How CubeAPM Plans To Take On Datadog And New Relic With Its 80% Cheaper AI Observability Stack
When Vineet Chirania was scaling his train-ticket booking startup, Trainman, a decade ago, he encountered a problem that would eventually…
In the world of application monitoring, two giants, Datadog and New Relic, have long held sway. However, their pricing models and data residency concerns have led two former executives to create a challenger: CubeAPM. Vineet Chirania and Vijay Aggarwal, both from IIT Roorkee, co-founded the startup after experiencing similar frustrations with observability software while scaling their respective startups.
CubeAPM promises to cut enterprise monitoring costs by up to 80% while keeping data within customers' own cloud environments. The startup now serves around 50 enterprise clients, including Delhivery and Ola Group, generating nearly $1.5 Mn in annual recurring revenue (ARR) while remaining profitable since inception. CubeAPM's self-hosting architecture enables data to remain within the customer's cloud environment, addressing concerns around cost, data residency, and latency.
The startup's proprietary compression and storage technologies compress incoming data to a fraction of its original size, significantly reducing storage, compute, and memory requirements. This cost advantage, combined with a bundled pricing model based on data ingestion volume, makes CubeAPM an appealing alternative to traditional observability vendors.
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