Databricks Data Intelligence Platform
Databricks, Inc.External reviews
640 reviews
from
and
External reviews are not included in the AWS star rating for the product.
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.
Great advanced analytical tool that utilises Spark to fullest
What do you like best about the product?
Its ability to combine big data processing with machine learning makes it possible to do advanced analytics and data engineering efficiently in one space. Its scalable design and collaborative workspace also make it simple for teams to work together and process large datasets without slowing down the system
What do you dislike about the product?
One downside of the Databricks Data Intelligence Platform is the steep learning curve for new users, especially when navigating complex features like Delta Lake and managing large-scale workloads
What problems is the product solving and how is that benefiting you?
It provides a unified environment for analytics, machine learning, and data engineering, addressing issues like managing massive datasets, scaling machine learning models and enables team collaboration. While collaborative notebooks improve teamwork, increasing productivity and speeding the implementation of data-driven solutions, its interaction with Apache Spark and Delta Lake guarantees effective data processing, consistency, and version control.
Cloud platform enables advanced collaboration but new SAP data feature could enhance its capabilities
What is our primary use case?
I am currently working as an IT architect. We have an AWS analytics platform, a cloud-based platform. We use Databricks for our AI/ML requirements and also the Databricks platform. For the past year, we have been using Databricks for our data scientist community to build their apps.
What is most valuable?
Databricks has a Unified Catalog that assists with secured access and governance. Additionally, serverless computing is crucial for our computing needs. Its collaboration features, such as data sharing capabilities, are also outstanding. Overall, the platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
What needs improvement?
I heard that a new feature is being developed for SAP that can bring SAP data directly into the platform for generating reports. This feature, if made publicly available, may act as a game-changer, considering many global organizations use SAP data for their ERP requirements.
For how long have I used the solution?
We have been using Databricks for one year.
What was my experience with deployment of the solution?
We did not experience deployment issues as we have an internal database AWS cloud admin team. We worked directly with Databricks personnel to configure our requirements.
What do I think about the stability of the solution?
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far. However, since we are still in the process of building much on the platform, we are still observing its stability.
What do I think about the scalability of the solution?
Databricks is an easily scalable platform. It leverages the cloud advantage directly, and scalability is one of the great features of the cloud platform.
How are customer service and support?
We have a customer portal where we can raise issues. As of now, we are raising issues and they are providing solutions without any problems.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
Before Databricks, we were using the R Studio platform for our advanced analytics requirements. We switched to Databricks because it is an advanced platform compared to R Studio.
How was the initial setup?
The initial setup of Databricks could be complex. We set it up with AWS as the backend. It's crucial to have both cloud-specific knowledge and how to configure its features in the platform.
What about the implementation team?
We have our internal database AWS cloud admin team. We did not use external integrators or consultants.
What was our ROI?
We haven't yet seen an ROI from this solution, as we are still using and observing the platform.
What's my experience with pricing, setup cost, and licensing?
There are some issues with pricing specific to our accounts, and Databricks is investigating. It is not a cheap solution.
Which other solutions did I evaluate?
We previously used R Studio before switching to Databricks.
What other advice do I have?
I would recommend Databricks as an advanced analytics platform. It offers features to quickly pull data from various sources required for report generation. Overall, I rate this solution as seven or eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Why Databricks Data Intelligence Platform?
What do you like best about the product?
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.
What do you dislike about the product?
Databricks is great, but the cost can escalate quickly, especially with high workloads and auto-scaling.
What problems is the product solving and how is that benefiting you?
Databricks makes working with data easier by combining analytics, AI, and storage in one place. It helps teams work faster, automate tasks, and get insights quickly—saving time and effort.
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
Easy to use, easy to access support system, unified lakehouse architecture and timely new features.
What do you like best about the product?
Flexibility of using languages like Python, Pyspark and SQL. New file arriving feature. variety of options to connect with almost all kind of source. Very simple implementation of unity catalog which was hard to manage initially. Volumn that works seamless with python/pandas code.
What do you dislike about the product?
Databricks diagnose error suggestion. Failed to provide queries for like mail attachment extraction, AES 256 encrypt code etc. Very good for support in python, pyspark and SQL code but not in rare usecase like mentioned above.
What problems is the product solving and how is that benefiting you?
Complex logic and Expensive processing, Unified batch and stream processing, data governance by unity catalog, use of separate BI tool etc.
Databricks Analytics Amazing Tool
What do you like best about the product?
It provide codes based on taking context from previous cells, which helps in developing code better.
Serverless querying is faster and cheaper, which helps build and query effectively.
Serverless querying is faster and cheaper, which helps build and query effectively.
What do you dislike about the product?
Nothing disappointing about this product.
What problems is the product solving and how is that benefiting you?
Helps ingest data from various sources and structure data properly. Unity catalogue also helps in data governance as similar data under a single catalogue.
It helps create jobs and utilities based on custom requirement.
It helps create jobs and utilities based on custom requirement.
Unified Data Analytics Platform
What do you like best about the product?
There are so many features which I loved and some of them are unity catalog (data governance), Serverless compute (sql warehouse) and delta acid transactions (time travel in case of accidental data delete or update)
What do you dislike about the product?
there is nothing to say but in previously when databricks changed the UI design then little bit problem occured but now I am used to
What problems is the product solving and how is that benefiting you?
Its real streaming helps lot as we receive the data in near to real time and its provides all the supporting features apart from this easy to make different kind of ETL and data integration from various source
Accelerate your development cycle with Databricks Data Intelligence Platform
What do you like best about the product?
It accelerates development cycles, improves scalability, supports real-time insights, and empowers users to harness the full potential of big data and AI. It's a powerful tool for turning raw data into actionable insights quickly.
What do you dislike about the product?
It takes some time to learn all the available features.
What problems is the product solving and how is that benefiting you?
Databricks Data Intelligence Platform Addresses several challenges, such as managing large-scale data, integrating disparate data sources, enabling collaboration across teams, and speeding up analytics and AI workflows. By providing a unified environment for data engineering, machine learning, and business analytics, it simplifies complex tasks and reduces operational overhead
Multiple features with best data management tools and Integration
What do you like best about the product?
The experience of data visualization with data bricks is very great and their top notch services make work more easier and smooth for machine learning. They have integration where we can easily deploy ML modules on them without any extra integration.
What do you dislike about the product?
All are good and very supportive, their team always be their whenever we need any help they replied very quick with resolution. i really enjoyed their multi features integration that make them our frequent tool for ML and Dep learning devloping.
What problems is the product solving and how is that benefiting you?
They have really broad infrastructure that supports all types of development works without any hassle. They have quick implementation and fast response that manage our all needs without any delay.
showing 201 - 210