Introducing Direct Database Access with Snowflake + Intrinio
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Intrinio is proud to announce our new integration with Snowflake. In keeping with our mission to make data simpler and more useful, we’re now offering direct database access to our business customers. Watch the full webinar here: https://www.youtube.com/watch?v=zobU34StN2I&t=6s
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Introducing Direct Database Access with Snowflake + Intrinio
- 1. I N T R I N I O . C O M 1 Getting Started with Snowflake
- 2. I N T R I N I O . C O M 2 What is Snowflake?
- 3. I N T R I N I O . C O M 3 Snowflake: Our New Option for API Users
- 4. I N T R I N I O . C O M 4 Snowflake Benefits
- 5. I N T R I N I O . C O M 5 Simplicity Skip the time and effort of transferring data from our API to an internal database – query Intrinio data directly through Snowflake’s platform.
- 6. I N T R I N I O . C O M 6 • Scan terabytes of data within seconds • Control results with advanced filtering • Run queries faster using a massively parallel compute architecture Power
- 7. I N T R I N I O . C O M 7 • Multiple methods for setup and usage • No internal administration or management • Scalable data warehouses for peak performance Flexibility
- 8. I N T R I N I O . C O M 8 • Architecture fully distributed across multiple availability zones • System designed to tolerate failures with minimal impact to users Reliability
- 9. I N T R I N I O . C O M 9 Integrate Snowflake with database tools, business analysis tools, and business intelligence tools. Integration
- 10. I N T R I N I O . C O M 1 0 Use Cases
- 11. I N T R I N I O . C O M 1 1 Q&A
Editor's Notes
- Thank you for joining today’s webinar. As you may already be aware, Intrinio is now offering direct database access to our financial data through Snowflake’s platform. Today, I’m going to show you how our integration with Snowflake will work, what makes Snowflake different from our existing API, and how Snowflake looks in action. We’ll have a Q&A session at the end, so please reserve your questions until then.
- For anyone who is unfamiliar with Snowflake, here’s a quick primer. Snowflake is a data platform that leverages data warehousing technology and the cloud to help users handle large amounts of data efficiently. Users can write SQL queries to get exactly the data they need. Snowflake uses a massively parallel compute architecture that can process SQL queries on vast amounts of data, which can be difficult or impossible with traditional single-instance databases.
- We’re making Intrinio’s datasets available through Snowflake so that users who are currently retrieving data through our API can have another access option. Most of our customers use our API for one of two things: to directly power an application, or to transfer data into a database for further analysis. If you fall into the second category, Snowflake can open up a lot of possibilities. You can access Snowflake’s data warehouses directly, writing SQL queries to get the exact data you need. A little later in this webinar, I’ll demonstrate some use cases where Snowflake’s capabilities are particularly useful.
- But first, let’s talk about why we chose to integrate with Snowflake. Here’s a rundown of the benefits our customers will get with direct database access.
- Direct database access can be much more straightforward than API access. When you’re working with our API, complex filtering isn’t always possible. You have to download the entire possible dataset, put it into your system, and then run a query against your database. Snowflake lets you skip a step and run that query without copying the data into your own system. You still have the ability to transfer the data into an internal database as needed, but you can also use Snowflake’s interface to save time and effort. Direct database access lets you access tons of additional datasets without an integration. Plus, since you can make queries in SQL, there’s not a huge learning curve. We’ll walk you through connecting to our data, but you can start writing SQL queries immediately.
- Direct database access allows you to scan terabytes of data to find exactly what you’re looking for, within seconds. This isn’t something you can easily do with API, CSV or dataframes. You get the benefits of massive amounts of data, plus the control of advanced filtering. Whether you want ten results or 10,000, you can really zero in on the data you want. You can also export the data once your query is processed. While this advanced filtering comes at a cost of speed compared to our API, the queries still run fairly fast. Snowflake accomplishes this by having many copies of the data in distributed formats so that many kinds of queries can be run very quickly. All of that is kept in cold storage whereas databases keep it in memory or in easily accessible storage on one machine. When you make a query, Snowflake retrieves the data required from the storage layer to satisfy the query. Once it’s retrieved, the data is cached in Snowflake for a time, to improve the performance of future queries.
- Every business’s system is different, so we offer different options for Snowflake integration. If you’re already a Snowflake customer, we can share data with you instantly. With a few clicks, we can give you permission to access the desired dataset, and you can get started with it right away. We can set up a Snowflake database for you. As I previously mentioned, you can either make queries directly in Snowflake’s platform or copy the data over to an internal database. Snowflake’s platform is also highly efficient and scalable. When you make a query, Snowflake spins up its servers to process the query and spins them down a second later. So, you’re only charged for the seconds you use it; if you’re not using it, it doesn’t cost you anything. Snowflake bills itself as a data platform-as-a-service, eliminating the administration and management requirements of traditional data platforms. That means you can focus on the data without worrying about infrastructure, optimizations, availability, or security. We can also manage the size of the data warehouse you’re attached to, so if you’re making a lot of queries, you don’t lose speed and performance.
- Snowflake’s architecture is fully distributed across multiple availability zones. Its system is designed to tolerate hardware and other failures with minimal impact to users. We understand the importance of always having access to the data you need, and the business consequences of not having access to that data at a critical moment, which is why it was so important to us to find a platform that’s reliable.
- The easiest tools to use are the ones that integrate with your existing tools. You’ll be able to integrate Snowflake with other database tools and business analysis or intelligence tools like Tableau. Snowflake offers native and standards-based connectors that enable developers to use a variety of languages and frameworks, including ODBC, JDBC, Python, Spark, R, and Node.js. Essentially anything that can integrate with a database can be used with Snowflake.
- Now, I’m going to show you some interesting queries that show off what you can do with Snowflake. Let’s start with options prices. We have tens of millions of options contracts in our system. With the API, you can fetch them 100 at a time. You can do some filtering, but it’s limited. What we can’t do with the API, but we can do easily with Snowflake, is find out which symbols have traded the most on the options market. This is a 2TB dataset that spans over 10 years, and there’s no way to configure our database to make that query possible, but it runs in just a few seconds in Snowflake.
- Now, I’m going to up the floor for questions.