# MongoDB vs PlanetScale

| Attribute | MongoDB | PlanetScale |
|---|---|---|
| **vioscaleAI score** | 75.6 (72% (medium)) | 72.6 (73% (medium)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 8 | - |
| adoption.github_stars | 28,533 | - |
| adoption.stackoverflow_questions | 170,000 | - |
| content.faq | `[{"answer":"MongoDB is a document database that stores data in flexible, JSON-like formats rather than rigid relational tables. It is designed for modern application development and supports various workload types including operational transactions, real-time search, vector search for AI applications, and streaming data processing. The flexible schema allows applications to evolve without downtime or schema migrations.","source":"https://www.mongodb.com/docs/manual/introduction/","question":"What is MongoDB and what type of database is it?","confidence":0.95},{"answer":"MongoDB is open source under the Server Side Public License (SSPL) v1.0, which requires that enhancements to MongoDB be shared with the community. Drivers are licensed under Apache License 2.0. MongoDB also offers a commercial license for organizations whose legal requirements are incompatible with SSPL, and a separately available MongoDB Enterprise Advanced edition.","source":"https://www.mongodb.com/community/licensing","question":"Is MongoDB open source and what license does it use?","confidence":0.95},{"answer":"MongoDB provides official client libraries for almost all modern programming languages and is compatible with popular application frameworks. Common stacks include MERN (MongoDB, Express, React, Node.js) and MEAN (MongoDB, Express, Angular, Node.js). Developers can access language-specific API documentation and driver references for their chosen technology stack.","source":"https://www.mongodb.com/docs/","question":"What programming languages and frameworks does MongoDB support?","confidence":0.92},{"answer":"MongoDB offers three deployment models: MongoDB Atlas, a fully managed cloud service available on AWS, Azure, and Google Cloud; MongoDB Enterprise Advanced for self-managed on-premises or private cloud deployments; and MongoDB Community Edition for open-source local development. Each option provides different levels of automation, support, and operational responsibility.","source":"https://www.mongodb.com","question":"What deployment options are available for MongoDB?","confidence":0.93},{"answer":"MongoDB Atlas operates on a pay-as-you-go model with a free-forever M0 tier (512 MB storage) for learning and exploration, flexible hourly clusters for development, and dedicated clusters starting around $57 per month for production workloads. Enterprise Advanced pricing is custom and available through direct sales. Costs vary based on cluster size, storage, data transfer, and optional add-on services like vector search and stream processing.","source":"https://www.mongodb.com/pricing","question":"What is MongoDB's pricing model?","confidence":0.9},{"answer":"MongoDB includes encryption at rest and in transit via TLS/SSL, multiple authentication methods (SCRAM, X.509, Kerberos, LDAP, OIDC), role-based access control, queryable encryption, client-side field-level encryption, IP access lists, and audit logging. MongoDB Atlas comes preconfigured with secure default settings and supports network peering and private endpoints across major cloud providers.","source":"https://www.mongodb.com/docs/manual/security/","question":"What enterprise security features does MongoDB provide?","confidence":0.92},{"answer":"MongoDB uses flexible JSON-like documents instead of rigid table schemas, allowing data models to change without downtime. Embedded documents and arrays reduce the need for joins, which can improve query performance for certain workloads. The lack of enforced schemas supports polymorphic data structures where different documents in the same collection can have different fields, though this flexibility requires different application design patterns than relational databases.","source":"https://www.mongodb.com/docs/manual/introduction/","question":"What are the main differences between MongoDB and traditional relational databases?","confidence":0.93},{"answer":"Yes, MongoDB is a unified platform that combines operational data, vectors, and streaming in a single system. It includes vector search