Top 48 Alternatives to Datadog Synthetic Tests for Web/API Testing

Introduction and Context

Synthetic monitoring has been part of the QA and observability toolkit for over a decade. As teams moved toward continuous delivery and cloud-native systems, synthetic checks evolved from simple uptime pings to full browser journeys and deep API validations. Datadog Synthetic Tests emerged within this wave as part of the broader Datadog observability platform, combining browser and API checks with powerful dashboards, alerting, and tight CI/CD integrations.

Why Datadog Synthetic Tests became popular:

• It brings synthetic tests into the same place as logs, traces, and infrastructure metrics.

• It offers both a recorder-style experience and code-based flexibility for Web/API workflows.

• It connects easily to CI/CD pipelines and orchestrators, enabling pre- and post-deploy checks.

Teams value Datadog Synthetic Tests for its broad test automation capabilities, modern workflow support, and strong integrations. However, like any tool, it has trade-offs. It may require ongoing setup and maintenance, tests can become flaky if poorly structured, and some teams seek specialized capabilities (for example, visual diffs, performance, accessibility, security, or self-hosted control). As testing strategies mature, many organizations explore alternatives that better fit their scope, budget, or technical preferences.

Overview: Top 48 Alternatives for Datadog Synthetic Tests

Here are the top 48 alternatives for web/API testing and adjacent needs (synthetics, E2E UI, performance, security, accessibility, visual, and device/cloud execution):

• Artillery

• BackstopJS

• BlazeMeter

• BrowserStack Automate

• Burp Suite (Enterprise)

• Capybara

• Cucumber

• Cypress Cloud

• Cypress Component Testing

• Eggplant Test

• FitNesse

• Gatling

• Gauge

• Geb

• JMeter

• Katalon Platform (Studio)

• LambdaTest

• Lighthouse CI

• LoadRunner

• Locust

• Microsoft Playwright Testing

• NeoLoad

• New Relic Synthetics

• Nightwatch.js

• OWASP ZAP

• Pa11y

• Percy

• Pingdom

• Playwright Component Testing

• Playwright Test

• QA Wolf

• Ranorex

• Robot Framework + SeleniumLibrary

• Sauce Labs

• Selene (Yashaka)

• Selenide

• Serenity BDD

• Squish

• Storybook Test Runner

• TestCafe

• TestCafe Studio

• TestComplete

• Testim

• Tricentis Tosca

• Watir

• axe-core / axe DevTools

• k6

• reg-suit

Why Look for Datadog Synthetic Tests Alternatives?

• Cost and licensing: For high test volumes or many locations, pricing can increase; some teams prefer open source or a different commercial model.

• Specialized testing needs: Performance, security (DAST), accessibility (a11y), or visual regression often require tools focused on those domains.

• Depth of functional testing: Pure synthetics may not cover complex component-level, story-level, or desktop/mobile automation as deeply as dedicated frameworks.

• Control and hosting: Some organizations want self-hosted runners, custom environments, or offline execution.

• Flakiness and maintenance: Without careful engineering, browser synthetics can be brittle; teams may prefer frameworks with rich wait strategies or component-first testing.

• Ecosystem fit: Language preferences (JS, Python, Ruby, Java, Scala), team skills, and CI/CD tooling may favor different toolchains.

Alternatives in Detail

Artillery

A developer-focused load and performance testing tool for Web, APIs, and protocols, driven by YAML/JavaScript scenarios.

• Strengths: Dev-friendly scripting; scalable load; good integrations.

• Strengths: Works locally and in CI; strong observability hooks.

• Strengths: Open source core with Pro options.

Compared to Datadog: Focuses on load and performance rather than functional synthetics; pairs well with Datadog or can replace synthetic checks for performance SLAs.

BackstopJS

Open source visual regression testing built on headless Chrome for web UI comparisons.

• Strengths: Fast visual diffing; CI-friendly; flexible configs.

• Strengths: Easy to spot CSS/layout regressions.

• Strengths: Works with baselines across versions.

Compared to Datadog: Targets UI visual changes rather than uptime or API checks; complements Datadog with visual coverage.

BlazeMeter

A commercial, cloud-based performance testing platform compatible with JMeter, Gatling, and k6.

