Sisense vs OpsLevel
Side-by-side comparison of AI visibility scores, market position, and capabilities
NYC embedded analytics and BI unicorn at $184.8M 2024 revenue (+32% YoY) with 2,000+ customers (eBay/UiPath/Wix); $274M total (Series F 2020 $1B+ valuation) with Sisense Intelligence GenAI competing with Looker for embedded SaaS analytics.
About
Sisense is a New York City-based embedded analytics and business intelligence platform — backed with $274 million in total funding with unicorn status ($1 billion+ valuation) achieved in January 2020 Series F — providing approximately 2,000 enterprise customers with AI-powered analytics tools for embedded BI (the analytics SDK that SaaS companies embed in their products for customer-facing reporting) and internal business intelligence for non-technical business users. In 2024, Sisense reported $184.8 million in revenue (up from $140 million in 2023). The platform — comprising Fusion Embed (white-label embedded analytics), Compose SDK (developer API for custom analytics applications), and Sisense Cloud (hosted BI platform) — serves enterprise customers including eBay, UiPath, Wix, Tinder, Philips, and Nasdaq. In 2024, Sisense launched Sisense Intelligence (GenAI analytics suite including AI-generated explanations and forecasting features). The company experienced a significant data breach in April 2024 and implemented workforce reductions in 2022 and 2024. Founded in 2004 in Tel Aviv, Israel.
OpsLevel is a developer portal and service catalog for tracking service ownership, maturity scorecards, and production readiness across microservices.
About
OpsLevel is a developer portal platform that gives engineering organizations visibility into the services they operate, who owns them, and how mature they are relative to internal engineering standards. At its core, OpsLevel maintains a service catalog that maps every microservice, repository, and infrastructure component to a team owner, populating metadata automatically from integrations with GitHub, GitLab, PagerDuty, Datadog, and cloud providers. This catalog becomes the authoritative source of truth for answering questions like who to contact about a service, what tier of reliability it requires, and what dependencies it has — questions that are often unanswerable at engineering organizations that have grown past the point where everyone knows everything.
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