API platform for virtual interlining and global flight distribution
Tripstack operates a high-scale flight search and distribution API handling 240M daily searches and 30B price points. The stack is heavyweight—Spark, Druid, Kafka, Elasticsearch, Kubernetes—with active migration to OpenStack and infrastructure-as-code (Terraform, ArgoCD, Flux), signaling a shift toward GitOps and container orchestration maturity. Product and data hiring skews senior, and active projects center on search optimization, cache efficiency, and low-latency inference, revealing internal friction around ranking relevance and infrastructure cost at this query volume.
Tripstack is a B2B Flights as a Service provider and virtual interlining platform, owned by Etraveli Group since 2019. The product connects airlines, low-cost carriers, and OTAs through an API, enabling partners to compose flexible multi-carrier itineraries and access Etraveli's global flight content, payments, fraud prevention, and customer support. The company operates from Toronto (HQ), with engineering and product teams distributed across India and Poland. At 51–200 employees, Tripstack is primarily an engineering and data-science organization focused on search infrastructure, pricing algorithms, and platform stability at scale.
Tripstack's core stack spans Apache Spark, Druid, Kafka, PostgreSQL, Elasticsearch, Redis, and Kubernetes. Development is C# / .NET Core on AWS, GCP, and Azure with GitLab CI/CD and Bitbucket for version control.
Tripstack handles over 240 million searches daily and ingests over 30 billion price points, operating as the API backbone for global virtual interlining partnerships.
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tripstack's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.