G2 reviewers report that Databricks Data Intelligence Platform excels in its integration of AI with the data lakehouse, which users find crucial for enhancing their data analytics capabilities. Many users appreciate the platform's ability to connect seamlessly with external tools like Power BI for reporting, making it a strong choice for organizations looking for robust data engineering solutions.
Users say that Hex stands out for its user-friendly interface and the availability of prebuilt components, which significantly reduce the need for customization. This ease of use is highlighted by reviewers who enjoy the notebook feature, allowing them to perform in-depth analyses effortlessly and slice data in various ways.
According to verified reviews, Databricks has a higher overall satisfaction score, particularly in the realm of data science and machine learning, where it boasts a strong reputation for fast calculations and analytics features. Users have noted that the platform's capabilities in model training and feature engineering are particularly impressive.
Reviewers mention that Hex's direct connection to Snowflake simplifies data access, which is a significant advantage for teams that rely on cloud data warehouses. This feature, combined with the ability to use SQL and Python for querying, makes Hex a versatile tool for data analysts looking for flexibility in their workflows.
Users highlight that while Databricks offers powerful features for large-scale data handling and scalability, some may find the setup process slightly more complex compared to Hex, which is praised for its straightforward onboarding experience. This difference can impact teams looking for quick implementation.
G2 reviewers note that while both platforms provide solid support, Databricks has a slight edge in terms of quality of support, with users appreciating the responsiveness and helpfulness of the support team. However, Hex users also report satisfactory support experiences, particularly for its ease of use and quick troubleshooting.
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
4 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.