Holisto operates a hotel rate-comparison engine built on polyglot infrastructure—Google cloud analytics paired with Snowflake, Redshift, and BigQuery for pricing data, plus .NET Core and C# for backend services. The tech stack reveals a data-first org managing millions of rate permutations; active projects around .NET 8 architecture migration and A/B testing optimization suggest backend modernization underway. Hiring is sparse but senior-skewed (all 5 open roles at senior level) and concentrated in Poland, indicating offshore engineering consolidation.
Holisto is a hotel pricing intelligence platform acquired by trivago that aggregates rates across multiple booking channels to surface better hotel deals. The product sits at the intersection of travel distribution and data engineering, requiring both high-throughput rate aggregation and accurate pricing comparison across thousands of properties and commission structures. The company operates at scale—infrastructure projects reference millions of travelers—and manages compliance complexity around revenue recognition and payment reconciliation, typical friction points for travel-tech financial reporting.
Holisto runs Google Analytics and BigQuery for analytics, Snowflake and Redshift for data warehousing, Elasticsearch for search, Kubernetes for orchestration, .NET Core and C# for backend services, plus Figma and Jira for internal tooling. Python and Stripe handle automation and payments.
Active projects include migrating to .NET 8 architecture, building an infrastructure platform to handle millions of travelers, customer analytics platform ownership, and A/B testing optimization.
Holisto'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.