Cassandra
6.3#4 in marketing performance management softwareFrom €2,700 a monthWeb
VisitCassandra vs Google Meridian
Google Meridian
6.8#2 in marketing performance management softwareFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Cassandra | Google Meridian |
|---|---|---|
| Intended users | Cassandra presents solutions for ecommerce and retail, B2B, education, fintech and charity organizations. | Google describes Meridian as designed for cross-functional measurement teams, with learning paths for marketing analysts, business users, data scientists, and technical practitioners. |
| Product | Cassandra is a marketing measurement platform that combines measurement tools to help teams decide where to invest for growth. | Meridian is an open-source marketing mix modeling library for building, running, and analyzing Bayesian models with causal inference capabilities. |
| Security | Cassandra's about page says it achieved SOC 2 compliance in 2024. | The Meridian Studio page describes its UI-based solution as secure and governed, but does not specify security certifications or compliance standards. |
| Support | The Essentials plan includes guided onboarding, while higher service tiers list priority or dedicated support and training. | The Meridian support page directs users to Discord for community support and GitHub for technical troubleshooting, feature requests, and bug reports. |
Cassandra plans
- Essentials€2,700 a month
- Complete€3,400 a month
- Scale€4,050 a month
- EnterprisePriced on request
Google Meridian plans
- Meridian Open-SourceFree
Pick Cassandra if…
Cassandra suits teams in ecommerce and retail, B2B, education, fintech, or charity organizations that need marketing measurement and budget planning. Its listed plans have six-month minimum commitments, except Enterprise, whose minimum commitment is custom.
Pick Google Meridian if…
Meridian suits cross-functional measurement teams that need to estimate marketing contribution, assess channel allocation, or use geo experiments to calibrate models. Its learning paths are aimed at marketing analysts, business users, data scientists, and technical practitioners.