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HomeBig DataCase Examine: Actual-Time Insights Assist Propel 10X Progress at E-Studying Supplier Seesaw

Case Examine: Actual-Time Insights Assist Propel 10X Progress at E-Studying Supplier Seesaw


Seesaw Studying Inc. gives a number one on-line scholar studying platform utilized by greater than 10 million Ok-12 lecturers, college students and members of the family within the U.S. each month. The San Francisco firm has grown steadily since its founding in 2013, with its hosted service in use in 75% of American faculties and in one other 150 international locations.

In fact, when COVID-19 hit in early 2020 and compelled faculties to abruptly swap to full-time distant studying, the necessity for Seesaw’s platform skyrocketed. So did Seesaw’s development, in line with co-founder and Chief Product Officer, Carl Sjogreen.

“As a result of distant studying, most of our key metrics grew by 10X,” Sjogreen mentioned in a video interview with SiliconANGLE’s theCUBE as a part of the AWS Startup Showcase in September 2021.

Wealth of Information, Little Observability

These metrics included the information generated by present and new Seesaw customers as they interacted with the service. Storing all of that information was not an issue. Seesaw was in a position to scale up its most important database, an Amazon DynamoDB cloud-based service optimized for giant datasets. Seesaw’s database holds a number of billions of data.

Nevertheless, making any of that information prepared for analytics, after which sharing these insights in a well timed trend, was a distinct matter. And lecturers and principals have been clamoring for information reminiscent of which college students have been having bother ending classes on time. Whereas Seesaw staff have been begging for inner software utilization information to enhance the client expertise.

“We had a lot information that any query you requested instantly introduced up 5 others,” Sjogreen mentioned.

In different phrases, Seesaw desperately wanted 360-degree real-time observability of its operations. And that was solely doable if each inner and exterior customers might drill down into the freshest information doable as a way to get the solutions they wanted.

Nevertheless, Seesaw’s DynamoDB database saved the information in its personal NoSQL format that made it straightforward to construct functions, simply not analytical ones. And the batch-oriented analytical instruments that Seesaw was utilizing, reminiscent of Amazon Athena, have been less than the duty.

“Quite a lot of our information infrastructure was customized constructed and cobbled collectively through the years,” Sjogreen mentioned. “We had a really disorganized information infrastructure that, as we’ve grown, was getting in the best way of serving to our gross sales and advertising and marketing and help and buyer success groups actually service our prospects in the best way that we wished to.”

To repair this, Seesaw regarded into constructing a conventional information warehouse paired with a set of ETL pipelines on high of DynamoDB, however concluded that it will take an excessive amount of engineering work and never fulfill its high-performance wants.

“Plug-and-Play” Deployment

Seesaw turned to Rockset, deploying our real-time analytics database in early 2021 on high of DynamoDB. Like DynamoDB, Rockset can ingest, retailer and question large quantities of knowledge. For real-time analytics, the cloud-native Rockset improves upon DynamoDB by with the ability to concurrently ingest large information streams, indexing that information so it’s out there for queries inside two seconds, after which enabling a excessive variety of concurrent SQL queries. Outcomes, even for complicated queries, can be returned in milliseconds.

Rockset works effectively with all kinds of knowledge sources, together with streams from databases and information lakes together with MongoDB, PostgreSQL, Apache Kafka, Amazon S3, GCS (Google Cloud Service), MySQL, and naturally DynamoDB.

“Rockset comes with all batteries included, together with real-time information connectors with Amazon DynamoDB,” mentioned Venkat Venkataramani, Rockset CEO. “You’ll be able to simply level Rockset at any of your Dynamo tables, despite the fact that it’s a NoSQL retailer, and Rockset will in real-time replicate the information and mechanically convert it into quick SQL tables so that you can do analytics on.”

Consequently, Seesaw was in a position to deploy Rockset very quickly.

