My company uses Databricks to process real-time and batch data with its streaming analytics part. We use Databricks' Unified Data Analytics Platform, for which we have Azure as a solution to bring the unified architecture on top of that to handle the streaming load for our platform.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
628 reviews
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Data + AI should be unified
What do you like best about the product?
Before exploring Databricks I had worked on many tools & their integration to make Data flow simpler but Databricks is doing wonders in this space by unifying Data + AI at one platform & also giving smooth UI to Intereatc & get your job done in a simplified manner
What do you dislike about the product?
Although my experience is really good but what I have observed is that data bricks is doing wonders with Azure most of the time, I think they introduce Databricks as PAAS with other platforms like AWS especially.
What problems is the product solving and how is that benefiting you?
I think overall the Platform is really good but I loved their Data Governance support using Catalog is really a solution to most of the Data Governance problems.
The best lakehouse on the market
What do you like best about the product?
- SQL warehouse,
- MLflow,
- Delta,
- Ecosystem
- MLflow,
- Delta,
- Ecosystem
What do you dislike about the product?
- Dashboards could be improved to match BI product's capabilities
What problems is the product solving and how is that benefiting you?
Data engineering and machine learning
An easy to setup tool that provides its users with an insight into the metadata of the data they process
What is our primary use case?
What is most valuable?
The most valuable feature of the solution stems from the fact that it is quite fast, especially regarding features like its computation and atomicity parts of reading data on any solution. We have a storage account, and we can read the data on the go and use that since we now have the unity catalog in Databricks, which is quite good for giving you an insight into the metadata of the data you're going to process. There are a lot of things that are quite nice with Databricks.
What needs improvement?
Scalability is an area with certain shortcomings. The solution's scalability needs improvement.
For how long have I used the solution?
I have been using Databricks for a few years. I use the solution's latest version. Though currently my company is a user of the solution, we are planning to enter into a partnership with Databricks.
What do I think about the stability of the solution?
It is a stable solution. Stability-wise, I rate the solution an eight to nine out of ten.
What do I think about the scalability of the solution?
It is a scalable solution. Scalability-wise, I rate the solution an eight to nine out of ten.
My company has a team of 50 to 60 people who use the solution.
How are customer service and support?
Sometimes, my company does need support from the technical team of Databricks. The technical team of Databricks has been good and helpful. I rate the technical support an eight out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup phase of Databricks was good. You can spin up clusters and integrate those with DevOps as well. Databricks it's quite nice owing to its user-friendly UI, DPP, and workspaces.
The solution is deployed on the cloud.
The time taken for the deployment depends on the workload.
What's my experience with pricing, setup cost, and licensing?
I cannot judge whether the product is expensive or cheap since I am unaware of the prices of the other products, which are competitors of Databricks. The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts.
What other advice do I have?
It is a state-of-the-art product revolutionizing data analytics and machine learning workspaces. Databricks are a complete solution when it comes to working with data.
I rate the overall product an eight out of ten.
Embracing the Future : A Deep Dive into Databricks Lakehouse Platform
What do you like best about the product?
1. Advanced Analyrics and AI : Beyond traditional data management , Databricks Lakehouse platform offera a comprehesive suite of tools for advanced analytics and artificak Intelligence,
2. Data Quality and Goverance.
2. Data Quality and Goverance.
What do you dislike about the product?
Databrikcs platform offer numerous benefits and innovative features, but few aspects might find less favorable like
1. Complexity of New Users
2. Cost Considerations.
3.Limited Flexibility
1. Complexity of New Users
2. Cost Considerations.
3.Limited Flexibility
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse platform aims to address several challenges that organizations face in the realm of data management , analystics and decision making.
1. Unified Data Platform
2.Advanced Analytics and AI
1. Unified Data Platform
2.Advanced Analytics and AI
Databricks - Unified solution for Data Engineering and AI
What do you like best about the product?
