Director -Data Architecture and Engineering at Decision Minds
Real User
Feb 23, 2021
Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility.
It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning and SQL tuning is on Snowflake.
Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake.
Snowflake has three great features: Snowpiping is proving to be very valuable, Time Travel is excellent, and Snowpipes are another great functionality the solution has made available.
Its ability to optimize the cost with features such as Pause/Auto-resume Compute engines (aka warehouses), a zero-copy clone of tables, zero cost to xfer AWS s3 files to tables within the same region, monitor cost using snowsight dashboards, etc.
This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere.
Big Data & Cloud Manager at a tech services company with 1,001-5,000 employees
Real User
Mar 18, 2022
It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability.
director of business operations at a logistics company with 51-200 employees
Real User
Nov 7, 2021
It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well.
Vice President of Business Intelligence and Data Engineering at a comms service provider with 201-500 employees
Real User
Sep 28, 2021
All the people who are working with Snowflake are extremely happy with it because it is designed from a data-warehousing point of view, not the other way around. You have a database and then you tweak it and then it becomes a data warehouse.
General Manager of Data Science at a non-profit with 501-1,000 employees
Real User
Jun 3, 2021
The ETL and data ingestion capabilities are better in this solution as compared to SQL Server. SQL Server doesn't do much data ingestion, but Snowflake can do it quite conveniently.
CEO at a computer software company with 51-200 employees
Real User
Apr 15, 2021
Snowflake is an enormously useful platform. The Snowpipe feature is valuable because it allows us to load terabytes and petabytes of data into the data mart at a very low cost.
Practice Head, Data & Analytics at a tech vendor with 10,001+ employees
Real User
Apr 9, 2021
The way it is built and designed is valuable. The way the shared model is built and the way it exploits the power of the cloud is very good. Certain features related to administration and management, akin to Oracle Flashback and all that, are very important for modern-day administration and management.
It is also good in terms of managing and improving performance, indexing, and partitioning. It is sort of completely automated. Everything is essentially under the hood, and the engine takes care of it all. As a data warehouse on the cloud, Snowflake stands strong on its ground even though each of the cloud providers has its own data warehouse, such as Redshift for AWS or Synapse for Azure.
It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud.
It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it.
Associate Manager at a consultancy with 501-1,000 employees
Real User
Feb 1, 2021
Its performance is a big advantage. When you run a query, its performance is very good.
The inbound and outbound share features are also very useful for sharing a particular database. By using these features, you can allow others to access the Snowflake database and query it, which is another advantage of this solution.
It has good security, and we can easily integrate it. We can connect it with multiple source systems.
AVP Enterprise Architecture at a financial services firm with 501-1,000 employees
Real User
Jan 24, 2021
The overall ecosystem was easy to manage. Given that we weren't a very highly technical group, it was preferable to other things we looked at because it could do all of the cloud tunings. It can tune your data warehouse to an appropriate size for controlled billing, resume and sleep functions, and all such things. It was much more simple than doing native Azure or AWS development.
It was stable, and their support was also perfect. It was also very easy to deploy. It was one of those rare times where they did exactly what they said they could do.
The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also.
Sr. Technical Architect - Business Intelligence / Data Warehouse at a computer software company with 1,001-5,000 employees
Real User
Dec 24, 2020
Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services.
Co-founder & Delivery Lead at a tech services company with 1-10 employees
Real User
Nov 9, 2020
The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem.
Vice President of Business Intelligence and Data Engineering at a comms service provider with 201-500 employees
Real User
Dec 12, 2019
The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services.
Data & Analytics Practitioner at a tech services company with 1,001-5,000 employees
Real User
Oct 21, 2019
They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises.
Business Intelligence Consultant at a tech services company with 201-500 employees
Consultant
Oct 6, 2019
The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications.
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its...
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
Many features:
1) Separate warehouse and the control user gets on it.
2) Auto caching features
3) Json and XML handling
4) Minimal DBA activity
Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility.
It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning and SQL tuning is on Snowflake.
Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake.
The product's most important feature is unloading data to S3.
It is very fast and the performance is great.
The solution's customer service is good.
Data Science capabilities are the most valuable feature.
This solution has helped our organization by being easy to maintain and having good technical support.
The features I found most valuable with this solution are sharing options and built-in time zone conversion.
