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Elastically scale your DW in the cloud the way it should be!
What do you like best about the product?
Ability to dynamically provision cpu for the largest workloads and draw back down when unneeded for cost efficiency.
What do you dislike about the product?
Costs are sometimes a bit unpredictable...need to keep a watch on it.
What problems is the product solving and how is that benefiting you?
Near realtime analytics at scale for IoT end users.
Recommendations to others considering the product:
test drive it and make sure you keep a watch on the cpu meter.
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Snowflake allows for simple access to data integrating with AWS and downstream tools easily
What do you like best about the product?
Web browser is great to use and easy to pull up
What do you dislike about the product?
downloading data from web ui could be easier
What problems is the product solving and how is that benefiting you?
SQL database access in cloud
Easy, fast, powerful
What do you like best about the product?
Snowflake is managed in a way that your queries perform optimally without much effort on your part. The database user management and roles is familiar (think PostgreSQL style) and can be done through a user interface or via SQL--both business users and experienced DBA's will be comfortable.
What do you dislike about the product?
I can't honestly think of much. The AWS region limitations are slightly problematic for East coast users, but overall this hasn't affected us hardly at all.
What problems is the product solving and how is that benefiting you?
Real time analytics for lab customers in the healthcare space.
Recommendations to others considering the product:
Consider this as an alternative to other columnar databases like Redshift. The speed is faster, and definitely outperforms MySQL and PostgreSQL on large, aggregate data.
Easy, fast and cost efficient
What do you like best about the product?
Snowflake is super easy to get up and running. The auto-suspend functionality is saving us thousands of dollars per month over our previous data warehouse solution.
What do you dislike about the product?
It would be nice if Snowflake offered service in the us-east-2 (ohio)region where the rest of our app is located.
What problems is the product solving and how is that benefiting you?
We were looking for a new data store to power analytics and customer reporting needs. We previously used a mix of MySQL and RedShift, which were more expensive and took more expertise to optimize.
Recommendations to others considering the product:
Give it a try, it is very easy to get your data into and get value out of it. The Snowflake experts have been awesome partners.
Fastest data management platform
What do you like best about the product?
It's remarkably fast to traverse billions of rows of data sitting in storage with multiple users through their provisioned warehouses.
What do you dislike about the product?
There's no GeoJSON support yet, which makes working with location data harder than it needs to be.
What problems is the product solving and how is that benefiting you?
We've reduced data warehousing costs by about 40% while boosting our processing speed up at least 200% - and our post-setup maintenance time is sitting at around 5% of what it once was.
Recommendations to others considering the product:
Do it.
Simple but fast.
What do you like best about the product?
I like the fact that we have got many disparate data sources into 1 place. The queries issued against the data are quite fast and the data is stored optimally, taking up less space than they use in the source systems.
What do you dislike about the product?
Scheduling is needed within snowflake itself. A full fledged client would be preferred to the web interface. More features within the SQL code itself is needed, like correlated sub queries in the select, instead of only in the where clause.
What problems is the product solving and how is that benefiting you?
We have been able to join multiple disparate data sources into one place and are able to query across these data sources to get more insights into the business operations.
Recommendations to others considering the product:
Get one of the recommended ETL tools to get your data into snowflake and give snowflake a trial, you will be amazed at how fast you can get all your business data into snowflake and the the speed of your queries.
Very fast data warehouse
What do you like best about the product?
The speed of queries processing. We were able to speed up some queries from 15 minutes to 15 seconds. We didn't believe how fast it was when we started. It literally saved the business.
What do you dislike about the product?
Outages. Also pretty rigid schema with 50 threads per warehouse. So long running queries and maintenance queries are capable of putting it in waiting mode quite a bit.
What problems is the product solving and how is that benefiting you?
We store a huge amount of live data from customers - we track web performance. To analyze this data the speed of snowflake is absolutely a life saver.
snowflake user experience review
What do you like best about the product?
There is no need of maintenance on indexes. snowflake will take care automatically.cloud computing is one great feature.
What do you dislike about the product?
UI with internet explorer.one more point want to cover is if any feature is going to release means it should support all possible scenarios.if we take stored procedures, it won't support transactions. introduction of Stored procedures is great feature, but without transactions management, it won't be that much powerful.
What problems is the product solving and how is that benefiting you?
We are using SF for data warehousing purpose.once all the data is in snowflake, we will generate reports on top of it.
Fast and scalable
What do you like best about the product?
The ability to spin up larger computes (or as they call warehouses) is amazing for the large ETL tasks. The semi-structured data support with JSON columns and querying directly into them is a true godsend.
What do you dislike about the product?
Dislike the need to keep shutting down the servers and not being able to have it up 24/7 with reasonable costs. This means a lot of conscious effort needs to go into batching up loads to Snowflake and prevents the data warehouse from having any quick intraday usability.
What problems is the product solving and how is that benefiting you?
Snowflake is our new centralized data warehouse that everything pipes into. We have clickstream data for product analytics coming in from Snowplow. We also have Fivetran running on many source datasets to replicate our sales and user accounts data sets into Snowflake regularly. Snowflake is the backbone for all business analytics, product analytics, and data science development models. We may not necessarily use it to build real-time data science models, but it is a good start.
Recommendations to others considering the product:
If you don't need any near real-time querying of data, Snowflake's pricing model works out well. If you just need to run it every once in a while to do some ETL jobs and then have a caching server that can do the rest of your ad-hoc queries, it is great.
ease of use
What do you like best about the product?
Love that the platform integrates with many different cloud based services. Along with the ease of use, The service is great, when a ticket is submitted, they're really good at replying to your issues. When there are service interruptions, they make sure we're the first ones to know.
What do you dislike about the product?
No stored procedures or event handling. Some services require us to pay a little extra even (such as reclustering) as it should already be included in the price. Sometimes the UI lags, but made huge improvements to the new UI.
What problems is the product solving and how is that benefiting you?
Loading large mounts of data in near real time availability. Also the ability to use jdbc connections to various Business Intelligence platforms was a deal sealer.
Recommendations to others considering the product:
Keep creating services to allow the product to be easily useable. Make sure your data is already available in s3, and know how to use cloud based services like amazon web services and/or microsoft azure.
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