Updated
September 10, 2026
Harness FME delivers predictable pricing, DevOps pipeline integration, OPA governance, and GA warehouse-native experimentation — while Amplitude excels as a product analytics platform for growth teams.
Feature Comparison
| Feature | Harness | Amplitude Experiment |
|---|---|---|
| Pricing and Packaging | ||
| Predictable pricing model | Flat per-user, no overages | MTU-based, escalates steeply with scale |
| Feature Experimentation in base price | Growth tier required ($40K-$70K+/year) | |
| Full experiment stack in base price | CUPED, bandits, mutual exclusion = Enterprise only | |
| No overage charges | MTU overages trigger plan upgrade | |
| Free tier with feature flags | Up to 10K MTUs free | |
| Transparent public pricing | Growth and Enterprise are custom-quoted | |
| Feature Management | ||
| Boolean and multi-variant flags | ||
| Percentage rollouts | ||
| Targeted audience rules | ||
| Behavioral cohort targeting | Based on actual Amplitude analytics events | |
| Scheduled rollouts | ||
| No-code dynamic configurations | ||
| Custom SDK flag retrieval | ||
| Flag archiving with preserved history | March 2026 | |
| Rollout board | ||
| Client-side and server-side deployment | ||
| On-device local evaluation | Available | |
| Governance and Approvals | ||
| Policy As Code (OPA) at flag save time | Native OPA (March 2026) | |
| Advanced approval flows | Approval workflows available | |
| RBAC with fine-grained permissions | ||
| SCIM provisioning | ||
| SSO / SAML | ||
| Audit logs | ||
| Flag archive with preserved audit trail | ||
| Experimentation | ||
| A/B and multi-variant testing | ||
| Sequential testing | ||
| Multiple comparison correction | Not publicly documented | |
| CUPED variance reduction | Enterprise only | |
| Multi-armed bandits | Enterprise only | |
| Mutual exclusion groups | Enterprise only | |
| Holdouts | Enterprise only | |
| AI for results interpretation | Amplitude AI and guided UX | |
| Launch experiment from analytics chart | Amplitude native integration | |
| Warehouse-native experimentation | Snowflake, Redshift (GA April 2026) | Statsig acquisition — original engineering team now at OpenAI |
| Experimentation in base price | Growth tier required | |
| Product Analytics | ||
| Native product analytics | Funnels, cohorts, user journeys, retention | |
| Behavioral cohort targeting | Target by actual product behavior | |
| Session replay | Linked directly to analytics | |
| Causal analysis | Enterprise | |
| Predictive audiences | Enterprise | |
| AI behavioral insights (proactive) | Amplitude AI | |
| Integration with Amplitude Analytics | Native integration available | Native |
| Data Architecture and Privacy | ||
| On-device flag evaluation | Available | |
| No user behavioral data required by vendor | Analytics requires event streaming to Amplitude | |
| Warehouse-native experimentation | GA, Snowflake and Redshift | Statsig acquisition uncertainty |
| Data stays in your warehouse | Only aggregated results sent | Events live in Amplitude's platform |
| Broad SDK support | ||
| Platform Integration | ||
| Integrated within a DevOps platform | CI, CD, IDP, IaCM, CCM, STO | Product analytics suite only |
| Native CI/CD pipeline integration | Manual integration required | |
| Pipelines for flag lifecycle automation | ||
| Internal Developer Portal | Via Harness IDP | |
| SDLC Knowledge Graph | Via Harness platform | |
| Platform roadmap stability | Statsig acquisition uncertainty | |
Key Differentiators
Why Engineering Teams Choose Harness FME Over Amplitude Experiment
Two Different Tools Serving Two Different Buyers
Harness FME is a feature management and experimentation platform built for engineering and DevOps teams that connects to software delivery. Flag lifecycle automation, including creation, rollout, retirement, and cleanup, can be driven by Harness Pipelines natively. Harness FME also has a native integration with Amplitude Analytics, so teams can keep Amplitude for product analytics while using Harness FME as the engineering-side flag platform. The two tools are complementary, not competing.
Amplitude Experiment is a product analytics platform that added feature flags and A/B testing to serve product managers and growth teams. Its flags and experiments are designed around the product analytics workflow: launch an experiment from a funnel chart, target users by behavioral cohort, analyze results in the same charts you use for retention and activation. This is genuinely powerful for product and growth teams. For engineering and DevOps teams, it means feature flags exist in a product analytics context with no native connection to CI/CD pipelines, IaC, or software delivery workflows.
Predictable Pricing That Does Not Punish Scale
Harness FME charges a flat per-user rate with no overage fees. All experimentation capabilities including sequential testing and multiple comparison correction are included in base pricing. No separate SKU unlocks required. Pricing scales predictably at enterprise volumes without surprise billing as your user base or experiment frequency grows.
