On December 6, Quest® announced the general availability of Toad® Data Point 5.6 with native support for Snowflake. This makes a significant contribution to the plethora of other platforms that Toad Data Point already supports. So, why Snowflake?

Quest Toad Data Point 5.6 supports Snowflake cloud data platform

As organizations increasingly demand data-driven decisions, non-database professionals have a pressing need to get closer to the available data so they can prepare and use it for analysis. Since it’s no longer practical or possible to involve IT in every request for data retrieval, it’s become critical to give business users the tools they need to extract and prepare their own data.

The traditional data warehouse, typically deployed on-premises and used for storing vast amounts of data, is being challenged in the face of demands for greater data diversity, faster analytics, ease of use, SaaS services and cloud deployment.

The drawbacks of a typical data warehouse, deployed in an organization’s data center, include its inability to store data in different file formats, hugely costly to maintain and inability to store big data.

As the demand for faster, more advanced data analytics continues, companies must modernize their data warehouses and leverage the latest cloud-based technologies.

Although there are plenty of cloud-based data warehouse applications available, such as those from Oracle and Teradata, these still have certain architectural limitations which limit their effectiveness, which is why companies are turning to Snowflake.

Snowflake is a cloud data platform offered as a SaaS service. Architecturally, it separates compute and storage, enabling each to be scaled up or down independently, increasing its performance and making it much more economic.

From a data preparation standpoint, data analysts need a tool that can not only connect to a multitude of data platforms, including Snowflake, but it also needs to be able to do so from anywhere in a hybrid infrastructure and it needs to be able to offer a presentation layer that suits the user, whether they are a semi-technical user or a (non-technical) business user.

Snowflake is also cloud-agnostic meaning you can deploy it in AWS, Azure or Google Cloud.

The growth of Snowflake is quite astonishing, with revenues set to rise by 88% this year to $1.11 billion, according to analysts, then grow another 64% next year. Snowflake expects to see revenues rise to $10 billion in 2029.

So, I’d expect to see demand for data prep tools, like Toad Data Point, that support native connection to, and navigation amongst, Snowflake platforms for querying data to increase over the coming months.

Toad Data Point

Toad Data Point Workbook provides the perfect graphical interface for a business user that’s easy to use with intuitive navigation so that they no longer need to lean on IT with requests for data retrieval.

Add to that the need share data sets with other business users through a collaboration server that integrates with Windows Active Directory, thenToad Intelligence Central provides the ideal complementary solution.

Try Toad Data Point 5.6 now and start getting the most from your Snowflake data and data from many other data sources.


Related information:

Watch the webinar, including connectivity demo to Snowflake: Self-service reporting and collaboration – access 50+ data sources, including Snowflake

Press release: Quest Unveils Toad Data Point 5.6, Accelerating Data Democratization in the Enterprise


More links to explore:

About the Author

John Pocknell

John Pocknell is a senior market strategist at Quest Software and part of the Information Management business unit. Based at the European headquarters in the U.K., John is responsible for synthesising analyst data and customer interviews in order to create and evangelise solutions-based stories and messaging which relate to major IT initiatives for our extensive portfolio of database products, worldwide. He has been with Quest Software since 2000, working in the database design, development and deployment product areas and spent over 10 years as product manager for the Toad product line. John has been successfully evangelising Toad and other database solutions at various conferences and user groups around the world for the last 19 years as well as writing blogs and technical papers both internally and for the media. John has worked in IT for more than 30 years, most of that time in Oracle application design and development. He is a qualified aeronautical engineer with more than 10 years of experience in provisioning IT consultancy services and implementing quality assurance systems to ISO 9001.

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