Snowflake Reviews

Snowflake has the very user-friendly feature of maintaining track of data and tickets, and their progress can be

tracked easily. The data loading and running of query languages like SQL is smooth and satisfies users.

A few times when there needs to be up-to-date chat among the users regarding the ongoing project, users need to wait for the client or others to comment,

so there is a need for an interpersonal chat feature that can help the users to act immediately

Snowflake is a platform that provides excellent consistency as well as user-friendliness while setting up a process. to activate or load a data cloud or sources to

the platform users do not need expertise on the same as the features are very easy to understand, which helps manage projects very efficiently.

Easy Growth: Scales effortlessly as needs change.

Smooth Sharing: Many users without slowdowns.

Mixes Data Well: Blends different data types seamlessly.

None that I can think of, super satisfied with its technical capabilities. Price is definitely higher side for startups.

Building seamless data analytics combining all SAAS platforms data at one place.

Encrypted data storage and compute capability with time travel.

Newer version of UI is little bit difficult with previous version.

On cloud datawarehouse with fast computation results.

Easy to integrate with other tools, Cloud based, Multicluster warehouse, Stremlit,Snowflake Marketplace

Not cost effective and can not use Locally, need good infrastructure

Creating data model , Writing views for Reporting, Continuous data processing

The databases are easily organized. You can search them on your own. The features allow you to keep an easy track of your projects and because of that you´re able to recicle code and separate your queries according to the project.

Sometimes when the query fails you are not told very specifically where the error is being generated. A FAQ section should be included or a section with tips to get started with SF

Working with relational databases without having to dowload them and work on them in R or Python. Thanks to snowflake I´m able to get just the data I need. It simplifies my job because some of the communications I send extract the most recent data from SF instead of hurrying to upload data.

The UI is one of my favorites. It is clean and usability is easy. For someone who uses it everyday, I have very few frustrations with it.

I wish there was an option to just left click a table and explore the data. Right now you can only input the table name into table.

It incorporates the large datasets we have from various sources, and allows us to consolidates the data to provide key reports off of and make business decisions.

Snowflake Feature such as simplicity , increased performnace,high concurrency and profitability.

Performance low when having large volumes of data in snowflake, getting warehouse timeout error while running a base more than Million plus.

Snowflake Integrates with a number of big tools including business intellignece. It helps to run a Million base querys within seconds, and infrastructure kind of cool user friendly.

I've found Snowflake to be a powerful and versatile solution for connecting multiple data sources. Snowflake really shines when it comes to handling data of all shapes and sizes. Snowflake is designed to be accessible to folks from all backgrounds, whether you're a tech whiz or just dipping your toes into the data lake world. The SQL-based approach makes managing and querying data lakes a breeze. Snowflake's cloud-native setup ensures things run smoothly. So, you can count on optimal performance even when you're dealing with heavy data workloads. Queries run efficiently, and concurrency, making it relaible for ad hoc analytics and reporting.

It takes some time to get familiarized with their UI. While Snowflake is user-friendly, those new to cloud-based data lake platforms will need some time and patience to get caught up. However, Snowflake provides lots of documentation and resources help mitigate this challenge.

We needed a centrailized space to build a data lake. Snowflake can integrate with mulitple CRMs. It's like the social butterfly of data platforms as we are conencting Google Cloud Storage. They have lots of options for payment plans based on your data load. We are now saving money by deploying a centralized data front.

Snowflake's architecture is build for scalability. The data sharing capabilities are exceptional; ot requires literally zero maintainince. I would rate Snowflake the best out there in terms of easy of use, support and value for money. Pretty much everything about Snowflake is great!

The only disadvantage I can see is it being slightly expensive. If you're a very early stage organization, I wouldn;t recommend spending a lot until you have a 5-6 person data team to set up the infrastructure.

I use Snowflake as a central place to manage, modify, combine and organize data. Snowflake acts as a central hub to pull in and push data to various tools and our CRM (Salesforce).

Snowflake is one of the best datawarehouse cum ETL cum database tool. I like it's multiple features like

1) We can create multiple warehouses with different sizes and use them as per our requirment. Also the warehouse will suspend automatically when not in use. So you only pay what you use.

Also it has many features. Below are few major among of them:

1) Data sharing for business need

2) Time travel, which helps us to debug in case of any bug or issue, retrive old data

3) Fail-Safe for disaster recovery

4) Stream to track SCD change

5) Task for scheduling

Snowflake does not enforced Primary Key concept in tables. So we need to create separate process to avoid duplicate data loading.

Snowflake has many useful features, below are few among of them.

1) Data sharing. In Snowflake we easily can share data among multiple accounts. So without giving access to the main snowflake account we can share our data to another team for analysis.

2) Time travel, which helps us to debug in case of any bug or issue, retrive old data

3) Fail-Safe for disaster recovery

4) Stream to track SCD change

5) Task for scheduling