for semantic queries and AI-powered applications, stream processing via Apache Kafka integration using familiar MongoDB syntax, and real-time analytics with aggregation pipelines. This consolidation of multiple workload types can be more efficient than managing separate specialized databases.","source":"https://www.mongodb.com","question":"Can MongoDB handle real-time analytics, vector search, and streaming data?","confidence":0.91}]` | `[{"answer":"PlanetScale is a database platform providing MySQL and PostgreSQL databases with horizontal scaling capabilities powered by Vitess clustering technology. It is indexed under Relational Databases.","source":"https://planetscale.com","question":"What is PlanetScale?","confidence":0.6},{"answer":"PlanetScale is a paid product; published pricing starts at $5 per month. There is no free tier. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://planetscale.com/blog/amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database","question":"How much does PlanetScale cost?","confidence":0.6},{"answer":"PlanetScale supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://planetscale.com/blog/amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database","question":"What platforms does PlanetScale support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for PlanetScale, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://planetscale.com/blog/amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database","question":"Can PlanetScale be self-hosted?","confidence":0.6},{"answer":"We have confirmed 5 integrations for PlanetScale, including Vantage, Netlify, Debezium, Cursor and Codex. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://planetscale.com","question":"What does PlanetScale integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for PlanetScale. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as PlanetScale not holding them. Always confirm compliance directly before you rely on it.","source":"https://planetscale.com/blog/amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database","question":"What security certifications does PlanetScale have?","confidence":0.6},{"answer":"PlanetScale is available worldwide. Its primary market is the United States.","source":"https://planetscale.com/blog/amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database","question":"Where is PlanetScale available?","confidence":0.5}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | MongoDB 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. | PlanetScale is a database platform providing MySQL and PostgreSQL databases with horizontal scaling capabilities powered by Vitess clustering technology. |
| features.capabilities | `{"schema":"schemaless","hosting":"both","data_model":"document","ttl_expiry":true,"consistency":"tunable","replication":"primary_secondary","sql_support":true,"multi_region":true,"partitioning":"automatic","transactions":"multi_item_acid","license_class":"source_available","managed_cloud":true,"vector_search":true,"change_streams":true,"query_language":"mql","full_text_search":true,"acid_transactions":true,"secondary_indexes":"yes","horizontal_scaling":true}` | `{"sql_model":"full_sql","data_model":"relational","deployment":"managed","sql_support":true,"extensibility":true,"license_class":"proprietary","managed_cloud":true,"horizontal_scale":"sharded","automatic_failover":true,"horizontal_scaling":true}` |
| integrations.count | 6 | 2 |
| integrations.list | `[{"name":"Vertex AI"},{"name":"BigQuery"},{"name":"Datastream"},{"name":"Google Kubernetes Engine"},{"name":"Looker"},{"name":"Apigee"},{"name":"Apache Kafka"},{"name":"Google Vertex AI","native":true,"category":"ai","direction":"bidirectional"},{"name":"Google Cloud BigQuery","native":true,"category":"analytics","direction":"bidirectional"},{"name":"Google Cloud Datastream","native":true,"category":"data_integration","direction":"inbound"},{"name":"Google Cloud Functions","native":true,"category":"compute"},{"name":"Kubernetes","native":true,"category":"orchestration"}]` | `[{"name":"Vantage"},{"name":"Netlify","native":true,"category":"deployment","direction":"bidirectional"},{"name":"Debezium","native":false,"category":"data_integration","direction":"outbound"},{"name":"Cursor","native":true,"category":"development_tools","direction":"outbound"},{"name":"Codex","native":true}]` |
