Databricks Data Intelligence Platform
Databricks, Inc.External reviews
669 reviews
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External reviews are not included in the AWS star rating for the product.
Simplify development and increase velocity
What do you like best about the product?
Streamline development process by seamlessly connecting with Unity Catalog
What do you dislike about the product?
Result accuracy and ability to vertically knowledge base connection
What problems is the product solving and how is that benefiting you?
Centralized data government module provided by Unity Catalog and data lineage capturing
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)
Integrating engineering and learning, but cost challenges arise with cluster management
What is our primary use case?
I usually handle data ingestion and create warehouses. I also assist other teams, such as analytics, to create reports or perform other tasks.
What is most valuable?
Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood.
What needs improvement?
We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller.
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly. We need to stay in sync with the DVR versions, and migrations can pose challenges. For example, issues arose when we moved a cluster from a previous version to the latest one. We could use their job clusters, however, that increases costs, which is challenging for us as a startup. Maintaining this infrastructure can be a headache.
For how long have I used the solution?
I have worked at a couple of companies, not just the current one, and I have about 20 to 25 months of experience with Databricks.
What do I think about the stability of the solution?
They release patches that sometimes break our code. These patches are supposed to fix issues, but sometimes they cause disruptions.
What do I think about the scalability of the solution?
The patches have sometimes caused issues leading to our jobs being paused for about six hours. Fortunately, nothing important is currently running on Databricks, however, if there were, it would be a significant issue.
How are customer service and support?
They are good. My company has a contract with them that includes good support. Whenever we reach out, they respond promptly.
How would you rate customer service and support?
Neutral
What was our ROI?
With the benefits we receive, the price is reasonable. However, it's important to have good use cases. If it's just for data ingestion, it might not be the best solution price-wise. For a lot of different tasks, including machine learning, it is a nice solution.
What other advice do I have?
I would rate the solution seven out of ten. That rating also depends on how we have the contract with Databricks.
It's still a solid and good rating. I work as a data engineer and Databricks engineer.
Powerful and Intuitive
What do you like best about the product?
Notebook UI is easy use and debug while providing single line code runs,According to my use it works well API sources as well as on premises SSMS sources,multiple source integration is provided as well as some easy to read and write code works well.Also introduction of foreign Catalog has made it easier to implement different sources on cloud
What do you dislike about the product?
Concurrent Updates doesn't work makes it a pain to update single table from multiple threads
What problems is the product solving and how is that benefiting you?
It is optimizing API Calls, file retrievals, Data reads and Data Storage of Large tables in existing on premises Databases.
Reduces Job time to perform ETL on the Data Tables.
Reduces Job time to perform ETL on the Data Tables.
Provides seamless integration capabilities, but the cluster management features need improvement
What is our primary use case?
We use the product as a data science platform that enables me to handle and analyze large datasets efficiently.
What is most valuable?
Databricks can switch easily between cloud providers, such as Azure and GCP. It allows seamless integration with various data platforms and cloud providers, facilitating better data handling and analysis.
What needs improvement?
The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms like Snowflake. The ease and speed of managing clusters can also be enhanced, especially when scaling up resources. They could add more advanced data storage solutions like Iceberg and Delta files.
For how long have I used the solution?
I have been using Databricks for approximately two years.
What do I think about the stability of the solution?
I rate the product stability a seven out of ten.
What do I think about the scalability of the solution?
I rate the product scalability an eight.
How are customer service and support?
The technical support services are good.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup was straightforward. However, configuring policies could have been simpler.
What's my experience with pricing, setup cost, and licensing?
The product pricing is moderate.
Which other solutions did I evaluate?
I evaluated other options, including Snowflake, before choosing Databricks.
What other advice do I have?
Databricks is a robust solution for big data processing, offering flexibility and powerful features. While there are areas for improvement, especially in performance and cluster management, it remains a highly valuable tool in my data science toolkit.
I rate it a seven.
Manager Data Science
What do you like best about the product?
Unified platform with lots of capabilities, open source based. No vendor locked.
What do you dislike about the product?
Appears to have a learning curve. Not now-no code environment on par with PowerBI.
What problems is the product solving and how is that benefiting you?
Able to manage large-scale data and easily upkeep the pipelines for it.
Onboarding can be smoother
The onboarding process is not smooth. When account setup begins, theere is no way to move to a new email if previous one has not yet been activated. Also no way to know which email was used to setup the subscription sign up.
Had a great impressive experience
What do you like best about the product?
Totally impressive with Delta live tables, and created a poc with its and its really impressive with ease of use and high efficient for large datset.
What do you dislike about the product?
Azure data factory integration is not available to trigger the Delta live tables
What problems is the product solving and how is that benefiting you?
Effective in handling incremntal loads
Best product for both datalake and data warehouse reduce the cost and faster deliver the data
What do you like best about the product?
Best product for both datalake and data warehouse
cost reduce
cost reduce
What do you dislike about the product?
logging is not good
integration to visual is bit complex
integration to visual is bit complex
What problems is the product solving and how is that benefiting you?
data distribution on big data
Unified analytics platform
What do you like best about the product?
ACID tansaction support to delta lake.
it is a platform for both data engineering and data science.
flexibility with different tpe of data.
scalability and performance.
Integration with cloud services
collabration features
warehousing for real time or nearly real time data
it is a platform for both data engineering and data science.
flexibility with different tpe of data.
scalability and performance.
Integration with cloud services
collabration features
warehousing for real time or nearly real time data
What do you dislike about the product?
Cost will be the primary concern, that can make serveral firms to go for other optins.
maintenance for the complex deployments
maintenance for the complex deployments
What problems is the product solving and how is that benefiting you?
Impoved performance and scalability in processing the data.
Easier adoption of advance analytics tools.
Helps in Real Time Data processing.
Adopting ACID properties into lakehouse helps in data quality and readability.
Easier adoption of advance analytics tools.
Helps in Real Time Data processing.
Adopting ACID properties into lakehouse helps in data quality and readability.
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