Our primary use case involves building a cloud data warehouse to support business analytics. The business requires analytics, and we are building this ecosystem to help senior management with data-driven decision-making.
The easiest route - we'll conduct a 15 minute phone interview and write up the review for you.
Use our online form to submit your review. It's quick and you can post anonymously.
Our primary use case involves building a cloud data warehouse to support business analytics. The business requires analytics, and we are building this ecosystem to help senior management with data-driven decision-making.
The internal design engine and the columnar database are particularly valuable. These features reduce input and output memory, which is crucial in handling large data sets. The solution fulfills the business requirement for scaling and analytics. Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.
The advantages of Snowflake Analytics outweigh the disadvantages. However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it would be even better. PySpark is emerging as a competitor, so Snowflake Analytics needs to bridge any gaps between them.
I have been using Snowflake Analytics for almost one year.
Based on my experience over the past year, Snowflake Analytics is stable, scoring around eight point five to nine out of ten.
Snowflake Analytics is very scalable, rating nine to nine point five out of ten. It supports both horizontal and vertical scaling effectively.
The technical support for Snowflake Analytics is excellent based on what I have heard from others. It is responsive, and people find it very good.
Positive
I have supported Redshift, AWS, and Azure in the past, but my clients have migrated to Snowflake Analytics due to their business requirements where Snowflake is more popular and better suited.
During the initial setup, a feasibility study and impact analysis were required. We reviewed the existing schema and business objects, developed a strategy, gathered a team, executed the plan, and conducted post-migration checks.
Snowflake Analytics has impacted our operational costs positively, making it economical in handling large data volumes.
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain. It is recommended for others due to its robust features and capabilities. I rate the overall solution around 8 to 8.5.
I want to understand the market share of different browsers and different search engines in different geographic regions over time. I use it to make strategic decisions on where to invest my time and attention and sometimes to calculate business cases.
It has allowed us to understand certain trends and cut through the noise and the hype. For example, when everybody was hyping up Bing because of the partnership with OpenAI with StatCounter, it was possible to see that their market share was only increasing a tiny bit and Google's market share was only decreasing a tiny bit. If you just paid attention to the media, you might have thought there was a giant shift, but with StatCounter, it was possible to see that not a lot has actually happened.
I can see market share data for search engines and for browsers, and I can see this over time, how it develops, and also in different geographical regions. This is the Global Statistics feature, and it's the only feature I'm using with StatCounter. Because the data is pretty rare, there are not a lot of services that offer this data for free, and I can slice and dice it and then do with it whatever I need to do.
I think their free offering called Global Statistics is pretty robust. I cannot speak to the other areas of StatCounter.
I have been using the Global Statistics feature from StatCounter for more than ten years.
I think StatCounter is stable.
It's a tool where I get out some data, and there is not really a scalability challenge.
I have never interacted with customer support since I'm only using the Global Statistics feature. With the core product, I have no idea.
Neutral
I did not use a different solution previously.
The initial setup was straightforward.
I cannot provide such metrics. It's really about decision-making, getting input for my strategy, and getting real data to base my decisions on. There are no operational KPIs that improved because of it.
I'm only using the free product called Global Statistics from StatCounter, and I cannot speak to their other offerings.
Some of the same data I can get from SimilarWeb.
I would advise just trying out the free version, Global Statistics. It's literally data in your browser. Because their data collection practice is not perfect, it is biased towards smaller publishers, and that led to an issue recently where the data was wrong and they had to fix it. I rate the overall solution 7 out of 10.