review collected by and hosted on G2.com.

I don't like some of the documentation. Some of the features are not being maintained properly and some of the features that are mainly needed never get added. However, I don't think this is an issue with Databricks but rather an issue on MLFLow. Review collected by and hosted on G2.com.

The best thing about the platform is its ease of use, it is literally spark as a service. Review collected by and hosted on G2.com.

What you need is to have a more comfortable way to connect to the notebooks via an IDE. Review collected by and hosted on G2.com.

One of the key advantages of Databricks Lakehouse Platform is its unified approach to data management, which allows organizations to manage all types of data, including structured, semi-structured, and unstructured, in a single location. This simplifies data management and provides a unified view of all data, enabling better decision-making.

Another advantage is its scalability and performance. Databricks Lakehouse Platform is designed to handle large volumes of data and can scale horizontally as well as vertically. It also provides high-speed data processing and query performance, thanks to its distributed architecture and optimized computing engines.

The platform's built-in capabilities for machine learning and AI is another advantage. This allows organizations to easily integrate machine learning and AI into their data workflows and derive insights and value from their data. Review collected by and hosted on G2.com.

One potential challenge is the learning curve associated with the platform. Databricks Lakehouse Platform requires a certain level of technical expertise and familiarity with the tools and technologies used in the platform, such as Apache Spark, SQL, and Python. This can make it challenging for some organizations to adopt the platform, especially if they lack the necessary expertise.

Another potential limitation is the cost associated with the platform. Databricks Lakehouse Platform is a commercial product, and as such, it requires a subscription or licensing fee. This can be a barrier to entry for some organizations, especially smaller ones with limited budgets. Review collected by and hosted on G2.com.

The Databricks Lakehouse Platform's seamless integration of data lakes and data warehouses, which offers the best of both worlds for data analytics and processing, is its most useful feature. Users in a variety of jobs are empowered by the platform's strong and intuitive user interface, which also promotes collaboration and increases output. Its rich built-in analytics and machine learning capabilities allow for sophisticated modelling and complex data transformations for the extraction of insightful information. The platform's scalability guarantees effective management of complex data processing operations. And finally, its strong data security and governance features provide users confidence when handling sensitive data. Review collected by and hosted on G2.com.

One area for improvement with the Databricks Lakehouse Platform is the occasional challenge faced when troubleshooting certain issues, where enhanced support options or an expanded knowledge base would be beneficial. Review collected by and hosted on G2.com.

quality (features, performance, stability) of the product and associated documentation, and responsiveness of Databricks support staff Review collected by and hosted on G2.com.

at present i don't dislike anything, i hope databricks coroporation will be able to continue providing a resilient well maintaned product Review collected by and hosted on G2.com.

This tool supports almost all types of data.

Supports even the partially arranged/aligned data also.

Provides a way for better data handling and Management ( like Unified View, graphical view, and Comparision graphs ), which helps in better decision-making. Review collected by and hosted on G2.com.

Need a specified or specialized consultant to set up the tool because of the adaptability of this tool is complex.

Pricing is high compared to similar tools in the market. Review collected by and hosted on G2.com.