Data Scientists vs Data Analysts
November 5th, 2019
Knowing which data warehouse is right for your business can be a challenge. With many businesses needing real time access to their data to pull precise reports, modern data warehouses can be the solution, as they are designed to work with the raw data without having to maintain a data warehouse infrastructure.
There are plenty of modern data warehouse products on the market, within our network we are seeing a rise in the use of three main tools: BigQuery, Snowflake and Redshift.
“BigQuery is a serverless, highly-scalable, and cost-effective cloud data warehouse with an in-memory BI Engine and machine learning built in.” (source: https://cloud.google.com/bigquery/)
BigQuery is Google’s serverless Platform as a Service (PaaS) solution to data warehouses. BigQuery has the ability to run “blazing-fast” SQL queries.
“Snowflake is a fully relational ANSI SQL data warehouse, so you can leverage the skills and tools your organization already uses.” (source: https://www.snowflake.com/product/)
Launched in 2014 Snowflake is a cloud-based data warehouse, offering date storage and analytical capabilities.
“Redshift powers mission critical analytical workloads for Fortune 500 companies, startups, and everything in between.” (Source: https://aws.amazon.com/redshift/)
Owned by Amazon, Redshift is a part of the larger cloud platform AWS (Amazon Web Services). Redshift is a fully managed data warehouse hosted in the cloud.
To find out which tool is preferred by the users I asked my network which modern data warehouse they think is better. I think the results are quite interesting and very close between two of the three.
Which is better for scalability?
Which has better usability?
Which is better for security?
*Other: Hadoop (7.14%)
Which has better storage facilities?
Which has better SQL capabilities?
Which is better for large data sets?
Which has better support?
Which has faster query speeds?
Which has a better pricing model?
BigQuery vs Snowflake vs Redshift – overall winner
*Other: see individual responses above
While Snowflake leads the way overall, Redshift is closely matched up in many of the categories and only beating Snowflake once for faster querying speeds. What’s interesting is the clear lag for BigQuery, getting the lowest score in every category.
Are we starting to see the decline of BigQuery? Will modern data warehouses have to get faster and smarter in order to compete? What can we expect in the next 5 years? It’s an exciting time for this technology and more businesses are moving to the cloud.