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Beast When It Comes To Data On Cloud
What do you like best about the product?
1. ACID compliance on Data Lake which saves not only cost for storage but makes queries faster.
2. Customizable as per budget (by use of correct cluster sizing and other ways)
3. Init Scripts is really a boon if used correctly.
2. Customizable as per budget (by use of correct cluster sizing and other ways)
3. Init Scripts is really a boon if used correctly.
What do you dislike about the product?
1. Clusters often take up a lot of time to start up.
2. Many bugs were encountered personally on the new Unity Catalogue feature.
3. Missing Information Schema on Hive_Metastore.
2. Many bugs were encountered personally on the new Unity Catalogue feature.
3. Missing Information Schema on Hive_Metastore.
What problems is the product solving and how is that benefiting you?
The primary problem that Databricks Lakehouse Platform is solving is storing and processing big data. With its support of a wide variety of languages like Python, Scala, Sql etc it becomes mighty and helpful to process data. Role-based access management is a blessing for data governance.
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Databricks is the heart of our IAplatform which allows experimentation and industrialization
What do you like best about the product?
We have been using Azure data bricks for over three years. The evolution of data bricks is impressive, as well as its stability. When our users (data engineer, data scientist) want a new feature, it very often happens that within a week or three months, this feature is developed by the Databricks team. Magic
What do you dislike about the product?
As a user, if you want to keep pace with the new features and capacity of the platform, you have to stop sleeping :) And yet the documentation is abundant, and the media is of good quality.
What problems is the product solving and how is that benefiting you?
Sentiment detection use cases, anomaly/fraud detection, risky customer detection. By associating it with cognitive services, identity document recognition use cases, kyc.
Very Powerful Tool
What do you like best about the product?
Unified Data Platform
Apache Spark Power
Machine Learning Capabilities
Scalability and Elasticity
Data Integration and Connector
Unity Catalog and Data Governance
These are a few key points on what I like most about Databricks.
Apache Spark Power
Machine Learning Capabilities
Scalability and Elasticity
Data Integration and Connector
Unity Catalog and Data Governance
These are a few key points on what I like most about Databricks.
What do you dislike about the product?
Computations are costly
Dependency on Cloud Infrastructure
Limited Offline access
As of now, I can think of these points on what I dislike about Databricks Platform
Dependency on Cloud Infrastructure
Limited Offline access
As of now, I can think of these points on what I dislike about Databricks Platform
What problems is the product solving and how is that benefiting you?
Mostly, I use this tool to create Data Pipelines using Apache Spark. And it also gives us the capability to connect Databricks to Tableau for Data Visualisation directly.
Great Data Handling & Management platform.
What do you like best about the product?
This tool supports almost all types of data.
Supports even the partially arranged/aligned data also.
Provides a way for better data handling and Management ( like Unified View, graphical view, and Comparision graphs ), which helps in better decision-making.
Supports even the partially arranged/aligned data also.
Provides a way for better data handling and Management ( like Unified View, graphical view, and Comparision graphs ), which helps in better decision-making.
What do you dislike about the product?
Need a specified or specialized consultant to set up the tool because of the adaptability of this tool is complex.
Pricing is high compared to similar tools in the market.
Pricing is high compared to similar tools in the market.
What problems is the product solving and how is that benefiting you?
1) To build a unified portal for Data's unified view: From the legacy application of having data in different places, used this tool to create a unified portal of the data.
2) To integrate with AI and Machine Learning tools: Having the data in a unified way using this tool helps us to integrate with other devices ( But this required some high technical expertise)
2) To integrate with AI and Machine Learning tools: Having the data in a unified way using this tool helps us to integrate with other devices ( But this required some high technical expertise)
Best all-in-one Data Platform environment
What do you like best about the product?
By providing a fully-managed, highly performant and customizable Spark environment along with regular top-tier productivity features, Databricks is undeniably the most complete Data Platform in the market. My favorites features would be :
* Unity Catalog that provides colum-level lineage and a centralized access right management service
* Delta Live Table that provides easy to implement Data Quality control and monitoring
* Extensive CLIs that gives freedom in chosing your CI/CD platform
* Clusters policies that allows a better cost control
* Unity Catalog that provides colum-level lineage and a centralized access right management service
* Delta Live Table that provides easy to implement Data Quality control and monitoring
* Extensive CLIs that gives freedom in chosing your CI/CD platform
* Clusters policies that allows a better cost control
What do you dislike about the product?
The offline development can be improved. The recently release of a VsCode Extension and also Spark connect are steps towards this but still needs more features to be satisfying.
What problems is the product solving and how is that benefiting you?
Databricks helps us develop and deploy Data Products and train Machine Learning models more successfully in production, in very short amount of time, a secured environment and with controlled costs management.
Its compatibility with infrastructure-as-code tools such as Terraform also allows us to easily reproduce our standards accross multiple instances.
