Alooma vs Segment: What are the differences?
Alooma: Integrate any data source like databases, applications, and any API - with your own Amazon Redshift. Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now; Segment: A single hub to collect, translate and send your data with the flip of a switch. Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
Alooma belongs to "Big Data as a Service" category of the tech stack, while Segment can be primarily classified under "Analytics Integrator".
What is Alooma?
What is Segment?
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I’ve known Peter at Segment for about a year now. I think I first got wind of Segment through their Analytics Academy. Segment seemed like it could be really useful for folks that have a lot of analytics solutions. For us, it was more of a future-proof sort of thing. Where I knew we’d need more analytics (by more, I mean something other than Google Analytics) eventually so this seemed like an easy way to add new ones later on. It’s definitely been useful so far and I’m looking forward to using it more as we add more analytics solutions.
Instead of going back and forth integrating 3rd party scripts, Segment let me set up tracking once then I could switch all other tools on from their control panel. Made it easier to get Mixpanel, Intercom, Olark etc. up and running without touching code.
Logging analytics for payment attempts, successes, failures, total revenue, enrollments, project submissions, etc.
Integration of various user data sources and destinations for marketing automation, communications, and analytics.