Databricks Intelliegence Platform provide a common platform for ETL,Reporting and AI. It's help user to monitor all the data lineage with the help of Unity Catalog and that can be used to create audit report at account level also databricks Genie help user to direct query the tables with simple english words.
What do you dislike about the product?
Overall it's good for Data Engineer ML Engineer and Analysts but need to work on workflow part that can be more robust and feature reach
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse Platform provides multiple inbuilt fetaures that help developers and admin to manage the data efficiently. We had big issue related to data governance but with the help of Databricks Unity Catalog we can now govern the data and it's also help us to track the workspace access.
Databricks provide inbuilt ML models that help us to escalate the development process.
Databricks provide inbuilt ML models that help us to escalate the development process.
Most advanced data platform
What do you like best about the product?
Databricks has been developing an excellent product with new features being added constantly. ETL/ELT, dbt integration, integration with external sources, and many more features make it a product that is versatile and highly effective. Managment of permissions is also extremely easy.
What do you dislike about the product?
Some automated recommendations on optimizing jobs are lacking, so you could end up spending quite a lot of money without the best performance. The platform is also not for small scale use-cases.
What problems is the product solving and how is that benefiting you?
Databricks is providing the fundamental building block of our data warehouse + data lake + data processing platform from which other systems receive analytics data.
Unified Still Federated Lakehouse Platform
What do you like best about the product?
A great platform to focus on industry challenges around data and ai. Good part is solutions for those challenges are quickly built, tested and released. Participation during private preview also make sure that these solutions are fit for purpose to industry challenges.
Best features floats around combining data lake and datawarehouse capability to help reduce cost and deliver faster with improved security
Best features floats around combining data lake and datawarehouse capability to help reduce cost and deliver faster with improved security
What do you dislike about the product?
Its integration with native cloud services is still weak, out of the box integration & use with org identify federation is still not mature. Along with capability to integrate with enterprise catalog and buillding a unified metric system for organization.
What problems is the product solving and how is that benefiting you?
Unified view for all our data sources, easy sharing of data with our product team, easy platform for data owners to democratise their data. and central place to apply security and governance.
It is a one stop solution to collaborate for all Data Engineering and Data Science activities
What do you like best about the product?
Collaboration,Feature store,MLOps,scheduling
What do you dislike about the product?
Don't have a way to put dependencies between workflows
What problems is the product solving and how is that benefiting you?
It has helped me build the datalake for business intelligence usecases
One of the best cloud data warehousing solution
What do you like best about the product?
Databricks Lakehouse Platform impressively unifies data lakes and data warehouses, empowering seamless data access and analysis. Its Apache Spark-powered engine ensures lightning-fast processing, while advanced analytics and machine learning capabilities drive data-driven insights. With robust security, auto-scaling, and managed services, Databricks simplifies data management and boosts collaboration among data teams. An extensive range of integrations further enhances its versatility, making it a game-changer for data-driven organizations.
What do you dislike about the product?
Learning curve - for users unfamiliar with Apache Spark there may be a learning curve to fully utilize platform capabilities.
Complexity - managing and optimizing large-scale data workflows can be comples, requiring skilled data engineers and administrators,
Sometimes new features are not fully tested, which may cause some problems in the future - but honestly it's not a big disadvantage.
Complexity - managing and optimizing large-scale data workflows can be comples, requiring skilled data engineers and administrators,
Sometimes new features are not fully tested, which may cause some problems in the future - but honestly it's not a big disadvantage.
What problems is the product solving and how is that benefiting you?
Keeping everything as all in one product for creating ETL pipelines and data governance solutions. Also it lets you simply scale your workload if it's really needed.
Easy integration for Data from Marketplaces
What do you like best about the product?
- Easily integrate data from the marketplace into your own ML models and data pipelines
- Open source nature allows for easy integration into existing tools
- Open source nature allows for easy integration into existing tools
What do you dislike about the product?
- Can be difficult to configure clusters for cost and performance optimizations
What problems is the product solving and how is that benefiting you?
We are able to process Billions of records of data each day. This would not have been possible without the Databricks platform.
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