The integration with Azure Active Directory also eases the adoption and Access Control of resources and data assets.
Its compatibility with infrastructure-as-code tools such as Terraform also allows us to easily reproduce our standards accross multiple instances.
The integration with Azure Active Directory also eases the adoption and Access Control of resources and data assets.
Unified Platform for Analytics & Data Science
What do you like best about the product?
It's one platform that you can use, for all use cases, including Analytics, Data Science, ML Ops, & Data Engineering
What do you dislike about the product?
Unity Catalogue is still only for Databricks data. It still won't account for data in other places
What problems is the product solving and how is that benefiting you?
A unified platform for all our analytics processing
Best implementation of Lakehouse Architecture
What do you like best about the product?
It provides a brilliant view of the entire data journey. It is a one-stop solution or a unified platform for all related Data Science and Analytics activities. Do not see any alternative product in the market offering such capabilities.
What do you dislike about the product?
Need a much larger Databricks community for discussions and clarifications.
What problems is the product solving and how is that benefiting you?
It helps in Model experimentation and bringing out the best accurate model for usage. It is also supporting the models to be deployed for serving clients. The turnaround time for the requests has been significantly less, which has increased the performance of our system.
comprehensive data management platform
What do you like best about the product?
Its ability to integrate seamlessly with a wide range of data sources, both structured and unstructured.
Intuitive interface .
Advanced analytics tools
Intuitive interface .
Advanced analytics tools
What do you dislike about the product?
One drawback of DatbrickLakehouse is its pricing model.
What problems is the product solving and how is that benefiting you?
DatabrickLakehouse allows our businesses to consolidate the data in a central location, providing a single source of truth for all stakeholders in organisation.
Streamlining Data Management: My Experience with Databricks Lakehouse Platform
What do you like best about the product?
One of the primary benefits of Databricks Lakehouse Platform is its ability to unify data warehousing, data lakes, and streaming into a single, comprehensive platform. This allows users to easily access and analyze data from multiple sources in one place, improving efficiency and reducing complexity.
Another advantage is the platform's scalability and flexibility, which allows organizations to handle large volumes of data and adjust to changing business needs. Databricks Lakehouse Platform also offers powerful analytics and machine learning capabilities that enable users to gain deeper insights and make data-driven decisions.
In addition, the platform provides collaborative features that allow teams to work together on data-related projects, facilitating knowledge sharing and improving productivity. The platform's security and compliance features also ensure that data is protected and meets regulatory requirements.
Overall, Databricks Lakehouse Platform is a powerful tool that offers many benefits to organizations, including unified data management, scalability, flexibility, analytics, machine learning, collaboration, and security.
Another advantage is the platform's scalability and flexibility, which allows organizations to handle large volumes of data and adjust to changing business needs. Databricks Lakehouse Platform also offers powerful analytics and machine learning capabilities that enable users to gain deeper insights and make data-driven decisions.
In addition, the platform provides collaborative features that allow teams to work together on data-related projects, facilitating knowledge sharing and improving productivity. The platform's security and compliance features also ensure that data is protected and meets regulatory requirements.
Overall, Databricks Lakehouse Platform is a powerful tool that offers many benefits to organizations, including unified data management, scalability, flexibility, analytics, machine learning, collaboration, and security.
What do you dislike about the product?
For example, some users may find that the platform can be complex and may require a certain level of technical expertise to fully utilize its capabilities
What problems is the product solving and how is that benefiting you?
One of the key problems that Databricks Lakehouse Platform addresses is the challenge of managing and analyzing large volumes of data from various sources. The platform unifies data warehousing, data lakes, and streaming into a single, comprehensive platform, making it easier for organizations to access and analyze data from different sources in one place.
Another problem that Databricks Lakehouse Platform solves is the difficulty of integrating different data management and analytics tools. By providing a unified platform for data management, analytics, and machine learning, Databricks Lakehouse Platform eliminates the need for multiple tools and simplifies the integration process.
Another problem that Databricks Lakehouse Platform solves is the difficulty of integrating different data management and analytics tools. By providing a unified platform for data management, analytics, and machine learning, Databricks Lakehouse Platform eliminates the need for multiple tools and simplifies the integration process.
Databricks Lakehouse Solved lot of things
What do you like best about the product?
Data governance and security of data within the organization and provide dashboarding.
We can use choose the storage that is the most beautiful thing.
We can use it for SQL engine as well
We can use choose the storage that is the most beautiful thing.
We can use it for SQL engine as well
What do you dislike about the product?
nothing to say, I haven't seen any feature that is bothering me.
What problems is the product solving and how is that benefiting you?
It is cost-efficient and scales data lakes with the data management and ACID transactions of data warehouses.
It has new query engine designs providing high-performance SQL execution on data lakes.
It has new query engine designs providing high-performance SQL execution on data lakes.
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