Snowflake is a popular cloud-based data warehousing and analytics platform that is designed to make it easy to store and manage large amounts of data. However, like any data warehousing platform, Snowflake has some limitations when it comes to getting data out of storage and into a target application.
One limitation of Snowflake is that it is a cloud-based platform, which means that it can be subject to network latency and other factors that can impact the performance of the client application. This can make it more difficult to get data out of Snowflake and into the target app in real-time, especially for applications where low latency access to data is mission critical.
Another limitation of Snowflake is that it uses a columnar storage format, which can make it more challenging to perform certain types of data transformations or analytics. For example, columnar storage is not well-suited to joining large datasets or performing complex calculations.
Property data is particularly prone to needing this type of manipulation, whether for running regressions to screen investment opportunities or simply to filter out property types while building a prospecting list. Whatever the use case, developers that work with property data know all too well that there is often the need to join datasets on multiple key criteria.
In addition to the complexity of wrangling property data, cost can become prohibitive as Snowflake works on consumption based pricing. As your application scales, storage and compute demands will rise in lock step. Engineering and business development teams should work together to determine whether Snowflake is well suited to their long-term needs.
Like Snowflake, REAPI is a big data as a service platform. But it is more than a repository of data. REAPI solves the gnarly challenge of data delivery. For small to midsize companies (under $100M revenue), who do not have the wherewithal or the interest to build and maintain a data warehouse, REAPI fills an important gap. Our service is purpose-built for application developers, who must ensure apps remain performant even while sending complex queries at high volumes.
Utilizing REAPI’s “Smart APIs” is like leasing a seat inside our data warehouse. Built in webhooks push updates dynamically so your app is always up to date. Perhaps most important, the data is prepped, transformed and ready for use by your app. And our proprietary quantum architecture guarantees zero latency for users. You get the firepower of a data warehouse with all the ease and simplicity of an API. And with our fixed pricing scheme, data procurement becomes a source of operating leverage. This is very different from the consumption based pricing of Snowflake or the per transaction cost of most API’s. That is the power of the platform, and the reason that app makers looking to build the next generation of real estate apps turn to REAPI.