Databricks Data Intelligence Platform
Databricks, Inc.External reviews
765 reviews
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Unity Catalog streamlines efficiency, despite Compute mode limitations
What do you like best about the product?
The Unity Catalog bundles useful data types together like Tables (delta), Models, Views, Functions and Volumes (for unstructured data). Additionally, the Workflows tab streamlines efficiency to run jobs and pipelines updating and engaging with big data.
What do you dislike about the product?
The worst functionality comes with the compute modes, and the restricted abilities. For example, Dedicated single-user access mode is essential to utilize ML runtimes and some Spark context access; however, Standard shared access mode is key for the latest UC functionality such as engaging with Shallow Clones properly.
What problems is the product solving and how is that benefiting you?
Problems with managing big data and streamlining execution time while also managing permissions and governance are all problems that are efficiently solved using Databricks Data Intelligence Platform and Unity Catalog.
Data Awesomeness
What do you like best about the product?
This makes it simple and uniform to work with data. I love how it can just be the one stop shop for data warehousing, ad hoc reporting and is my gateway to AI
What do you dislike about the product?
Screen real estate on a web application can be limiting. There's so much content, but you can't just pull apart sections and put them in separate windows.
What problems is the product solving and how is that benefiting you?
Connecting the dots between various data sources to create a comprehensive view of all our data.
Databricks review
What do you like best about the product?
Most helpful is the UI ans assistant. It helps a lot
What do you dislike about the product?
Least helpful is the workflow UI . It does not help
What problems is the product solving and how is that benefiting you?
It helps break silos of my data.
Love the innovative from Databricks
What do you like best about the product?
The simplicity and thoughtfulness of the product.
What do you dislike about the product?
Documentation or lack the documentation.
What problems is the product solving and how is that benefiting you?
Data cataloguing and metadata management.
All in one place
What do you like best about the product?
You can make the whole data pipeline in once place, from ingestion to AI models, it makes the business data insights easier.
What do you dislike about the product?
The price is a little too high for small companies or individuals trying to make the courses and certifications.
What problems is the product solving and how is that benefiting you?
Unifying data that comes from different departments of the company.
Databricks is usefull platform to analyze your data
What do you like best about the product?
Easy way to use, dashboards, security and linage with Unity Catalog
What do you dislike about the product?
Nothing, until now all the platform is amazing for me
What problems is the product solving and how is that benefiting you?
Move, procesing and analyze big amount of data
Data Engineer
What do you like best about the product?
The training the overall usability of it.
What do you dislike about the product?
The trainings can be more lab oriented for people.
What problems is the product solving and how is that benefiting you?
The trianing and versitality of learning something new
Databricks Usage Review
What do you like best about the product?
Databricks provides a common integrated platform for data engineering , SQL and ML
What do you dislike about the product?
Job orchestration for creating workflows
What problems is the product solving and how is that benefiting you?
Create a interface to mange code and clusters for spark
All in one place for all data needs
What do you like best about the product?
Honestly, it’s how it turns the chaos of raw data into something beautifully orchestrated—like jazz, but with less saxophone and more Spark.
I love that it’s not just a tool—it’s an entire ecosystem. It brings data engineering, analytics, and AI into one unified environment. That means I don’t have to duct tape a dozen tools together just to move a pipeline forward. Fewer silos, more flow. And the fact that it’s built on open standards like Delta Lake and Apache Spark? Chef’s kiss.
The collaborative features are also huge. Being able to work seamlessly across teams in notebooks, share insights, and iterate in real time? It’s like Google Docs for data nerds, but smarter and with fewer formatting headaches.
Oh, and Unity Catalog? Game-changer. It gives me visibility and governance without making me feel like I need a second job in security.
So yeah—what I like most is that it makes doing complex things feel, well… less complex. It’s not just about managing data—it’s about getting real intelligence out of it, fast. And that’s exactly the kind of velocity I like.
I love that it’s not just a tool—it’s an entire ecosystem. It brings data engineering, analytics, and AI into one unified environment. That means I don’t have to duct tape a dozen tools together just to move a pipeline forward. Fewer silos, more flow. And the fact that it’s built on open standards like Delta Lake and Apache Spark? Chef’s kiss.
The collaborative features are also huge. Being able to work seamlessly across teams in notebooks, share insights, and iterate in real time? It’s like Google Docs for data nerds, but smarter and with fewer formatting headaches.
Oh, and Unity Catalog? Game-changer. It gives me visibility and governance without making me feel like I need a second job in security.
So yeah—what I like most is that it makes doing complex things feel, well… less complex. It’s not just about managing data—it’s about getting real intelligence out of it, fast. And that’s exactly the kind of velocity I like.
What do you dislike about the product?
First off, pricing transparency can be… let’s call it “mysterious.” You think you’re just running a simple job, and then BAM—surprise costs like it’s your birthday, but the gifts are all invoices. I’d love a bit more clarity and control there, especially when you’re trying to scale responsibly.
What problems is the product solving and how is that benefiting you?
Certificate related parsing with great speed
The best analytical and data governing platform
What do you like best about the product?
The best I like about snaplogic is while doing data transformation of datasets in notebooks it has many languages to use like sql,pyspark and R. This enable me to use any language and effectively complete my requirements.data bricks has many features like Ai,unity catalog workflow managements which makes my ETL implementation ,and data integration easy and quick
What do you dislike about the product?
Under heavy usage the UI responsive for some implementations like job tracking ,Notebook versioning is a bit slugguish on web
What problems is the product solving and how is that benefiting you?
The problems databricks solving is effective datasets to data product creation satisfying business requirements
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