• Strengths: Massive scale; real-world load models; rich analytics.

• Strengths: Supports multiple OSS formats.

• Strengths: Enterprise governance and reporting.

Compared to Datadog: Purpose-built for load and performance; more robust at stress testing than Datadog synthetics.

BrowserStack Automate

A hosted browser/device cloud for Selenium, Playwright, Cypress, and Appium tests.

• Strengths: Large real browser/device coverage.

• Strengths: Parallelization; video/logs; session insights.

• Strengths: Strong CI integrations.

Compared to Datadog: Executes your E2E suites on real environments; not a synthetic monitoring tool but a powerful execution grid.

Burp Suite (Enterprise)

Enterprise-grade DAST for automated web/API security scanning.

• Strengths: Proven security engine; automation-friendly.

• Strengths: Scales across apps; audit trails.

• Strengths: Integrates with pipelines.

Compared to Datadog: Specializes in security findings, not general functional synthetics or uptime.

Capybara

A Ruby-based web automation library often used with RSpec or Cucumber.

• Strengths: Expressive DSL; good waiting strategies.

• Strengths: Strong BDD alignment; test readability.

• Strengths: Mature ecosystem, CI-friendly.

Compared to Datadog: Framework for functional E2E testing, not a monitoring service; best when you want code-first browser tests.

Cucumber

An open source BDD framework using Gherkin for multi-language acceptance tests.

• Strengths: Shared language for business and tech.

• Strengths: Widely supported runners and libs.

• Strengths: Works with web and API layers.

Compared to Datadog: Focuses on readable specs and collaboration; you still provide the test runner and infrastructure.

Cypress Cloud

Commercial SaaS for accelerating and analyzing Cypress test runs.

• Strengths: Parallelization; flake insights; dashboards.

• Strengths: Artifacts, timelines, analytics.

• Strengths: Tight Cypress ecosystem fit.

Compared to Datadog: Enhances functional testing at dev/test time; not a broad synthetic monitoring suite.

Cypress Component Testing

Runs framework components in a real browser for fast, isolated feedback.

• Strengths: Developer-centric; quick feedback loops.

• Strengths: Rich debugging; time-travel UI.

• Strengths: Works alongside E2E in Cypress.

Compared to Datadog: Component-first testing instead of production-like synthetic checks; great for shifting left.

Eggplant Test

A commercial model-based test automation tool with image recognition for desktop, web, and mobile.

• Strengths: Model-based productivity; AI/CV.

• Strengths: Cross-platform coverage.

• Strengths: Enterprise reporting and orchestration.

Compared to Datadog: Broad functional test automation across platforms; less about continuous synthetic monitoring.

FitNesse

An open source acceptance testing tool using a wiki and fixtures for Web/API.

• Strengths: Collaborative, living documentation.

• Strengths: ATDD alignment; extensible fixtures.

• Strengths: Works in CI.

Compared to Datadog: Acceptance tests owned by teams; better for collaboration than passive monitoring.

Gatling

A high-performance load testing tool using Scala-based scenarios.

• Strengths: Very efficient engine; code-as-tests.

• Strengths: Detailed metrics and assertions.

• Strengths: Scales in CI/CD.

Compared to Datadog: Deep performance testing vs. Datadog’s functional synthetics; complementary for performance SLAs.

Gauge

An open source, BDD-like spec framework from ThoughtWorks for web and more.

• Strengths: Markdown specs; reusable steps.

• Strengths: Multi-language support.

• Strengths: Strong CI tooling.

Compared to Datadog: Code and spec-driven functional testing; not a monitoring platform.

Geb

A Groovy DSL for web automation built on Selenium/WebDriver.

• Strengths: Concise DSL; powerful selectors.

• Strengths: Integrates well with Spock.

• Strengths: Reliable waiting and page objects.

Compared to Datadog: A developer framework for E2E automation rather than a monitoring service.

JMeter

A widely used open source tool for load testing Web/API/protocols.

• Strengths: Extensible plugins; GUI + CLI.

• Strengths: Mature community, broad protocol support.

• Strengths: Easy CI/CD integration.

Compared to Datadog: Load/perf-centric; not for browser synthetics or transactional monitoring dashboards.

