[ad_1]
Seesaw Studying Inc. offers a number one on-line scholar studying platform utilized by greater than 10 million Ok-12 academics, 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 nations.
After all, 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 response to co-founder and Chief Product Officer, Carl Sjogreen.
“As a consequence 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 info generated by present and new Seesaw customers as they interacted with the service. Storing all of that knowledge was not an issue. Seesaw was in a position to scale up its essential database, an Amazon DynamoDB cloud-based service optimized for giant datasets. Seesaw’s database holds a number of billions of data.
Nonetheless, making any of that knowledge prepared for analytics, after which sharing these insights in a well timed style, was a special matter. And academics and principals have been clamoring for knowledge similar to which college students have been having bother ending classes on time. Whereas Seesaw staff have been begging for inside software utilization knowledge to enhance the shopper expertise.
“We had a lot knowledge 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 potential if each inside and exterior customers might drill down into the freshest knowledge potential in an effort to get the solutions they wanted.
Nonetheless, Seesaw’s DynamoDB database saved the info in its personal NoSQL format that made it simple to construct functions, simply not analytical ones. And the batch-oriented analytical instruments that Seesaw was utilizing, similar to Amazon Athena, have been lower than the duty.
“Plenty of our knowledge infrastructure was customized constructed and cobbled collectively through the years,” Sjogreen mentioned. “We had a really disorganized knowledge infrastructure that, as we’ve grown, was getting in the way in which of serving to our gross sales and advertising and help and buyer success groups actually service our prospects in the way in which that we needed to.”
To repair this, Seesaw seemed into constructing a standard knowledge 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 having the ability to concurrently ingest large knowledge streams, indexing that knowledge so it’s accessible 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 properly with all kinds of knowledge sources, together with streams from databases and knowledge 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 knowledge connectors with Amazon DynamoDB,” mentioned Venkat Venkataramani, Rockset CEO. “You may simply level Rockset at any of your Dynamo tables, regardless that it’s a NoSQL retailer, and Rockset will in real-time replicate the info and robotically convert it into quick SQL tables so that you can do analytics on.”
In consequence, 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 in a position, inside hours, to begin querying that knowledge in ways in which we hadn’t earlier than.”
Actionable Insights for Educators and Seesaw Staff Alike
As soon as Seesaw started utilizing Rockset to generate analytics and make product utilization knowledge accessible by SQL queries, it turned more and more difficult to maneuver knowledge out of Rockset and into enterprise methods like Salesforce for his or her gross sales crew to make use of. To work round this drawback, the info crew 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 discipline inside Salesforce. Seesaw wanted one thing less complicated in order that their knowledge crew might concentrate on high-priority duties.
This led Seesaw to Hightouch. Hightouch is a reverse ETL resolution that syncs knowledge from varied knowledge sources to particular goal locations. Utilizing Hightouch to sync the Rockset-powered insights on to Salesforce, Seesaw’s gross sales and advertising groups can now view product utilization knowledge instantly inside Salesforce, enabling them to determine product certified leads (PQLs), customers with low engagement, and potential new prospects. As a substitute of taking days to ship knowledge from Rockset to Salesforce, Seesaw now syncs knowledge in minutes.
That is extraordinarily invaluable to Seesaw. As a product-led-growth firm, Seesaw presents a bottom-up gross sales mannequin the place academics can use the service free of charge, and can solely method college districts when a crucial mass of academics and college students have adopted the service. By utilizing Rockset to run queries in real-time on their large knowledge shops and Hightouch to sync Rockset analytics knowledge to Salesforce, Seesaw can arm its gross sales representatives with up-to-date insights about how broadly 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 crew 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 file and utilizing Hightouch to operationalize the info.
- Buyer utilization knowledge is generated in Seesaw and saved in DynamoDB.
- Rockset’s native DynamoDB connector robotically ingests and indexes all knowledge inside seconds, with out ETL, to allow sub-second SQL queries.
- Question outcomes are pushed seamlessly into Salesforce utilizing Hightouch, a reverse ETL device, to arm the gross sales crew with up-to-date insights about their prospects.
- 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 position in offering Seesaw key insights into how educators and college students are dealing with the return to lecture rooms. Hightouch helps Seesaw’s customer-facing groups leverage this data to extend development and product adoption.
“The extra we are able to 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 companion to them and assist them get essentially the most worth out of Seesaw on this new world that we’re residing in.”
For Rockset, working with Seesaw has given us invaluable insights into the best way to 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.
“After I informed 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 residing,” Venkataramani mentioned. And by working so intently with Seesaw, “for the primary time I really understood what [my] youngsters do at college.”
That’s observability.
Fascinated with studying extra about this story? Watch the webinar beneath.
How E-Studying Platform, Seesaw, Scaled 10x Throughout Shutdown with Rockset & Hightouch.
[ad_2]
