Hive.co builds a marketing automation platform specifically for event promoters, layering email, SMS, and paid-ad campaigns on top of ticketing data. The tech stack reveals a heavy data engineering focus: Kinesis, Airflow, Dagster, Redshift, ClickHouse, and Snowflake point toward high-volume ingest and real-time personalization. Active projects around state-based pipelines, LLM-powered enrichment, and Kubernetes task processing confirm Hive is scaling beyond basic email marketing into a data platform—with pain points clustered around real-time ingestion and multi-channel message delivery at scale.
Hive.co is a SaaS platform that helps event promoters build revenue-generating marketing campaigns powered by ticketing data. Founded in 2014 and based in Kitchener, Ontario, the company operates at 51–200 employees with an engineering-heavy hiring mix focused on infrastructure and data roles. The product surface spans email, SMS, and Meta Ads Manager integrations, supported by a cloud-native data platform built on AWS, Snowflake, and Redshift. Sales and customer success are addressable through both direct outreach and product-led adoption in the event marketing vertical.
Hive.co uses AWS (RDS, Lambda, Kinesis, Glue), Snowflake, Redshift, ClickHouse, MongoDB, Elasticsearch, Airflow, Dagster, Python, Django, React, TypeScript, Kubernetes, Docker, and Terraform. Integrations include Shopify, HubSpot, Salesforce, and Meta Ads Manager.
Active projects include state-based email/SMS pipelines, Kubernetes task processing, Meta Ads Manager integration, real-time audience data platforms, ML model serving, and LLM-powered data enrichment—reflecting a shift from marketing automation toward data infrastructure.
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Hive.co'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.