Snowflake AI Data Cloud
SnowflakeExternal reviews
676 reviews
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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.
Awesome technology, needs refining
What do you like best about the product?
We love the fact that we can spin up additional warehouses on demand. We like the fact that most admin work is done by the provider
What do you dislike about the product?
Security is not enterprise grade yet. Hard to administer and query security tables. No way to authenticate against multiple SAML providers
What problems is the product solving and how is that benefiting you?
This is our primary Business Intelligence Warehouse
Performance and Ease of use
What do you like best about the product?
Extremely easy to get started. Snowflake supports the most common SQL operations as well as a large library of useful analytic functions. It includes excellent documentation and with performance tuning handled by Snowflake, it's easy for analysts to focus on writing SQL.
What do you dislike about the product?
No complaints so far. It's by far the best database engine I've used.
What problems is the product solving and how is that benefiting you?
Answer transaction-level questions on large datasets at scale.
Recommendations to others considering the product:
It's easy to switch!
great cloud data warehouse
What do you like best about the product?
snowflake is great and it is a very popular tool for data warehouse building in the cloud it lets you import tons of data instantly
What do you dislike about the product?
it is a little bit expensive and it takes awhile to set up
What problems is the product solving and how is that benefiting you?
build data warehouse in the cloud with very little investment
Snowflake Solves problems
What do you like best about the product?
I like that compute and storage are separate and i can scale up my compute. That writes do not block reads.
What do you dislike about the product?
The architecture is not good for web speed apps. There is too much latency per call.
What problems is the product solving and how is that benefiting you?
Lots of problems. We are basing our customer facing flagship product on it and we are using it internally for many uses.
Recommendations to others considering the product:
Do a proof of concept.
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.
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
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.
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.
Good software
What do you like best about the product?
Snowflake computing is best for concurrent user data access, easy scaling of storage from few gigabytes to petabytes. Analytics on big data seems to be easy and fast.
What do you dislike about the product?
The pricing of the features is not the best compared to other products in the market.
What problems is the product solving and how is that benefiting you?
Data analytics, cloud storage
Recommendations to others considering the product:
I would suggest going for trial and evaluation copy initially to validate if the software meets the client requirements.
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