“One of many key benefits of Rockset was that it was principally plug and play for our Dynamo occasion,” Sjogreen mentioned. “We have been ready, inside hours, to begin querying that information in ways in which we hadn’t earlier than.”

Actionable Insights for Educators and Seesaw Workers Alike

As soon as Seesaw started utilizing Rockset to generate analytics and make product utilization information out there by SQL queries, it grew to become more and more difficult to maneuver information out of Rockset and into enterprise methods like Salesforce for his or her gross sales staff to make use of. To work round this drawback, the information staff was pressured to make varied API calls and add CSVs.

This guide course of was extraordinarily time-consuming, taking two days of developer time simply so as to add a single area inside Salesforce. Seesaw wanted one thing less complicated in order that their information staff might concentrate on high-priority duties.

This led Seesaw to Hightouch. Hightouch is a reverse ETL answer that syncs information from varied information sources to particular goal locations. Utilizing Hightouch to sync the Rockset-powered insights on to Salesforce, Seesaw’s gross sales and advertising and marketing groups can now view product utilization information immediately inside Salesforce, enabling them to establish product certified leads (PQLs), customers with low engagement, and potential new prospects. As a substitute of taking days to ship information from Rockset to Salesforce, Seesaw now syncs information in minutes.

That is extraordinarily invaluable to Seesaw. As a product-led-growth firm, Seesaw affords a bottom-up gross sales mannequin the place lecturers can use the service at no cost, and can solely method faculty districts when a essential mass of lecturers and college students have adopted the service. By utilizing Rockset to run queries in real-time on their large information shops and Hightouch to sync Rockset analytics information to Salesforce, Seesaw can arm its gross sales representatives with up-to-date insights about how extensively and deeply used Seesaw is particularly inside a district when reaching out to its IT officers.

Rockset and Hightouch additionally work in parallel to assist Seesaw’s product staff slim down the most-needed options. This led to the creation of a scholar progress dashboard. After lower than six months, Seesaw determined to maneuver all of its analytics to Rockset, whereas sustaining DynamoDB as its database of report and utilizing Hightouch to operationalize the information.


seesaw-diagram

  1. Buyer utilization information is generated in Seesaw and saved in DynamoDB.
  2. Rockset’s native DynamoDB connector mechanically ingests and indexes all information inside seconds, with out ETL, to allow sub-second SQL queries.
  3. Question outcomes are pushed seamlessly into Salesforce utilizing Hightouch, a reverse ETL instrument, to arm the gross sales staff with up-to-date insights about their prospects.
  4. Question outcomes are additionally pushed to Retool to assist the product and management groups visualize their analytics.

Seesaw Relies on Rockset and Hightouch To Speed up Progress

As faculties reopen, Rockset serves a key function in offering Seesaw key insights into how educators and college students are dealing with the return to school rooms. Hightouch helps Seesaw’s customer-facing groups leverage this info to extend development and product adoption.

“The extra we will perceive how they [schools] are utilizing Seesaw, the place they’re combating it as a part of that transition, the extra we is usually a good accomplice to them and assist them get essentially the most worth out of Seesaw on this new world that we’re dwelling in.”

For Rockset, working with Seesaw has given us invaluable insights into enhance our service. Our Function-Primarily based Entry Controls (RBAC) safety characteristic was initially a request by Seesaw.

For Rockset’s CEO Venkataramani, working with Seesaw has had its personal private advantages — bringing him nearer to his two elementary-aged kids who’re each customers of Seesaw.

“Once I instructed them that Seesaw was contemplating utilizing Rocket for analytics, they have been thrilled, they have been overjoyed as a result of lastly they understood what I do for a dwelling,” Venkataramani mentioned. And by working so carefully with Seesaw, “for the primary time I really understood what [my] youngsters do in school.”

That’s observability.


Keen on studying extra about this story? Watch the webinar under.

How E-Studying Platform, Seesaw, Scaled 10x Throughout Shutdown with Rockset & Hightouch.



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