Nexla is a data integration platform processing over one trillion records monthly across Fortune 500 companies. The stack—Python, Kafka, Java, REST APIs, and AWS—reflects a mature engineering infrastructure built for scale and real-time movement. Current hiring is concentrated in engineering (5 roles, half staff/senior level) and support, indicating active feature development and customer-onboarding pressure; the projects list (connector SDK lifecycle, production data pipelines, automation rules) and pain points (legacy pipeline modernization, complex compliance, release-cycle velocity) suggest the company is solving for both technical debt and customer deployment friction at scale.
Nexla builds an AI-powered data integration platform designed for enterprise data teams and AI/ML operations. The product consolidates data from multiple sources through 500+ pre-built connectors, supporting ETL, ELT, streaming, API-first, and agentic RAG patterns—all with low-code or no-code interfaces. The company serves large, regulated enterprises (Autodesk, Carrier, DoorDash, Johnson & Johnson, LinkedIn, LiveRamp) processing over one trillion records per month. Nexla has been recognized in the Gartner Magic Quadrant for Data Integration Tools for four consecutive years and holds a 4.9/5 rating on Gartner Peer Insights. The organization spans 51–200 employees, headquartered in San Mateo, California, and was founded in 2016.
Nexla's core stack includes Python, Java, SQL, Kafka, AWS, GitHub, Jira, Pytest, Playwright, and REST APIs. The polyglot approach reflects both data-pipeline infrastructure (Kafka, SQL, Python) and modern DevOps practices (GitHub, Jira, Playwright for QA).
Nexla processes over one trillion records per month across its customer base, signaling enterprise-scale data movement and throughput reliability.
Other companies in the same industry, closest in size