Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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Databricks your swiss army knife for your Data
What do you like best about the product?
What I like best as a Data Architect is the possibility to manage your data starting from the ingestion to the serving endpoints everything is managed and monitored in the same platform creating reusable resources optimizing costs and efforts while conserving full flexibility. All of that seasoned with open source mindset.
What do you dislike about the product?
I think the lakeflow connector are still in embryonic stage, I think it will get better with time but at the moment is not the best on the market
What problems is the product solving and how is that benefiting you?
our Data Platform is Databricks centric so basically anything we solve we data is solved with the intelligence platform. Moreover, the Data Intelligence Platform allowed to perform a strong Data Democratization which wouldn't be possible with other tools
Databricks streamlines data pipelines and data ownership
What do you like best about the product?
I love using the version controlled DBSQL authoring environment. It promotes collaboration and ownership. I build dashboard features daily and it's a real time saver. Managing databricks asset lifecycles is also very easy to integrate using DABs and git version control.
What do you dislike about the product?
Looking forward to liquid clustering to optimize dashboards automatically !
What problems is the product solving and how is that benefiting you?
I can write any SQL I want, over any sized table I have, and it just works !
It is the best data science tool for companies that need solid technical support
What do you like best about the product?
I like its intuitive, flexible, and robust user interface, which allows for complex customization and can be used by users of variety experience levels. Furthermore, the platform can handle large and complex datasets.
What do you dislike about the product?
Databricks allows us to seamlessly integrate and adapt to our clients' needs. It saves us a lot of time and helps us control could costs and human resource investments.
What problems is the product solving and how is that benefiting you?
Databricks has significantly improved the quality of life for our staff. We use the workflows feature to automate recurring tasks and conduct in-depth analysis of our current performance metrics.
Data Asset version control.
What do you like best about the product?
Big data analysis typically need the version control for all data assets for simplicity , this tool have it. This is one common platform for all data assets. We can export data assets in multiple formats.
What do you dislike about the product?
Version interface should be more simpler for beginners and pricing is also an issue.
What problems is the product solving and how is that benefiting you?
Very efficient tool for sharing data with external partners and managing them.
Real time Data Power Tool.
What do you like best about the product?
Team collaboration feature is the liked feature in this tool which helps to collaborate with collogues, security and compliance are robust in Databricks. This support open Lakehouse architecture.for unified storage.
What do you dislike about the product?
The manual tunneling option are limited in this , not suitable for beginners.
What problems is the product solving and how is that benefiting you?
for dicovering assets using smart search we using this tool , it is very efficient.
Unified Analystics and AI platform
What do you like best about the product?
The processing ability to process data at scale is accurate , and can be integrated with many software ,Databricks is highly reliable and very easy to use, Easy integrated with BI tool also
What do you dislike about the product?
High cost for beginners , need low tier plan for beginners.
What problems is the product solving and how is that benefiting you?
we use this data analytics and data governance and Ai model development ,Databricks Data intelligence is extraordinary.
Amazing Platform for Big Data Analysis and Data Management
What do you like best about the product?
One of the best Data management platform, I really like their ease to use integration and predefine templates that help a lot on data analytics without and efforts.
What do you dislike about the product?
I really like their services and their affordability and customer support always provide hassle free services.
What problems is the product solving and how is that benefiting you?
Mainly we are using Databricks only for Data analytics and data warehousing and both our work completing on time without any hassle and their user friendly infrastructure gives hassle free services that make our work more ease to use and best for our data management.
Highly scalable and developer friendly data solution.
What do you like best about the product?
I used the Databricks Data Intelligence Platform to build a real-time vehicle processing pipeline for a client in the logistics sector. The project involved collecting sensor data from hundreds of delivery trucks and processing it to detect anomalies and trigger alerts in real time. What I like best was how easily Databricks integrated with Azure Event Hubs because it allows me to stream data in and start processing instantly. I also used Delta Lake for storing clean data, which became the foundation of our analytic dashboard. Additionally, the Databricks rest API allowed us to trigger jobs from our monitoring systems, which enhances the automation to a great extend.
What do you dislike about the product?
Although the product is powerful, the learning curve for structured streaming was quite steep for new team members. I also encountered some integration limitations while sending alerts directly to external APIa from within notebooks. But we found workaround which involves using Azure Functions outside Databricks, which added some extra complexity.
What problems is the product solving and how is that benefiting you?
It has a major impact on our team’s productivity. Previously, our data engineers, cloud, architecture and analytic team worked on different tools which leads to delay and communication gaps. Now, with Databricks as the central platform, we collaborate in real time and debug issues together in shared notebooks.
Faster processing and scalability
What do you like best about the product?
It's a flexible solution that works well, it's designed to distribute data. It can easily scale to handle large amounts of data and offers numerous high-level features. I like the replication features.
What do you dislike about the product?
It could be better if there was a more optimized user interface, it can introduce relatively high latency for operations with small files.
What problems is the product solving and how is that benefiting you?
It helps process larger files in a shorter period of time and supports various resources manager and engines. This product is renowned for its reliability and meets the need to process large amounts of data.
Game changer
What do you like best about the product?
This lake house architecture brings the best of both data lakes and warehouses , so we don't have to deal with the unnecessary complexity. Delta lakes ensures reliability while the notebook based interface makes collaboration seamless. The platform ability to handle batch, streaming, and machine learning workloads in one place is a huge advantage.
What do you dislike about the product?
The pricing can get expensive, especially if workloads aren't optimized properly, also while the notebooks are great they could use better version control for collaborative work . the initial learning curve can be a bit steep for those new to spark but once you get the hang of it. It is powerful tool
What problems is the product solving and how is that benefiting you?
Databricks simplifies big data processing by providing a unified platform for batch and streaming workloads. It eliminates the complexity of managing infrastructure, ensuring scalability and performance without much manual effort . The collaborative notebooks make it easy to work with items and delta Lake improves data reliability. overall it saves a lot of time and effort in managing data workloads
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