Snowflake AI Data Cloud
SnowflakeExternal reviews
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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
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.
Snowflake is a Warm Experience
What do you like best about the product?
Snowflake is a user friendly product that adapts to any company needs and provides technical support whenever needed.
What do you dislike about the product?
I do not have any negative comments at this time.
What problems is the product solving and how is that benefiting you?
Snowflake is solving our companies problem with cloud-based data storage. It benefit is just that, it slows us to store data more efficiently.
Recommendations to others considering the product:
An excellent product for any industry.
Sales Executive Experience
What do you like best about the product?
That all our data is stored in the cloud. being 2018 this is where we need to be
What do you dislike about the product?
that it was hard at first to get our owners to commit to the cloud
What problems is the product solving and how is that benefiting you?
secure data leads to happy IT and bosses
Recommendations to others considering the product:
none
Snowflake Computing Review
What do you like best about the product?
I like software. I think this is a good fit with our company because it aligns with the best interest of the customers. It allowed us create software solutions that were based on customer needs and create value and ROI with a financial spin for a software solution
What do you dislike about the product?
I would like the functionalities of adding/deleting to be navigated easier.
What problems is the product solving and how is that benefiting you?
We have realized opportunities to attack different verticals as a company with the confidence of cloud computing in snowflake computing.
Recommendations to others considering the product:
I think I'm happy with what work Snowflake has done for our computing and I look forward to seeing it evolve and being on that ride.
The Data Warehouse for the Non-Technical Analyst
What do you like best about the product?
The UI is modern and the interface is intuitive. The tool is highly customizable and sits on top of Amazon S3 for seamless data access.
What do you dislike about the product?
The interface for running SQL-like queries is clunky.
What problems is the product solving and how is that benefiting you?
Our non-technical director formats and uploads manual data for ingestion into our larger data pipeline.
SNOWFLAKE REVIEW
What do you like best about the product?
FAST, CLOUD BASED, GOOD UI, CHEAPER THAN AMAZON REDSHIFT
What do you dislike about the product?
MULTIPLE QUERIES CAUSES PROBLEMS RUNNING AT THE SAME TIME, MORE AGGREGATE FUNCTIONS COULD BE SUPPORTED
What problems is the product solving and how is that benefiting you?
WE ARE HOSTING OUR BILLION ROW DATA-SET INTO SNOWFLAKE FOR QUERYING BY THE ANALYSTS . CERTAINLY BETTER OPTION THAT DATA BRICKS SPARK
Recommendations to others considering the product:
DEFINITELY AN ALSTERNATIVE TO AMAZON RED SHIFT AND SPARK
Snowflake and bigquery are database 2.0
What do you like best about the product?
JSON / XML parsing from s3 to nice relational tables. Stupendously easy to set up and get data in.
Cheap storage, plus standalone compute cost.
Provides a data layer where the policy can simply be, "Is it data? Then dump it into snowflake", which increases velocity in analytics, BI, diagnostics, and testing.
Cheap storage, plus standalone compute cost.
Provides a data layer where the policy can simply be, "Is it data? Then dump it into snowflake", which increases velocity in analytics, BI, diagnostics, and testing.
What do you dislike about the product?
Black-boxed indexes / projections.
It's both a blessing and a curse - new architecture gets built quickly, and query performance is generally solid, but some brain-dead obvious indexing doesn't persist in some cases, which can cause certain operations to be needlessly slow.
It's both a blessing and a curse - new architecture gets built quickly, and query performance is generally solid, but some brain-dead obvious indexing doesn't persist in some cases, which can cause certain operations to be needlessly slow.
What problems is the product solving and how is that benefiting you?
Data storage, JSON / XML / AVRO parsing and aggregation, business intelligence, data science. The main benefits for us have been in improving design velocity and overall data access throughout the company.
Recommendations to others considering the product:
There is no reason not to test it. It took us just a couple of hours using the tool for the light bulb to come on.
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