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Simple to use datawarehouse solution for extremely large data
What do you like best about the product?
Snowflake can handle the extremely large data -- on the order of thousands of TB -- that we have, and provide us with rapid results.
What do you dislike about the product?
Poor documentation -- although clustering is Snowflake's killer feature, figuring out why, after calling 'alter table recluster' on a table, that table is only .001% more clustered than before is painful. It's not clear why you wouldn't just sort the table on insert instead of calling recluster, since recluster on a static dataset incurs the penalty of insertion twice. Not much documentation about how data will be loaded, just vague statements from their tech team that "if your data is naturally clustered, Snowflake will recognize that." Well..... explain what you mean, please.
What problems is the product solving and how is that benefiting you?
Primarily we have been using Snowflake to run adhoc reports on the behalf of clients. We would not be able to do so on nearly any other data warehouse system.
Recommendations to others considering the product:
It's easy to use but pretty expensive and can be a little bit opaque to figure out.
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Snowflake for storing and accessing analytics data
What do you like best about the product?
Compute vs store split, UI interface is generally good with some small issues
What do you dislike about the product?
Query history interface, query history limitations, notifications about service disruptions/changes could be clearer
What problems is the product solving and how is that benefiting you?
Having all the analytics data in one managed service, easy scale-up when needed
great product
What do you like best about the product?
The performance is incredible. Queries that took hours to run on MySQL run in seconds.
What do you dislike about the product?
The online interface is clunky. Having a desktop app would be ideal.
What problems is the product solving and how is that benefiting you?
We're moving over long running batch processes that used to run on MySQL. The run-time has been improved from hours to minutes.
Blazing fast and cheaper DataWarehouse and iOT platform
What do you like best about the product?
Snowflake has ease of implementation, with no maintenance and has massive scalability. The storage cost is minimal. Horizontal and vertical scalability without any downtime. Elasticity of usage. The only database on the market that is truely built for cloud. Native support of Semi structured data
What do you dislike about the product?
MFA needs to be supported through any tool.Operational dashboard is needed.
What problems is the product solving and how is that benefiting you?
Enterprise Data Warehouse and Device data at scale. Minimal management roles like DBA and sysadmin. Focus on business enablement and real time data access. Advanced analytics enablement.
A data warehouse platform for the SaaS generation
What do you like best about the product?
Low maintenance. No more downtimes! No rebalances. Full control over compute resources.
What do you dislike about the product?
My biggest gripe is privileges are not rules based. You have to re-grant permissions on objects you recreate. Not a big deal once you're steady state, but annoying in a collaboration development phase.
What problems is the product solving and how is that benefiting you?
Enterprise data warehouse. Single source of truth without limitations on data structure or size. Devs are amazed we can consume their JSON straight from S3 and turn it into reports so quickly.
Awesome data-warehousing Tool
What do you like best about the product?
This feature is helpful for user to increase the node size and config depending on their need. There is no need to wait for hardware to be in place whenever we increase the dataset. Snowflake provides the option to increase the node or cluster size whenever required.
What do you dislike about the product?
Of course, every product has pluses and minuses. From that perspective, Snowflake has to improve there spatial parts. I mean it doesn't have much stuff in geo-spatial queries.
What problems is the product solving and how is that benefiting you?
Valuable Features
Scalability: Ability to load huge number of datasets (I have experience with petabytes of data) and process those things. Storage is not limited. We can increase whatever we want.
Performance: The distributed architecture of Snowflake has the capacity to process huge dataset faster and we can scale up and down as per the need.
Flexibility: This feature is helpful for user to increase the node size and config depending on their need. There is no need to wait for hardware to be in place whenever we increase the dataset. Snowflake provides the option to increase the node or cluster size whenever required.
Multi-formatted accessibility: The Snowflake engine has the capability to read the following file formats: CSV, DELIMITER, FIXEDWIDTH, AVRO, JSON, BZIP2, GZIP, LZOP. The user can choose which is best for their requirements.
Configuration: Even-though its running in AWS platform, it beats their platform product. Actually I feel more flexible than Redshift.
Snow-pipe: Snow-Pipe is better system to feed stream data to snowflake database. This is really helpful for less self-life triggering datasets.
Scalability: Ability to load huge number of datasets (I have experience with petabytes of data) and process those things. Storage is not limited. We can increase whatever we want.
Performance: The distributed architecture of Snowflake has the capacity to process huge dataset faster and we can scale up and down as per the need.
Flexibility: This feature is helpful for user to increase the node size and config depending on their need. There is no need to wait for hardware to be in place whenever we increase the dataset. Snowflake provides the option to increase the node or cluster size whenever required.
Multi-formatted accessibility: The Snowflake engine has the capability to read the following file formats: CSV, DELIMITER, FIXEDWIDTH, AVRO, JSON, BZIP2, GZIP, LZOP. The user can choose which is best for their requirements.
Configuration: Even-though its running in AWS platform, it beats their platform product. Actually I feel more flexible than Redshift.
Snow-pipe: Snow-Pipe is better system to feed stream data to snowflake database. This is really helpful for less self-life triggering datasets.
The way data warehouse is done now.
What do you like best about the product?
It is built for the cloud and is flexible in increasing and decreasing the size.
What do you dislike about the product?
I can't think of anything at this time..
What problems is the product solving and how is that benefiting you?
data warehouse for Looker front end
Recommendations to others considering the product:
Talk to them to get a good estimate of how much it would cost, it may surprise you that it is the most cost effective option.
Snowflake - The best Hidden Software
What do you like best about the product?
Snowflake is extremely agile in pulling down data from large data sets. The UI is simply and well designed. Quick queries allow beginners to try writing SQL and make quick adjustments until the correct result is achieved.
What do you dislike about the product?
The proprietary technology can turn some away with its secrets.
What problems is the product solving and how is that benefiting you?
Diving into large data sets and pulling out snippets of data that allow me solve data questions.
Recommendations to others considering the product:
Make the switch
Very as good data warehouse
What do you like best about the product?
We have a large amount of data which the warehouse handles without issue. It also updates frequently.
What do you dislike about the product?
If something goes wrong, sometimes it's difficult to get an answer as to why.
What problems is the product solving and how is that benefiting you?
We have a TON of data and needed a data warehouse to keep it in. This provides that solution.
Optimally Structured SaaS Data Warehouse
What do you like best about the product?
The best parts about Snowflake are the ease of implementation, the no maintenance scalability and integration partner availability. From a storage perspective, it is extremely efficient. You can create a complete clone of a 5TB database (like a pointer) without using additional storage, only using enough storage to track changes. You can choose whether to persist the changes or create a real physical clone. This allows you to have staging copies to real-world test updates on live data before you commit them. Additionally...un-dropping dropped tables and point in time historical queries are nice too. Built in 2 factor auth is scalable.
What do you dislike about the product?
There are small admin usability features with the UI that could be improved, but it seems like with the latest release, they have addressed some of them. Easier 2 factor enrollment would be a nice to have. Honestly, you should not be able to enroll a user without 2 factor authentication enabled.
What problems is the product solving and how is that benefiting you?
Enterprise Data Warehouse at scale. Low people investment to get an enterprise solution in place. We can focus on the data vs the underlying technology struggles. There are integration partners like five tran and Matillion that work very well for ELT in order to get data into the Data Warehouse.
Recommendations to others considering the product:
Don't waste your time setting up crazy configurations in the AZ arena. Just get this and start building. There is just not enough time to recreate the underlying plumbing every time you build a solution. This platform scales and is robust.
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