Katalon Platform (Studio)

A low-code, all-in-one test platform for web, mobile, API, and desktop.

• Strengths: Recorder + scripting; reporting built-in.

• Strengths: Orchestration and analytics.

• Strengths: Good CI/CD support.

Compared to Datadog: More complete functional automation; Datadog excels at production-like monitoring.

LambdaTest

A cloud grid for web and mobile app testing.

• Strengths: Wide browser/OS/device coverage.

• Strengths: Parallel runs; integrations.

• Strengths: Debugging artifacts and logs.

Compared to Datadog: Execution infrastructure for your tests; not a synthetic monitoring suite.

Lighthouse CI

Open source audits for performance, accessibility, SEO, and best practices.

• Strengths: Automated audits in CI.

• Strengths: Trend tracking; budgets.

• Strengths: Developer-friendly CLI.

Compared to Datadog: Focuses on quality metrics, not uptime or transaction monitoring.

LoadRunner

An enterprise-grade load testing suite for web/API/protocols.

• Strengths: Large-scale, complex load models.

• Strengths: Enterprise reporting and governance.

• Strengths: Protocol-rich coverage.

Compared to Datadog: Performance and scalability testing vs. functional synthetics.

Locust

A Python-based load testing framework with user behavior scripts.

• Strengths: Python simplicity; distributed load.

• Strengths: Real-time web UI.

• Strengths: CI-ready, open source.

Compared to Datadog: Focuses on performance; not a synthetic monitoring service.

Microsoft Playwright Testing

A managed cloud service for running Playwright tests at scale.

• Strengths: Managed infra; parallel runs.

• Strengths: Traces, videos, insights.

• Strengths: Tight Playwright integration.

Compared to Datadog: Executes functional tests at scale; Datadog provides monitoring and alerting for synthetics.

NeoLoad

Commercial enterprise load and performance testing for Web/API/protocols.

• Strengths: Enterprise scale; detailed analysis.

• Strengths: CI/CD and APM integrations.

• Strengths: Collaboration and governance.

Compared to Datadog: Deep performance tooling rather than synthetic monitoring.

New Relic Synthetics

Scripted browser and API checks within the New Relic observability platform.

• Strengths: Similar to Datadog’s synthetics.

• Strengths: Integrated with APM and logs.

• Strengths: JS-based scripting flexibility.

Compared to Datadog: Very comparable offering; choose based on ecosystem fit and pricing.

Nightwatch.js

A JS-based E2E test framework using Selenium/WebDriver and modern drivers.

• Strengths: Simple config; readable tests.

• Strengths: Cross-browser; plugins.

• Strengths: CI-friendly runner.

Compared to Datadog: Functional E2E framework, not a monitoring platform.

OWASP ZAP

Open source DAST for automated web/API security scanning.

• Strengths: Community-driven; CI-ready.

• Strengths: Passive/active scanning modes.

• Strengths: Extensible for workflows.

Compared to Datadog: Security-focused, not general synthetic monitoring.

Pa11y

A CLI tool for automated accessibility checks in CI.

• Strengths: Fast a11y feedback.

• Strengths: Simple configuration.

• Strengths: Reports and thresholds.

Compared to Datadog: Accessibility focus vs. functional uptime/transaction tests.

Percy

A visual testing and review platform integrated with CI pipelines.

• Strengths: Snapshot diffs; approvals workflow.

• Strengths: Multi-framework SDKs.

• Strengths: Parallelization and baselines.

Compared to Datadog: Visual regression detection vs. synthetic monitoring and alerting.

Pingdom

SaaS for uptime and transactional checks for websites and APIs.

• Strengths: Simple uptime and flows.

• Strengths: Alerts and SLO views.

• Strengths: Global checkpoints.

Compared to Datadog: Similar synthetics for uptime; narrower analytics than a full observability suite.

Playwright Component Testing

Runs UI components in isolation using Playwright.

• Strengths: Component-first feedback.

• Strengths: Cross-framework support.

• Strengths: Tracing and debugging tools.

Compared to Datadog: Targets developer feedback loops, not production-like monitoring.

Playwright Test

A first-class test runner for Playwright with rich tooling.

