Most legacy entertainment metadata systems were built for the cable era.
They rely on large manual teams to enter and update data — a process that’s slow, error-prone, and expensive.
Reelgood takes a different approach.
Our machine learning (ML) models handle data matching, cleanup, and quality assurance automatically, delivering faster, cleaner, and vastly more affordable data built for the streaming age.
Reelgood vs Gracenote
and other Legacy Metadata Providers
(Based on publicly available information and customer feedback as of November 2025.)
- Real-time Streaming Availability Updates
- TV & Movie Metadata Accuracy
- Cost Efficiency
- Metadata Freshness
- Popularity & Trending Insights
- Integration Flexibility
- Customer Responsiveness
- Proven Accuracy
- Real-time Streaming Availability UpdatesData continually updated every few minutes
- TV & Movie Metadata Accuracy99%+ verified accuracy, no duplicates or mismatched titles
- Cost EfficiencyAutomation keeps pricing affordable
- Metadata FreshnessMachine learning–driven updates as data changes
- Popularity & Trending InsightsBased on viewing behavior from millions of users
- Integration FlexibilityOpen APIs, supports IMDb & TMDB IDs
- Customer ResponsivenessDedicated success team, quick turnaround
- Proven AccuracySelected in every in-depth competitive bake off - including those performance by Google, Perplexity, Pew Research, Wharton and Stanford
Legacy Metadata Providers
(e.g. Gracenote)
- Real-time Streaming Availability UpdatesDelayed, manual refresh cycles
- TV & Movie Metadata AccuracyProne to human data entry errors
- Cost EfficiencyLabor-intensive workflows drive up cost
- Metadata FreshnessBatch updates with lag times
- Popularity & Trending InsightsNone
- Integration FlexibilityProprietary ID formats
- Customer ResponsivenessSlow enterprise processes
- Proven AccuracyNot selected in comparative evaluations
Why Leading Platforms
Choose Reelgood
Global streaming services and consumer tech companies have a choice.
They partner with Reelgood over legacy providers because of:
Reelgood’s ML-based system automatically detects and corrects data errors — no need for armies of manual data entry staff.
Reelgood has won competitive data evaluations (“bakeoffs”) by organizations including Apple, Pew Research, Perplexity, Princeton, and Wharton.
No duplicates, no mismatched titles — ever. (You’ll never see Black Panther’s synopsis attached to Interstellar again.)
Automation means less overhead, faster delivery, and a fraction of legacy provider pricing.
Reelgood’s platform automatically ingests, normalizes, and updates streaming availability data across 300+ global sources every few minutes.
Streaming title availability updates every few minutes, keeping your catalog data in sync with the real world.
Trusted by Leading Streaming and Tech Companies
Google, Apple, Starz, Tubi, and other global leaders rely on Reelgood data to power search, discovery, and analytics.
“Reelgood’s data powers our content discovery experience with unmatched freshness and accuracy.”
Frequently Asked Questions
Reelgood is built for streaming-native TV & movie metadata — updated in near real time and delivered via modern APIs and Amazon S3 infrastructure. Gracenote was originally designed for legacy broadcast metadata and typically relies on slower, more manual update processes.
Upgrade to the Modern Standard in TV & Movie Metadata
(and Streaming Title Availability)
Stop paying legacy prices for outdated, manually maintained data.
Reelgood gives you speed, accuracy, and flexibility built for the streaming era.
Disclaimer: Comparisons based on publicly available information and customer feedback as of November 2025. “Gracenote” is a registered trademark of Nielsen Media Data, used here for identification purposes only.