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All in one Platform
What do you like best about the product?
Integration and flebility on the daily base speed up the development and delivery. Data lake and data sharing is amazing and away from the competitors in the market.
What do you dislike about the product?
It should be ease to get improvements in the platform and embedded reports for daily basis usage.
What problems is the product solving and how is that benefiting you?
Nothing
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Game change in data industry. Scalable and open solutions democratizing the data access.
What do you like best about the product?
Delta lake house implementation, enabling and democratizing the data acquisition and consumption. The delta sharing initiative is so disrupting to creating data assets.
What do you dislike about the product?
It seems that we could have an easier way to suggest improvements or new features needed in the daily activities. Overall good features.
What problems is the product solving and how is that benefiting you?
Scalability and reliability on data pipelines
Efficient, user-friendly and flexible
What do you like best about the product?
All integrated platform with different tools.
What do you dislike about the product?
More visible way to manage and maintain Delta lakes
What problems is the product solving and how is that benefiting you?
Real-time transactional data storage for faster predictive maintenance.
Very excited to work using Databricks!
What do you like best about the product?
The ability to work with other professionals (data engineers and other data scientists) on the same platform. I trust Databricks and believe that they will always provide cutting-edge solutions that make Data Science projects more robust, easy and black-box-proof.
What do you dislike about the product?
Sometimes I feel a bit trapped in the platform. Solutions like Databricks-connect and DBX are great but still miss a development environment more robust than notebooks. For this reason, I tend to use virtual machine from Azure Machine Learning to develop python packages and use Databricks as a compute platform to run queries against Big Data.
What problems is the product solving and how is that benefiting you?
Developing Machine Learning models and leveraging my company's data. Other tools are more complex to use and Databricks simplify our development and our analysis.
Databricks
What do you like best about the product?
Really helpful abstractions, intuitive UI and attentive support.
What do you dislike about the product?
Very hermetic environment. Could allow more integrations with outer platforms.
What problems is the product solving and how is that benefiting you?
It really facilitates the construction and testing of daily workloads.
Changes due to Lakehouse usage
What do you like best about the product?
Databricks Data Science and Engineering Workspace allows writing the coding in various languages and it enables the ingestion process simpler and guarantee that data available for business queries are reliable and current
What do you dislike about the product?
Reusing the Cluster feature and delta live tables features was the least liked process, due to the missing link to the GIT integration directly from the Repos.
If this is available then we will be able to use these cool features widely
If this is available then we will be able to use these cool features widely
What problems is the product solving and how is that benefiting you?
Databricks Lakehouse platform has been used to resolve the common Big Data and the AI problems and helped our organization to utilize the cool compute features of Databricks
Databricks Rocks!
What do you like best about the product?
combines data warehousing with data lakes; ease of use and implementation; compatibility with BI tools
What do you dislike about the product?
nothing i can think of - databricks is awesome
What problems is the product solving and how is that benefiting you?
it helps with business intelligence and analytics and is easily used with our techstack
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.
Great platform for collaboration and data analysis
What do you like best about the product?
Integration with Github repos and CI/CD pipelines. Also having different ways to collaborate with team members and stakeholders (repos, workspace, Databricks SQL)
What do you dislike about the product?
Depending on cluster settings and number of users running queries at the same time and the number of jobs running at the same time, it can sometimes take time to run queries
What problems is the product solving and how is that benefiting you?
Having a single place to store data and being able to merge it and analyze it together is useful to enable insights for the decision-making roles as well as operations teams
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
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