We all know how Snowflake has been growing rapidly and gaining popularity each day in the BI industry. This blog allows us to look back on what were the potential highlights that Snowflake had in 2019 with their monthly highlights and how they launched innovative programs to attract customers.

Starting this year on a high note, During January 2019 Snowflake has been named as a ‘Leader in Gartner Magic Quadrant’ for Data Management Solutions for Analytics. They introduced an event “Data for Breakfast” which allows the data professionals to rethink how their organizations’ data could be optimized and thereby gaining much more deeper insights from it. Snowflake more than triples their existing revenue and Customer base in just a span of a year making their post-money valuation to get doubled. The Snowflake brought in new technical feature: Resource Monitor in its February release which supports custom schedule and reset of credits which were not available before. This feature helps us to optimize the cost even further by upfront planning. In March 2019, Snowflake joins with Adobe to transform customer experiences where both the companies would strive to achieve a best in class customer experience management (CXM) solution. And Snowflake pairs with Aston Martin Red Bull Racing partner to deliver the most data-driven formula one Season as on then. The March security update also provided the Federated authentication to all the accounts rather than just having it for Enterprise and above. This enables all the accounts in Snowflake to have such feature.

Moving into the second Quarter, Snowflake started with releasing Stored procedures much-awaited feature for all the companies who wanted to migrate their platform from native SQL based DW to Snowflake. So now with Snowflake Stored procedure and User-defined functions (UDFs), we can extend the SQL functionality by leveraging the Javascript. During April 2019, Snowflake added Asia Pacific Region for their AWS and Azure cloud vendors extending their regions globally (AWS in Singapore region and Azure in Australia East). As the journey has been onwards and upwards, Snowflake appointed their new CEO, Frank Slootman to enhance their journey at much more accelerated pace in May 2019. June 2019 was the most productive month of all, as they had several features rolling out such as Streams (CDC mechanism for Snowflake tables), Tasks (Inbuilt Scheduling mechanism), Snow pipes which all come as part of Continuous Data Pipelines. These Continuous Data pipelines help to automatically ingest the data based on event notifications in the cloud storage AWS or Azure. They also had Materialized Views, External tables, Collation, Hive Metastore integration for Snowflake rolled out in the same month. They also extended their AWS region in Canada and announced the availability of the latest region, US Gov Virginia, offered on Microsoft Azure Government which are restricted to U.S. Government agencies and their partners. And they also did their first-ever Snowflake Summit, where the keynote speakers discuss the importance of how the data with Snowflake could help their organizations do much more and also had workshops on Snowflake tools.

The third quarter, after having the success of their inaugural Snowflake Summit in June, the company kick-started off a 2019 Summit World Tour event series. The event series showcased the most popular thought-leadership and use-case breakout sessions from the original Snowflake Summit in addition to in-depth training, hands-on labs and networking opportunities. It enabled the global data audience to break down the data barriers they face today. They also added new features such as the Connectivity Diagnostic Tool and added up a region in Canada this time for Azure.

August had few technical introductions such as making the file format mandatory for the external tables and making Canada a multi-cloud availability which felicitates Canadian clients like Toronto Star, Alberta Motor Association, Wolseley Canada, SSQ Insurance, Environics Analytics, Globe and Mail and Lightspeed. Snowflake was listed as #1 Top Startup by LinkedIn and #2 in Forbes Cloud 100 and took its place in 2019’s U.S list of Top Startups in September. They also introduced Tri-secret secure in Microsoft Azure, an expanded data encryption capability that enables Business Critical Edition (and higher) customers with the strictest security requirements to incorporate their own encryption keys.

Marching into last Quarter of the year, Snowflake has added Tasks feature to support any SQL command in October 2019. Now the tasks feature can execute any DDL, DML and even call the Stored Procedures. Snowflake introduced its availability in Google Cloud Platform (GCP) as a preview of 2019. Now customers who have their services hosted on GCP can leverage Snowflake with its better network latency and reduced data transfer costs.  Also, another region in US East (Ohio) was introduced on AWS. Snowflake started an office in Tokyo, Japan as of December 1, 2019, under the leadership of Hidetoshi Tojo, Snowflake Japan Managing Director. And with the closing of the year, Snowflake announced deepening its relationship with AWS to provide a more seamless customer experience especially in the areas of Machine Learning and Artificial Intelligence.

So with many more new features and a plethora of customers using Snowflake, 2020 is going to be a great year and are looking optimistic for Snowflake.

Read more about similar Self Service BI topics here and learn more about Visual BI Solutions Microsoft Power BI offerings here. 

 

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