Startups Using Akka in Boston
Via their job posts and information submitted by startups themselves, these are the Boston Akka startups we've found.
Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.
Tools for more easily querying, organizing, and pipelining data stored in Amazon S3.
“Bill of Materials management for manufacturing companies, hardware startups and distributed teams.”
Using AI / NLP to analyze your site’s content and find related topics for better search optimization & marketing.
Tech Stack Highlights
Amazon Web Services – We rely on AWS extensively. We use EC2 for computing, EBS for storage, RDS for relational databases, ElastiCache for caching, and we’ve also experimented with Kinesis, Lambda and ElastiSearch. In the past, we used other hosting providers that were less expensive, but as we’re scaling, AWS has been able to scale extremely effectively.
Codeship.io – We use Codeship to run integration tests at every commit. This lets us push hotfixes quickly, especially for UI changes, and lets us run experiments quickly.
FullStory – We use FullStory extensively to look at customers’ use of MarketMuse. It’s also great for debugging – when a customer reports an issue, we can replicate it in FullStory. Our Customer Success team also uses it, especially with new customers, to see how well they’re using the software and where there may be gaps in their understanding.
Scala with Play Framework – We use python for prototyping and in areas where we need to move flexibly. But for heavy lifting, we use Scala. It runs on the JVM, so it natively supports all Java libraries (of which there are many in Natural Language Processing). We use Akka and its “actors” extensively to take full advantage of CPU and network/IO resources.
Security monitoring for businesses with elastic / cloud-based infrastructure.
Badge or biometric access solutions for healthcare providers.
Makers of thin, flexible circuitry for body-wearable health applications.
Social media and blogger influencer identification.
Tech Stack Highlights
ElasticSearch – At the heart of it’s product, Traackr is a search engine. We leverage ElasticSearch for it’s relative simplicity of deployment while providing incredible powerful and fast search results even when used with complex queries against billions of documents.
AWS – As a SaaS business with the need flexibility to deploy new solutions or scale existing systems rapidly. AWS gives us that advantage and offer many complementary services to build advanced system quickly.
Git – “Just the code repo” right? With a distributed team and an agile process, git is very important to us. From Pull Requests for code review to CI and automatic deployments, git is always in the middle of it.
MongoDB – This NoSQL database has been a lifesaver for us. Easy to get started with it, the document model allowed us to scale quickly at the beginning when we were just discovering how to best index the unstructured (aka messy) web.
PHP/CakePHP – Good old boring PHP! Maybe not the most fancy language these days, but the incredible amount of libraries available and its sheer robustness (thousand of sites are build on it, hundred of thousand of developer are fluent in it) makes it a champion to build a production and enterprise ready solution.