Amplitude's pricing is MTU-based (Monthly Tracked Users), starting free for up to 10K MTUs. Feature flags are included at lower tiers, but Feature Experimentation (SDK-based, code-side A/B testing) requires the Growth tier, which is custom-quoted and typically runs $40K-$70K per year for 100K MTUs. The full experiment stack (CUPED variance reduction, mutual exclusion groups, multi-armed bandits, holdouts) is Enterprise-only, with contracts commonly ranging from $100K to $250K+ annually depending on MTU volume and bundled modules. Costs escalate unpredictably as MTU volume grows and as teams unlock statistical capabilities.
Warehouse-Native Experimentation: Delivered vs. Promised
Harness FME's Warehouse Native Experimentation went GA in April 2026 for Snowflake and Amazon Redshift. Experiment queries run directly in your data warehouse. Harness FME receives only aggregated results and never stores raw warehouse event data. This is a shipped, supported capability built and maintained by the Harness engineering team, with no acquisition uncertainty.
In May 2026, Amplitude announced it would take over the Statsig brand and customer base. OpenAI had acquired Statsig for $1.1B, but retained the entire original Statsig engineering team. This means Amplitude now manages Statsig's warehouse-native experimentation platform (Snowflake, BigQuery, Databricks) without the engineers who built it. Industry observers have described the arrangement as 'a race car without a driver.' Amplitude's own native experiment data lives inside Amplitude's system, requiring reverse ETL or engineering effort to connect results to warehouse-level business metrics. The roadmap for unifying Amplitude's own experimentation with Statsig's warehouse-native architecture is uncertain.
Policy As Code Governance and Flag Lifecycle
Harness FME integrates with Harness Policy As Code (OPA) natively, enforcing governance at every flag create, update, delete, or archive operation. Teams can validate naming conventions, targeting rules, and rollout percentages before anything reaches production. Flag archiving (March 2026) removes flags from active views while preserving all historical data for compliance. This is the same governance engine used across CI, CD, and IaC within the Harness platform.
Amplitude includes approval workflows and RBAC for governance, but there is no OPA integration and no governance enforced at flag save time. Flag lifecycle management is limited, with no true archiving capability that preserves historical impressions, configurations, and audit logs. For engineering teams managing hundreds of flags across complex environments, this creates compliance and technical debt risk.
Data Privacy and On-Device Evaluation
Harness FME uses an in-memory decision engine that evaluates flags on-device. No user data or PII is sent to Harness for evaluation. For teams that want to use Amplitude for analytics, the integration enriches Amplitude with flag variant data without requiring Harness FME to send behavioral data to a third party. Compliance with HIPAA, GDPR, and data sovereignty requirements is straightforward.
Amplitude is an analytics-first platform. Its core value requires streaming user behavioral events to Amplitude's cloud for storage, analysis, and cohort building. While local flag evaluation is supported, the broader data model sends user activity to Amplitude for analytics. For teams in regulated industries (healthcare, financial services, government), this behavioral data streaming creates data residency and compliance review requirements.
Decision Guide
Amplitude Experiment is good for
- Your product or growth team is the primary operator of experiments and they already live in Amplitude for analytics. Launching an experiment directly from a funnel chart or session replay is a genuine day-to-day advantage.
- You need CUPED variance reduction, mutual exclusion groups, or multi-armed bandits and are on an Enterprise plan where those are included.
- Deep behavioral cohort targeting based on what users actually did in your product is central to your experimentation strategy and you want it native rather than via integration.
- Your primary concern is product analytics depth, with session replay, causal analysis, predictive audiences, and AI-powered behavioral insights as core requirements.
Harness is best for
- Your engineering or DevOps team owns feature flag management and needs it connected to the software delivery pipeline, not a product analytics suite.
- You need experimentation (A/B testing, sequential testing, warehouse-native) included in base pricing without a Growth or Enterprise tier unlock.
- You need Policy As Code governance enforced at flag save time, and true flag archiving with preserved history for compliance in regulated industries.
- You want warehouse-native experimentation that is GA, fully supported, and not contingent on a recently-acquired platform whose original engineering team has departed.
- You are already on Harness CI, CD, or other Harness modules and want flag lifecycle automation as part of your delivery pipeline.
- You use Amplitude for product analytics and want to keep it there, while using Harness FME as the purpose-built engineering-side feature management tool.
Summary
Amplitude is one of the strongest product analytics platforms available — and its integrated experiment design, behavioral cohort targeting, and CUPED-powered statistical rigor make it a genuine choice for product and growth teams.
More Comparisons
Harness vs
Cequence Security
Harness WAAP was the top performer in the independent SecureIQLab 2025 Cloud WAAP CyberRisk Validation Report — leading on web, bot, and API attack efficacy. It runs API discovery, testing, protection, bot defense, WAF, and AI security in one console, deploys at any point in your architecture (eBPF, language agents, API gateway, edge, network proxy) with 30+ integrations, includes the MCP Server with your subscription, and runs shift-left API testing in CI/CD.
Compare →
Harness vs
Spot by NetApp
Compare Harness CCM and Spot by NetApp for cloud cost management and automated infrastructure optimization.
Compare →
Harness vs
Gremlin
Harness Resilience Testing facilitates collaboration between SREs and developers while automating chaos, load, and disaster recovery testing — beyond Gremlin's manual approach.
Compare →