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Unleash the power of data with Snowflake - the cloud data platform built for the future
March 09, 2023

Unleash the power of data with Snowflake - the cloud data platform built for the future

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Modules Used

  • Snowflake Data Marketplace

Overall Satisfaction with Snowflake

We have used Snowflake to ingest, store and process data from the customer devices telemetry data for various insights. Ease of creating a pipeline from multiple sources without worrying about the amount of data and scalability of compute for different departments helped us a faster go to market solution. Continuous discovery is the core of our team means fail fast with minimum cost, with Snowflake we are able to do quick proof of concept and align project goals to the organization strategy
  • Ingestion from different cloud platforms like AWS, Azure and GCP
  • Ability to store data in multiple formats including structured and unstructured
  • Compute is dynamic. Ability to chose a compute based on cost and performance.
  • Data visualization capability has improved though have lot of areas of improvement
  • Data governance and catalog capabilities
  • Data Security
  • Cost of Ownership
  • Scalability
  • Ability to expedite continuous discovery
  • Instant Infra availability with minimum planning
  • Ability to monitor the cost and scope of optimization
Cloud -Native architecture, Separation of Storage and Compute provides flexibility, Scalable Compute, Cost and Data Security

Do you think Snowflake delivers good value for the price?

Yes

Are you happy with Snowflake's feature set?

Yes

Did Snowflake live up to sales and marketing promises?

Yes

Did implementation of Snowflake go as expected?

I wasn't involved with the implementation phase

Would you buy Snowflake again?

Yes

Data Security while ingestion and during storage, ability to support multiple data formats, dynamic compute to support varied use cases, low cost of maintenance and operations.

Using Snowflake

1000 - Sales, Marketing, Supply Chain, Finance, Operations
100 - Data Engineers, Application Team, Functional Analysts
  • Data Storage
  • Data Insights
  • Data Analytics
  • Ability to Integrate with multiple cloud platforms and support Hybrid Architecture
  • Collaborate with Customer and Partners
  • Create and Support Data Mesh
  • Ingest and process Streaming data
No known issues with the product

Evaluating Snowflake and Competitors

Yes - We replaced Big Data - Hadoop with Snowflake because of its SQL native and can support both Structure and Unstructured Data. We struggled with Hadoop on the scalability, performance and architecture
  • Price
  • Product Features
  • Product Usability
Cloud-Native architecture and support for SQL which aligns to our transaction data in Oracle. Compute is dynamic and scalable allows to control and optimize the cost
Not a part of Implementation team