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Databricks
What do you like best about the product?
A single unified platform that can be used for both real-time and batch data ingestion patterns to fulfill both BI and advanced analytics use cases.
What do you dislike about the product?
Nothing. I absolutely love the platform.
What problems is the product solving and how is that benefiting you?
is helping us build a Unified Data Platform.
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Best Lakehouse Platform for building enterprise data pipelines for business needs
What do you like best about the product?
No 1 - Delta Lakehouse platform supports ACID transactions (Data lake + Datawarehouse)
Easy DLT pipeline with lineage & quality
Unified governance with the unity catalog
Support Schema evolution
Exceptional AUTOLOADER capability
Easy DLT pipeline with lineage & quality
Unified governance with the unity catalog
Support Schema evolution
Exceptional AUTOLOADER capability
What do you dislike about the product?
Awaiting for the Serverless Data engineering pipeline with NO capacity planning outside DLT with SLA-based scaling ( I know it's on ROADMAP, I am waiting).
More features on GCP+Databricks integration compared to same as AWS, Azure. (Some capabilities like credential passthrough missing in GCP)
More features on GCP+Databricks integration compared to same as AWS, Azure. (Some capabilities like credential passthrough missing in GCP)
What problems is the product solving and how is that benefiting you?
Data Lake + Datawarehousing (Unifies Lakehouse Platform)
Delta lake capabilities
Schema evolution
Data quarantine & Data Quality
Data Integration & Transformations
Delta lake capabilities
Schema evolution
Data quarantine & Data Quality
Data Integration & Transformations
Recommendations to others considering the product:
Kindly go for this for building a cloud-native lakehouse platform for big data batch/streaming ingestion, quality, transformations and building the medallion lakehouse architecture (unified data lake + Datawarehouse) data mesh experience for end consumers. Best in the market which supports AWS,AZURE and GCP cloud.
Partner Connect, Advanced analytics/MLOPS/Data science Auto-ML also looks good with improving salient features.Go for this product which combines all in one suite
Data Sharing (Delta Sharing) is quite useful for security/compliance
Partner Connect, Advanced analytics/MLOPS/Data science Auto-ML also looks good with improving salient features.Go for this product which combines all in one suite
Data Sharing (Delta Sharing) is quite useful for security/compliance
easy to use platform for large scale data ETL and analytics
What do you like best about the product?
Has tools like AutoML which reduces human effort and increases better predictions and deeper understanding of the data
What do you dislike about the product?
The platform can be slow sometimes. Other than that not major issues worth mentioning
What problems is the product solving and how is that benefiting you?
Analysis and Analytics. Use case - Labour market research
Great Experience All Around
What do you like best about the product?
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script experience and synchronize to git.
What do you dislike about the product?
Debugging code and using interactive applications outside out databricks approved tools can be tricky. It is hard to get a grasp of the documentation for beginners to the platform.
What problems is the product solving and how is that benefiting you?
Highly scalable data pipelines with machine learning tools. Geospatial analyses. The scalability of the platform really increased our efficiency and reaction speed to customer requirements.
High performance with low complexity
What do you like best about the product?
The way that works with the delta format. Providing a lot of possibilities without the necessity to have a dedicated database administrator. It's also nice to talk about their flexibility
What do you dislike about the product?
Sometimes the cluster management is not so well distributed, causing some necessity to restart the cluster. Maybe send some warnings before it gets non workable.
What problems is the product solving and how is that benefiting you?
Problems: Increasing data results in almost a logarithmic increase in the cost. The main benefits were regarding the costs and the flexibility that's delta format provide
One stop place for setting up my entire data analysis pipeline
What do you like best about the product?
It offers multi-cloud support across AWS, GCP, and Azure
New features are aggressively released every quarter.
The UI is relatively user-friendly compared to AWS EMR or other similar products
New features are aggressively released every quarter.
The UI is relatively user-friendly compared to AWS EMR or other similar products
What do you dislike about the product?
Errors are not entirely straightforward sometimes.
Regular Maintenance can sometimes cause downtime or failure, which can be solved with proper scheduling and retry mechanisms.
Regular Maintenance can sometimes cause downtime or failure, which can be solved with proper scheduling and retry mechanisms.
What problems is the product solving and how is that benefiting you?
It is higly efficient in executing queries, analyzing data, performing complex table joins if workloads are properly setup across high-performing clusters.
Lakehouse helps solving Big data , streaming and Analytical problem
What do you like best about the product?
Delta Lake , SQL Analytics , Optimized Photon engine
What do you dislike about the product?
Notebook UI , performance for SQL analytics on huge volume on the fly aggregate calculations
What problems is the product solving and how is that benefiting you?
Big data problem, ML , SQL analytics , Streaming and replacing traditional Oracle Datawarehouse
Recommendations to others considering the product:
Yes highly recommended for setting up Hadoop kind of cluster and dealing with Big data and Analytics and Machine learning ML flow.
Databricks as a market leader
What do you like best about the product?
It is a one-stop shop for all. It is clearly the best data processing solution that I have ever used.
What do you dislike about the product?
There is still room for improvements - for example, when you deploy, it could be nice to set the configuration of DBFS storage (is it LRS or GRS, etc.). When VMs are deployed, there should be more options to configure hard drives. It is a minor issue related to administrative tasks, but anyway, it is the best lakehouse on the market today.
What problems is the product solving and how is that benefiting you?
Data processing, data lake, machine learning, streaming live data...
Data Scientist
What do you like best about the product?
Experiment management, and model deployment.
What do you dislike about the product?
Support for code engineering and version control.
What problems is the product solving and how is that benefiting you?
Predictive modeling.
Its very helpful when we train ml model for tracking
What do you like best about the product?
Machine learning model tracking and find best weight
What do you dislike about the product?
Add support for other programming language like cpp
What problems is the product solving and how is that benefiting you?
Tracking multiple training and find out best weights
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