Snowflake has three great features: Snowpiping is proving to be very valuable, Time Travel is excellent, and Snowpipes are another great functionality the solution has made available.
Snowflake is faster than on-premise systems and allows for variable compute power based on need.
Scaling is a big plus point of Snowflake.
It's user-friendly. It's SQL-driven. The fact that business can also go to this application and query because they know SQL is the biggest factor.
The most valuable feature of Snowflake is it's an all-in-one data warehousing solution.
A user-friendly and reliable solution.
The most valuable feature is the clone copy.
Its ability to optimize the cost with features such as Pause/Auto-resume Compute engines (aka warehouses), a zero-copy clone of tables, zero cost to xfer AWS s3 files to tables within the same region, monitor cost using snowsight dashboards, etc.
This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere.
Time travel is one feature that really helps us out.
It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability.
Snowflake's most valuable features are data enrichment and flattening.
The speed of data loading and being able to quickly create the environment are most valuable.
The Time Travel feature is helpful for accessing historical data and the ability to clone external tables is useful.
It was relatively easy to use, and it was easy for people to convert to it.
Once you have finished your designs they can be easily imported to Snowflake and the information can be readily accessed without an IT expert.
It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well.
All the people who are working with Snowflake are extremely happy with it because it is designed from a data-warehousing point of view, not the other way around. You have a database and then you tweak it and then it becomes a data warehouse.
Its performance is most valuable. As compared to SQL Server, we are able to see a significant improvement in performance with Snowflake.
The most valuable features are sharing data, Time Travel, Zero Copy Cloning, performance, and speed.
The solution is very easy to use.
The ETL and data ingestion capabilities are better in this solution as compared to SQL Server. SQL Server doesn't do much data ingestion, but Snowflake can do it quite conveniently.
Snowflake is an enormously useful platform. The Snowpipe feature is valuable because it allows us to load terabytes and petabytes of data into the data mart at a very low cost.
The way it is built and designed is valuable. The way the shared model is built and the way it exploits the power of the cloud is very good. Certain features related to administration and management, akin to Oracle Flashback and all that, are very important for modern-day administration and management.
It is also good in terms of managing and improving performance, indexing, and partitioning. It is sort of completely automated. Everything is essentially under the hood, and the engine takes care of it all. As a data warehouse on the cloud, Snowflake stands strong on its ground even though each of the cloud providers has its own data warehouse, such as Redshift for AWS or Synapse for Azure.
Working with Parquet files is support out of the box and it makes large dataset processing much easier.
I have found the solution's most valuable features to be storage, flexibility, ease of use, and security.
For us, the virtual warehousing is likely the most valuable aspect.
The pricing is reasonable and matches the rest of the market.
The technical support on offer is excellent.
It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud.
It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it.
Its performance is a big advantage. When you run a query, its performance is very good.
The inbound and outbound share features are also very useful for sharing a particular database. By using these features, you can allow others to access the Snowflake database and query it, which is another advantage of this solution.
It has good security, and we can easily integrate it. We can connect it with multiple source systems.
Its speed and performance were the most valuable. Easy configuration of Snowflake in any cloud was also a benefit.
The overall ecosystem was easy to manage. Given that we weren't a very highly technical group, it was preferable to other things we looked at because it could do all of the cloud tunings. It can tune your data warehouse to an appropriate size for controlled billing, resume and sleep functions, and all such things. It was much more simple than doing native Azure or AWS development.
It was stable, and their support was also perfect. It was also very easy to deploy. It was one of those rare times where they did exactly what they said they could do.
The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also.
Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services.
The technical support is pretty good, particularly if you are a more technical user.
The syntax is advanced which reduces the time to write code.
The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem.
The Mbps they have established is quite a bit faster than any other data warehouse.
The initial setup is very simple.
It's ultra-fast at handling queries, which is what we find very convenient.
Can be leveraged with respect to better performance, auto tuning and competition.
The querying speed is fast.
The solution is very stable.
From a data warehouse perspective, it's an excellent all-round solution. It's very complete.
The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes.
I like the idea that you can assign roles and responsibilities, limiting access to data.
It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL.
The snapshot feature is good, the rollback feature is good and the interface is user-friendly.
The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services.
The initial setup is straightforward. You just need to follow the documentation.
They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises.
The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications.
As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes.
The distributed architecture of Snowflake has the capacity to process huge datasets faster and allows us to scale up and down according to our needs.