The platform's most valuable features include its ability to effectively summarize and manage large datasets, allowing multiple teams to analyze and generate insights. Its integration with data lakes for business impact analysis, performance metrics, and KPIs is particularly important.
Snowflake AI Data Cloud
SnowflakeExternal reviews
687 reviews
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Generates metrics efficiently, but the integration process needs enhancement
What is most valuable?
What needs improvement?
Improvement is needed in integrating external tools, such as data catalogs, which can be complicated due to differing formats and usage across departments. The goal is to enhance collaboration and streamline workflows.
What do I think about the scalability of the solution?
The product's scalability is crucial for managing petabyte-scale data generated daily across various regions, allowing for efficient data validation and handling.
How was the initial setup?
The primary challenges during the initial setup were the high pricing and uncertainties regarding future costs associated with data usage.
The deployment involved consultation among managers, agreement on on-site requirements, scale calculations, and collaboration with engineers for setup approval.
I rate the process a seven out of ten.
What other advice do I have?
Snowflake is integrated through a complex workflow that involves collecting data on the publisher side, using tools like Airflow and Kafka for batch jobs, and frequently importing data into the product from various sources, including S3 and Data Lakes. It creates a smooth data pipeline.
I rate it a seven out of ten.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
The product enables users to import data quickly from different sources, but exporting data to third-party solutions is difficult
What is our primary use case?
The solution is very good for building data warehouses. However, it has some limitations if we need it for more use cases.
What is most valuable?
All the features of the product that are needed for the data warehouse are good. The solution enables the ingestion of data and the usability of preferred languages while creating the data. The performance of the engine is good. The solution speeds up the process of onboarding. We can connect to different sources and get the data very fast.
The tool does a very good job in reporting and data transformation. We can adapt it well to our needs. When we try to ingest data from many sources, it helps harmonize the data sources. It also helps with duplication and cleaning of the data. It is a pretty difficult and time-consuming task, and Snowflake helps us with it.
What needs improvement?
I do not like the proprietary format of the solution. Getting data out of the tool to third-party applications is difficult. The data science workloads must be improved. Snowflake has a lot to learn. There are better options in the market for data science.
For how long have I used the solution?
I have been using the solution for almost three years.
What do I think about the stability of the solution?
The tool is stable. I rate the stability a nine or ten out of ten.
What do I think about the scalability of the solution?
If we need to scale up, it will impact our costs. I work in a consulting company. We have a department dedicated to Snowflake. We have seven to eight people on our team. Our clients were medium-sized businesses with 1000 employees. They are focused on data analytics solutions. They also have departments for Azure and AWS. I rate the tool’s scalability a seven or eight out of ten.
How was the initial setup?
I rate the ease of setup a seven or eight out of ten. The tool is deployed on the cloud. The time taken for deployment depends on the workload and how we build it.
What's my experience with pricing, setup cost, and licensing?
The solution is expensive. I rate the pricing a nine out of ten.
What other advice do I have?
We are partners. The impact of the solution’s automatic scaling feature on the workload depends on how we build our workload. The vendor must take a look at the market and how technologies evolve. The solution can do more in the area of distributed systems. If our use cases require data scientists, I rate the tool a three or four out of ten. I rate the tool a nine or ten out of ten for SQL data warehouse use cases. Overall, I rate the product a seven out of ten.
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