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It's a split decision.
ScyllaDB is a distributed NoSQL database aimed at high-throughput workloads that need predictable single-digit-millisecond latency, including feature stores and vector search. MongoDB is a document database platform for operational apps, search, analytics and AI, available through Atlas or self-managed software. Choose ScyllaDB when scale and latency drive the architecture and its resource-based pricing fits. Choose MongoDB for a flexible document model, a free Atlas tier, and integrations with 100+ technologies. Neither choice is a universal performance winner.
01Side by side
| ScyllaDB | MongoDB | |
|---|---|---|
| Pricing model | Resource-based; no per-request charges; monthly rates unpublished | Hourly Atlas billing; Flex starts $8/month; dedicated from $56.94 |
| Free tier | 30-day Developer trial; 48-hour Production Evaluation | M0 free forever; 512 MB, up to 100 ops/sec |
| Self-hosting | ScyllaDB Enterprise offers self-managed deployment | Self-managed MongoDB; Community Edition available at no cost |
| API and SDKs | Distributed NoSQL; homepage names no specific API or SDK | Document model with a single query API |
| Integrations | Homepage names no specific integrations | Integrates with 100+ technologies |
| Deployment model | ScyllaDB Cloud or self-managed Enterprise | Atlas across clouds or self-managed software |
| Limits and scaling | Petabytes, billions of embeddings; single-digit-ms latency claimed | M0: 100 ops/sec; dedicated: 10 GB–4 TB storage |
| Lock-in and migration | Positioned as a DynamoDB and Cassandra replacement | Relational Migrator supports migration to MongoDB |
ScyllaDB Choose ScyllaDB if
- Choose ScyllaDB if predictable low latency is a core requirement.
- Choose ScyllaDB if your workload needs high throughput at large scale.
- Choose ScyllaDB if resource-based pricing suits your capacity planning.
MongoDB Choose MongoDB if
- Choose MongoDB if your application fits a flexible document model.
- Choose MongoDB if you want to start on Atlas's free M0 tier.
- Choose MongoDB if its 100+ technology integrations fit your stack.
02Pricing at real usage
ScyllaDB Cloud lists Standard, Professional and Premium plans, but the vendor does not publish monthly prices. Standard uses resource-based pricing with no per-request charges; the plan includes one daily backup. Cross-AZ or cross-region transfer and backup storage beyond that allowance can add cost. The vendor lists a 30-day Developer Free Trial and a 48-hour Production Evaluation. Self-managed ScyllaDB Enterprise requires a custom quote, with licensing based on provisioned vCPUs and cluster sizing.
MongoDB Atlas offers M0 free forever, with 512 MB storage and up to 100 operations per second. Flex starts at $0.011 per hour, with listed usage costs of $8–$30 per month. Dedicated clusters start at $56.94 per month; Atlas bills hourly with monthly invoices. Atlas Infinite is listed at $0.09 per hour in public preview. Usage and cluster size drive the bill.
03API, SDKs and integration
MongoDB centers application access on a document model and a single query API. Its homepage links to documentation, Community Edition for local development, Compass for working with data in a GUI, and a third-party integrations catalog. MongoDB says it integrates with 100+ technologies. The product pages identify the API approach, but do not provide a specific SDK-language list or CLI details here; check the docs for the language and tooling your codebase uses.
ScyllaDB is presented as a distributed NoSQL database for low-latency, high-throughput workloads, with ScyllaDB Cloud as its managed service. Its homepage describes feature-store and vector-search use cases but names no specific integrations, API, SDKs, languages or CLI. That leaves more integration detail to verify before choosing it: confirm client-library support, compatibility requirements and operational tooling against your application stack. MongoDB has the clearer named integration catalog; neither product page establishes a CLI comparison.
04Open source, self-hosting and lock-in
ScyllaDB offers ScyllaDB Enterprise as a self-managed product, licensed according to provisioned vCPUs and cluster sizing; ScyllaDB Cloud is the managed option. MongoDB can run on your infrastructure through its self-managed software, and its Community Edition is available at no cost. MongoDB Enterprise Advanced has a commercial license and includes Enterprise Server, Ops Manager and Cloud Manager, Kubernetes Operator, and consultative support.
Neither vendor's product pages establish an open-source license for the products compared here, so verify the license terms that apply to your intended deployment. MongoDB lists Relational Migrator as a tool for migration to MongoDB. ScyllaDB positions itself as a replacement for DynamoDB and Cassandra. Neither page specifies data-export formats or the effort involved in moving away later. Before committing, ask both vendors about export paths, compatibility and migration support.
Questions people ask
Is ScyllaDB faster than MongoDB?
The published vendor claims are not a head-to-head benchmark. ScyllaDB says it targets predictable single-digit-millisecond latency and high throughput, including at petabyte scale. MongoDB lists Atlas options for demanding workloads, including Infinite in public preview. Compare both against your workload, data model and latency target before treating either as faster.
Which database is cheaper?
MongoDB has a free Atlas M0 tier and published Atlas prices, including Flex usage costs of $8–$30 per month and dedicated clusters from $56.94 per month. ScyllaDB Cloud prices are not published; its Standard plan charges by resources rather than requests. Compare expected cluster size, transfer and backup costs.
Can I self-host ScyllaDB and MongoDB?
Yes. ScyllaDB lists Enterprise as a self-managed product, with licensing based on provisioned vCPUs and cluster sizing. MongoDB offers self-managed software, including its Community Edition for local development at no cost and Enterprise Advanced for commercial deployments. Confirm each product's licensing and support terms for your environment.
Which is better for vector search?
Both describe vector-search use cases. ScyllaDB highlights contextual search across billions of embeddings and positions it for large-scale AI workloads. MongoDB lists Vector Search for semantic search, recommendations, Q&A and generative AI context. The product claims do not establish a direct performance winner; evaluate against your embedding volume and query needs.