MongoDB vs ScyllaDB
On the evidence we track, MongoDB leads this comparison with a composite score of 76/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for nosql databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
MongoDB
LeaderMongoDB is a fully managed cloud database that uses flexible document-based storage and supports complex queries, analytics, and advanced search capabilities including vector and full-text search functionality.
ScyllaDB
A distributed database system optimized for fast data retrieval and high throughput, particularly for AI workloads including vector search and feature storage. Available as both a managed cloud service and self-hosted software.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
MongoDB
LeaderFree tier (512MB), Flex from $8–$30/month, Dedicated from $56.94/month
- Free (M0)Free
- 512MB storage
- 32MB sort memory
- 100 ops/sec
- shared vCPUs
- replica set
- Flex Clusters$8–$30/month based on usage
- hourly billing
- monthly invoices
- Dedicated ClustersFrom $56.94/month
- dedicated resources
- auto-scaling
- horizontal scaling via sharding
ScyllaDB
Subscription-based cloud tiers (Standard, Professional, Premium) with usage calculator. Exact pricing not disclosed on public pages.
- StandardIndustry-leading performance, 2 Hour P1 support
- Fully managed on AWS & GCP
- High-throughput low-latency
- Vector Search
- Auto-scaling storage & compute
- SOC2, ISO certifications
- +2 more
- ProfessionalEnterprise-grade scalability, 1 Hour P1 support, 24x7
- All Standard features
- 1 Hour P1 Support response
- 24x7 support
- Bring Your Own Account
- Multi-region active-active HA/DR
- +2 more
- PremiumContact sales
- All Professional features
- 15 minutes P1 Support response
- 24x7 support
- Bring Your Own Encryption Key
- Advanced networking (Private Link)
- +3 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
MongoDB
Leader- Vertex AI
- BigQuery
- Datastream
- Google Kubernetes Engine
- Looker
- Apigee
- Apache Kafka
- Google Vertex AI
- Google Cloud BigQuery
- Google Cloud Datastream
- Google Cloud Functions
- Kubernetes
ScyllaDB
- DynamoDB (Alternator API compatibility)
- Kubernetes (ScyllaDB Operator)
- AWS
- GCP
MongoDB or ScyllaDB: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.