• Strengths: Auto-waits, isolation, fixtures.

• Strengths: Traces, videos, reporters.

• Strengths: Fast parallel execution.

Compared to Datadog: Functional E2E runner; no built-in monitoring dashboards.

QA Wolf

A service plus open-source tooling for done-for-you E2E tests (Playwright-based).

• Strengths: Outsourced test creation and upkeep.

• Strengths: Flake reduction; CI-ready.

• Strengths: Clear coverage reporting.

Compared to Datadog: Focuses on building and maintaining E2E suites; Datadog focuses on synthetic monitoring.

Ranorex

Commercial test automation for desktop, web, and mobile with a recorder and scripting.

• Strengths: Object repository; resilient locators.

• Strengths: Cross-platform coverage.

• Strengths: Enterprise reporting.

Compared to Datadog: Broader app automation; not an observability-focused synthetic tool.

Robot Framework + SeleniumLibrary

Keyword-driven, open source framework for web automation and more.

• Strengths: Readable, reusable keywords.

• Strengths: Large ecosystem and libs.

• Strengths: Works well in CI.

Compared to Datadog: Test development platform rather than a monitoring suite.

Sauce Labs

A cloud platform for web and mobile testing on real devices and browsers.

• Strengths: Huge device/browser matrix.

• Strengths: Analytics, video, logs.

• Strengths: Parallelization at scale.

Compared to Datadog: Execution grid for your tests; not synthetics with observability.

Selene (Yashaka)

A Pythonic wrapper over Selenium inspired by Selenide.

• Strengths: Fluent API; auto-waits.

• Strengths: Clean, readable tests.

• Strengths: Python ecosystem friendly.

Compared to Datadog: Developer framework for E2E; lacks monitoring/alerting.

Selenide

A Java-focused wrapper over Selenium with smart waits and concise APIs.

• Strengths: Less flakiness; stable waits.

• Strengths: Clean page objects.

• Strengths: CI-ready reports.

Compared to Datadog: Functional testing library vs. synthetic monitoring.

Serenity BDD

A BDD-oriented automation and reporting framework with the Screenplay pattern.

• Strengths: Rich living documentation.

• Strengths: Composable test design.

• Strengths: Beautiful reports and dashboards.

Compared to Datadog: Focuses on readable, maintainable E2E tests; not a synthetic monitoring platform.

Squish

Commercial GUI automation for Qt/QML, web, desktop, and embedded UIs.

• Strengths: Strong Qt and embedded support.

• Strengths: Multi-language scripting.

• Strengths: Object-level interaction and verification.

Compared to Datadog: Deep app automation across platforms; Datadog excels at Web/API monitoring.

Storybook Test Runner

Playwright-based testing for Storybook stories with optional visual tooling.

• Strengths: Tests at the story level.

• Strengths: Fast, isolated coverage.

• Strengths: Great for design systems.

Compared to Datadog: Developer-focused component validation; not production synthetic checks.

TestCafe

An E2E web testing framework that runs without WebDriver.

• Strengths: Stable cross-browser engine.

• Strengths: Auto-waits; isolated context.

• Strengths: Simple setup and CI support.

Compared to Datadog: Functional automation framework; not a monitoring dashboard.

TestCafe Studio

A commercial, codeless IDE built on TestCafe for faster authoring.

• Strengths: Recorder and editing UI.

• Strengths: Built-in reports; CI support.

• Strengths: Low-code authoring.

Compared to Datadog: Test creation and execution, not observability-driven synthetics.

TestComplete

A commercial platform for desktop, web, and mobile with record/play and scripting.

• Strengths: Versatile scripting options.

• Strengths: Object repository and AI locators.

• Strengths: Enterprise integration and reports.

Compared to Datadog: End-to-end automation across apps; different from synthetic monitoring.

Testim

An AI-assisted E2E tool with self-healing locators (commercial).

• Strengths: Smart element stability.

• Strengths: Fast authoring; versioning.

• Strengths: CI/CD and analytics.

Compared to Datadog: Accelerates functional UI tests; not an observability suite.

Tricentis Tosca

Model-based test automation for web, mobile, desktop, and SAP.

• Strengths: Enterprise MBTA; strong SAP support.