| language.primary | C++ | - |
| license.spdx | SSPL-1.0 | - |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"subscription","plans":[{"free":true,"name":"M0","summary":"Free tier","features":["512 MB storage","32 MB sort memory","100 operations per second","shared vCPU","replica set deployments"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Free tier with shared vCPUs for learning and small non-production workloads","contactSales":false,"includedLimits":{"storage":"512 MB","sort_memory":"32 MB","operations_per_second":"100"}},{"free":false,"name":"Flex Clusters","summary":"$8 to $30 per month based on usage","description":"Pay-as-you-go pricing with hourly billing","contactSales":false},{"free":false,"name":"Dedicated Clusters","summary":"Starting at $25/month through $56.94/month for higher tiers","features":["dedicated vCPUs","replica sets and sharded clusters","auto-scaling","fully featured Atlas access"],"components":[{"kind":"fixed","amount":25,"period":"month","currency":"USD"}],"description":"Production clusters with dedicated vCPUs and auto-scaling for performance-critical workloads","contactSales":false}],"addOns":[{"name":"Atlas SQL Interface","components":[{"per":{"qty":1,"unit":"TB"},"kind":"metered","amount":5,"currency":"USD"}]},{"name":"MongoDB Search and Vector Search"}],"summary":"Free M0 tier; flex clusters from $8/month; dedicated clusters from $25/month","currency":"USD","freeTier":true,"sourceUrl":"https://www.mongodb.com/pricing","retrievedAt":"2026-09-07T13:09:29.678Z","startingPrice":{"amount":25,"period":"month","currency":"USD"},"billingPeriods":["month","year"]}` | `{"type":"subscription","plans":[{"free":false,"name":"Postgres","summary":"$5/month","commitment":"monthly","components":[{"kind":"fixed","amount":5,"period":"month","currency":"USD"}],"contactSales":false}],"addOns":[{"name":"Additional Development Branch","components":[{"kind":"fixed","amount":10,"period":"month","currency":"USD"}]}],"summary":"From $5/month for PostgreSQL. Instance-based pricing for Vitess plans.","currency":"USD","freeTier":false,"sourceUrl":"https://planetscale.com/blog/amazon-aurora-pricing-the-many-surprising-costs-of-running-an-aurora-database","retrievedAt":"2026-09-03T17:54:10.279Z","startingPrice":{"amount":5,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | no |
| pricing.model | freemium | commercial |
| pricing.price_level | mid | low |
| pricing.starting_price | `{"amount":25,"currency":"USD"}` | `{"amount":5,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 30 | - |
| reliability.sla_pct | 99.99 | 99.99 |
| reliability.status_page | yes | yes |
| security.certifications | `[{"name":"SOC 2","status":"active"},{"name":"ISO/IEC 27001:2022","status":"active"},{"name":"ISO/IEC 27017:2015","status":"active"},{"name":"ISO/IEC 27018:2019","status":"active"},{"name":"ISO 9001:2015","status":"active"},{"name":"PCI DSS","status":"active"},{"name":"HIPAA","status":"active"},{"name":"HITRUST","status":"active"},{"name":"CSA STAR","status":"active"},{"name":"FedRAMP Moderate","level":"Moderate","status":"active"},{"name":"IRAP","status":"active"},{"name":"TX-RAMP","status":"active"},{"name":"TISAX","status":"active"},{"name":"HDS","status":"active"},{"name":"ENS","status":"active"},{"name":"ANC QC2","status":"active"}]` | - |
| security.disclosure_policy | yes | yes |
| security.fedramp | yes | - |
| security.gdpr | yes | yes |
| security.hipaa | yes | yes |
| security.iso27001 | yes | - |
| security.pci | yes | yes |
| security.scorecard | 4.7 | - |
| security.soc2 | yes | yes |
| security.trust_center | https://www.mongodb.com/products/platform/trust | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=conda&package_name=mongodb&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Databases)

| Capability | MongoDB | PlanetScale |
|---|:--:|:--:|
| **Core** |  |  |
| Data model | Document | Relational |
| ACID transactions | ✓ | - |
| SQL support | ✓ | ✓ |
| **Scale** |  |  |
| Horizontal scaling / sharding | ✓ | ✓ |
| Replication | - | - |
| **Query** |  |  |
| Full-text search | ✓ | - |
| Vector search | ✓ | - |
| **Deployment** |  |  |
| Managed cloud offering | ✓ | ✓ |
| Hosting | Cloud + self-hosted | - |

*Source: vioscaleAI. Generated 2026-09-21T02:31:47.029Z. "-" = undocumented, not absent.*