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  3. Socotra
Socotra logo

Socotra

Verified

Productized Insurance

San Francisco, Californiawww.socotra.com
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Tools
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Followers

Tech Stack

Application & Data

24 tools

Kotlin logo
Kotlin
Golang logo
Golang
Flyway logo
Flyway
MySQL logo
MySQL
Java logo
Java
PostgreSQL logo
PostgreSQL
ES6 logo
ES6
TypeScript logo
TypeScript
Redux logo
Redux
Spring Boot logo
Spring Boot
Node.js logo
Node.js
JavaScript logo
JavaScript
Python logo
Python
HTML5 logo
HTML5
Immutables logo
Immutables
jOOQ logo
jOOQ
Flask logo
Flask
Markdown logo
Markdown
AWS Lambda logo
AWS Lambda
Amazon CloudFront logo
Amazon CloudFront
Vue.js logo
Vue.js
Ruby logo
Ruby
TiDB logo
TiDB
Apache Spark logo
Apache Spark

Utilities

5 tools

Slack logo
Slack
Shopify logo
Shopify
Twilio logo
Twilio
Stripe logo
Stripe
Elasticsearch logo
Elasticsearch

DevOps

4 tools

Pingdom logo
Pingdom
Grafana logo
Grafana
Prometheus logo
Prometheus
Amazon CloudWatch logo
Amazon CloudWatch

Other

47 tools

GitHub logo
GitHub
Kubernetes logo
Kubernetes
minikube logo
minikube
Docker Compose logo
Docker Compose
React logo
React
npm logo
npm
Amazon EC2 logo
Amazon EC2
Amazon S3 logo
Amazon S3
Ubuntu logo
Ubuntu
Sass logo
Sass
Jira logo
Jira
Webpack logo
Webpack
IntelliJ IDEA logo
IntelliJ IDEA
Confluence logo
Confluence
Amazon RDS logo
Amazon RDS
Amazon EC2 Container Service logo
Amazon EC2 Container Service
Git logo
Git
NGINX logo
NGINX
Docker logo
Docker
G Suite logo
G Suite
JUnit logo
JUnit
Postman logo
Postman
Amazon DynamoDB logo
Amazon DynamoDB
New Relic logo
New Relic
Apache Tomcat logo
Apache Tomcat
Loggly logo
Loggly
Apache Maven logo
Apache Maven
Jenkins logo
Jenkins
Cypress logo
Cypress
ESLint logo
ESLint
Terraform logo
Terraform
gRPC logo
gRPC
Minio logo
Minio
Visual Studio Code logo
Visual Studio Code
Gmail logo
Gmail
Stack Overflow logo
Stack Overflow
Amazon Route 53 logo
Amazon Route 53
Argo logo
Argo
AWS Elastic Load Balancing (ELB) logo
AWS Elastic Load Balancing (ELB)
Amazon SES logo
Amazon SES
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Selenium
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Google Drive
Redis logo
Redis
Kafka logo
Kafka
Consul logo
Consul
Kong logo
Kong
Babel logo
Babel

Team Members

Brandon Yee
Brandon YeeSoftware Engineer
Tor Hagemann
Tor HagemannPrincipal Software Engineer
Suleiman Sukkar
Suleiman SukkarProduct Delivery & Deployment
tessiemcinerney1
tessiemcinerney1
Tor Hagemann
Tor HagemannSenior Software Engineer
Dubi Ben-Shoham
Dubi Ben-ShohamHead of Talent Acquisition

Engineering Blog

Stack Decisions

Tor Hagemann
Tor Hagemann

May 9, 2019

Much of our data model is relational, which makes MySQL or PostgreSQL (and family) fit the API's we need to build, in order to meet the needs of our customers.

Sometimes the flexibility of a NoSQL store like Amazon DynamoDB is very useful, but the lack of consistency really impacts usability and performance long-term, compared with viable alternatives. At our current scale, we've seen huge benefits from moving some of our tables out of Dynamo and doing more in SQL.

There will always be use cases for NoSQL and key-values stores, but if your model is well understood in your business/industry: relational databases are the way to go after finding product-market fit. Always understand the trade-offs (and a few intimate details) of any data store before you add to your company's stack!

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