RobynMeta
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TimescaleDBTiger Data
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About
Robyn is an open source, experimental Marketing Mix Modeling (MMM) package developed by Meta’s Marketing Science team. It’s designed to help advertisers and analysts build rigorous, data-driven models that quantify how different marketing channels contribute to business outcomes (like sales, conversions, or other KPIs) in a privacy-safe, aggregated way. Rather than relying on user-level tracking, Robyn analyzes historical time-series data, combining marketing spend or reach data (ads, promotions, organic efforts, etc.) with outcome metrics, to estimate incremental impact, saturation effects, and carry-over (adstock) dynamics. Under the hood, Robyn blends classical statistical methods with modern machine learning and optimization; it uses ridge regression (to regularize against multicollinearity in many-channel models), time-series decomposition to isolate trend and seasonality, and a multi-objective evolutionary algorithm.
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About
TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system.
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Platforms Supported
Windows
Not Supported
Mac
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Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
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Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Marketing teams, data scientists, and analysts interested in a solution to measure real incremental impact, attribute performance across channels, and optimize budget allocation in a transparent, privacy-compliant way
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Audience
Developers, data engineers, and analytics teams who need high-performance, PostgreSQL-compatible time-series storage and querying for IoT, fintech, DevOps, or event-driven applications
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
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Support
Phone Support
Not Supported
24/7 Live Support
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Online
Supported
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
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Company InformationMeta
Founded: 2004
United States
facebookexperimental.github.io/Robyn/
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Company InformationTiger Data
Founded: 2015
United States
www.tigerdata.com/timescaledb
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Categories |
Categories |
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Integrations
DataClarity Unlimited Analytics
Not Supported
Dataplane
Not Supported
Facebook
Supported
Facebook Ads
Supported
Instagram Ads
Supported
Last9
Not Supported
Meta Ads
Supported
Meta Pixel
Supported
MyDBA.dev
Not Supported
Ndustrial Contxt
Not Supported
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Integrations
DataClarity Unlimited Analytics
Supported
Dataplane
Supported
Facebook
Not Supported
Facebook Ads
Not Supported
Instagram Ads
Not Supported
Last9
Supported
Meta Ads
Not Supported
Meta Pixel
Not Supported
MyDBA.dev
Supported
Ndustrial Contxt
Supported
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