ToolStack

Loom vs Datadog

Side-by-side comparison · Updated 2026-03-30

Our VerdictLoom wins overall

Loom leads on our composite score — 4.7/5 on G2 vs Datadog's 4.5/5 — but the gap is narrow enough that team fit matters more than the numbers.

Choose Loom if…

Choose Loom if your team focuses on async standups and product walkthroughs and fits a freelancer, startup profile. Starting at $12.5/user/mo/user/mo with a free tier. Fastest way to communicate complex ideas asynchronously — record screen + camera in seconds with zero setup

Choose Datadog if…

Choose Datadog if your team focuses on infrastructure monitoring and application performance monitoring and fits a scaleup, enterprise profile. Free tier available. Unified observability platform — infrastructure monitoring, APM, logs, RUM, synthetics, and security all in one place, reducing tool sprawl

Loom
by Atlassian
4.7
out of 5 · 3k+ G2 reviews
Visit Loom ↗
Datadog
by Datadog
4.5
out of 5 · 600 G2 reviews
Visit Datadog ↗

Feature Comparison

FeatureLoomDatadog
Category
async_video
monitoring
G2 Score
4.7 / 5.0Better
4.5 / 5.0
G2 Reviews
2600
600
Free Tier
Starting Price
$12.5/user/mo
—
Mobile App
AI Features
API Access
SSO / SAML
SOC 2
Learning Curve
easy
steep
Platforms
web, mac, windows, ios, android, chrome_extension
web, ios, android

Pros & Cons

Loom

Pros
✓ Fastest way to communicate complex ideas asynchronously — record screen + camera in seconds with zero setup
✓ Loom AI automatically generates titles, summaries, chapters, and action items, saving significant post-recording effort
✓ Extremely low learning curve — even non-technical stakeholders adopt it instantly, making it ideal for cross-functional PM communication
✓ Deep Atlassian ecosystem integration (Jira, Confluence) since acquisition, embedding videos directly in project documentation
Cons
✗ Free tier is heavily limited — 25 videos max and 5-minute duration cap forces early upgrade for active users
✗ Video editing capabilities are basic — trimming and stitching only, no advanced editing features compared to dedicated video tools
✗ No native project management features — purely a communication layer that must pair with other PM tools

Datadog

Pros
✓ Unified observability platform — infrastructure monitoring, APM, logs, RUM, synthetics, and security all in one place, reducing tool sprawl
✓ 750+ out-of-the-box integrations covering virtually every cloud service, database, framework, and DevOps tool in modern stacks
✓ Watchdog AI automatically detects anomalies and correlates issues across the entire stack, significantly reducing mean time to resolution
✓ Best-in-class custom dashboards and visualization with real-time data, enabling product teams to build business-level KPI views alongside technical metrics
Cons
✗ Costs can escalate rapidly at scale — usage-based pricing across multiple modules (hosts, logs, traces, RUM sessions) makes budgeting difficult and bills unpredictable
✗ Steep learning curve for the full platform — teams often use only a fraction of capabilities due to the breadth of features and configuration options
✗ Log management pricing per ingested GB can become prohibitively expensive for high-volume environments without aggressive filtering and exclusion rules

Frequently Asked Questions

It depends on your needs. Loom scores 4.7/5 on G2, while Datadog scores 4.5/5. Loom is better for async_standups and product_walkthroughs, while Datadog excels at infrastructure_monitoring and application_performance_monitoring.
Loom starts at $12.5/user/mo per user/month with a free tier. Datadog starts at N/A per user/month with a free tier.
Loom supports 100 integrations, while Datadog supports 750.
Data verified 2026-03-30. Some links may be affiliate links — see disclosure.