• Strengths: Risk-based testing; orchestration.

• Strengths: Low-code creation at scale.

Compared to Datadog: Broad enterprise automation; Datadog is better for synthetic monitoring and alerting.

Watir

A Ruby library for browser automation (WebDriver-based).

• Strengths: Simple, readable Ruby API.

• Strengths: Mature, community-driven.

• Strengths: Works well in CI.

Compared to Datadog: Code-first E2E framework; lacks built-in monitoring dashboards.

axe-core / axe DevTools

Automated accessibility engine and tooling from the a11y community and vendors.

• Strengths: Accurate a11y rules engine.

• Strengths: Integrations with test frameworks.

• Strengths: CI enforcement and reports.

Compared to Datadog: A11y-specific checks; complements synthetics for accessibility coverage.

k6

A developer-friendly performance/load testing tool (open source + cloud).

• Strengths: JavaScript test scripts.

• Strengths: Efficient engine; cloud scale.

• Strengths: Grafana ecosystem fit.

Compared to Datadog: Focused on performance SLAs and load; not for browser journey monitoring.

reg-suit

Open source, CI-friendly visual regression diffing for web UIs.

• Strengths: Simple CI integration.

• Strengths: Baseline management; diffs.

• Strengths: Works with multiple renderers.

Compared to Datadog: Visual regression focus; complements Datadog for UI change detection.

Things to Consider Before Choosing a Datadog Alternative

• Project scope and type: Do you need uptime/production synthetics, functional E2E, component tests, performance, security, accessibility, or visual testing?

• Language and ecosystem fit: Align with your team’s primary stack (JS/TS, Python, Java, Ruby, Scala) and preferred frameworks.

• Ease of setup and maintenance: Consider authoring speed, locator stability, and how much infrastructure you must manage.

• Execution speed and scalability: Parallelization, cloud runners, and distribution matter for large suites and frequent builds.

• CI/CD integration: Native plugins, Docker images, and reporting artifacts make pipelines smoother.

• Debugging and observability: Traces, videos, screenshots, and logs speed up failure triage.

• Reporting and analytics: Stakeholder-friendly dashboards, historical trends, and flake detection improve test ROI.

• Security, compliance, and hosting: SaaS vs. self-hosted, data residency, and enterprise governance.

• Cost model: Evaluate per-run, per-user, or subscription pricing versus open source total cost of ownership.

• Team skills and ownership: Choose tools that your developers and QA can confidently maintain.

Conclusion

Datadog Synthetic Tests continues to be a strong choice for Web/API monitoring, especially when you want synthetics side by side with logs, metrics, and traces. Still, many teams benefit from augmenting or replacing parts of that stack with tools that specialize in functional automation, performance, accessibility, security, visual regression, or large-scale device/browser execution.

• Choose developer-centric E2E frameworks (Playwright, Cypress, TestCafe, Selenide/Selene, Nightwatch.js, Watir, Capybara, Geb) for fast, maintainable functional tests.

• Use performance tools (k6, Gatling, JMeter, Artillery, BlazeMeter, NeoLoad, LoadRunner, Locust) to validate throughput, latency, and scalability.

• Add accessibility and visual layers (axe-core/DevTools, Pa11y, Lighthouse CI, Percy, BackstopJS, reg-suit) to catch critical UX and compliance issues.

• Consider device and browser clouds (BrowserStack Automate, Sauce Labs, LambdaTest, Microsoft Playwright Testing) for coverage and speed.

• For enterprise and codeless models (Katalon, TestComplete, Ranorex, Testim, Tosca, Eggplant), prioritize governance, reporting, and cross-platform depth.

• If you want synthetics in another observability ecosystem, New Relic Synthetics and Pingdom are credible options.

• For security testing at scale, OWASP ZAP and Burp Suite (Enterprise) provide dedicated DAST capabilities.

• For story and component workflows, Storybook Test Runner and Playwright/Cypress Component Testing shift quality earlier.

The best fit depends on your testing goals, stack, and budget. Many teams adopt a hybrid approach: keep Datadog Synthetic Tests for production monitoring and pair it with specialized tools where they shine. This blend delivers faster feedback in development, robust pre-release checks in CI, and reliable monitoring in production.