Firestore vs MarkLogic
Firestore
cloud.google.com
MarkLogic
progress.comSide by side
| Figure | Firestore | MarkLogic |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 9 | 5 |
| Spec score · Database Software | 9.2 (#4) | 8.8 (#16) |
| Spec score · NoSQL Databases | 8.9 (#8) | 8.5 (#10) |
| Compliance | Google Cloud states that Firestore is covered by its ISO/IEC 27017 certification scope. | The security page says MarkLogic complies with GDPR and describes Common Criteria and STIG evaluations or deployments. |
| Documentation depth | The documentation set includes developer guides, API references, source repositories, issue trackers, Stack Overflow links, samples, and library integrations. | Installation documentation links to concepts, administration, application development, search, JavaScript, XQuery and release-note guides. |
| Free plan | Yes | No |
| Integrations | The product page names Google AI Studio, remote MCP, LangChain, and LlamaIndex integrations for building generative AI applications. | Official connectors are provided for MuleSoft, Apache NiFi, ODBC and Pega, with NiFi integration using the Java Client API and DMSDK. |
| Product | Firestore is a fully managed, serverless document database for building AI, web, and mobile applications. | MarkLogic is a semantic data platform built around a multi-model database and semantic AI technology. |
| Rating on G2 | 4.2 out of 5 from 97 reviews. | 4.3 out of 5 from 65 reviews |
| Rating on Gartner Peer Insights | 4.0 out of 5 from 6 ratings. | 4.5 out of 5 from 143 reviews |
| Rating on TrustRadius | 10 out of 10 for a Firebase review that specifically uses Firestore. | 9 out of 10 from 18 reviews |
| Security | Firestore integrates with Cloud IAM, Cloud Identity Platform, and Firebase Authentication for identity-based access controls and data validation. | MarkLogic describes its security as secure by default and lists role-based access controls, element or property-level security, built-in auditing, and AES-256 encryption at rest. |
| Vector search | Yes | MarkLogic 12 adds native approximate-nearest-neighbor vector indexing, cosine similarity and hybrid vector, text, graph and geospatial queries. |
| What it does | Firestore is a fully managed, scalable JSON document database for mobile, web, and server applications. | MarkLogic Server is a unified enterprise data platform for storing, integrating, searching and analyzing complex data. |
Plans
Firestore
- Standard edition — document readsPrice not published
- Standard edition — document writesPrice not published
- Standard edition — document deletesPrice not published
- Standard edition — stored dataPrice not published
- Free quotaFree
- Free quotaFree
- Standard edition pay-as-you-go$0.03 a month
- Enterprise editionPrice not published
- Standard editionPrice not published
MarkLogic
- DeveloperFree
- Bring-Your-Own LicensePriced on request
- EnterprisePriced on request
- Managed SaaSPriced on request
- Progress Data PlatformPriced on request
In their own words
Firestore
Firestore is a fully managed, serverless document database for building AI, web, and mobile applications. It stores flexible JSON data and supports vector search, full-text search, geospatial queries, and ACID transactions on JSON or BSON-compatible documents. Client SDKs for Android, iOS, and web provide real-time updates and automatic syncing for offline access. Firestore can replicate data across multiple regions with strong consistency; multi-region deployments have a stated 99.999% SLA-backed availability. Integrations named for generative AI application work include Google AI Studio, remote MCP, LangChain, and LlamaIndex. Identity controls connect with Cloud IAM, Cloud Identity Platform, and Firebase Authentication. Data is encrypted before it is written to disk, with customer-managed keys available through Cloud KMS. The free quota applies to one database per project and includes 1 GiB of storage, daily read, write, and delete allowances, and 10 GiB monthly outbound transfer. New customers receive $300 in credits, separate from that quota. Server client libraries bypass Firestore Security Rules, so server access needs IAM controls.
MarkLogic
MarkLogic is a semantic data platform built around a multi-model database and semantic AI technology. MarkLogic Server handles document, semantic graph, and geospatial data natively, and provides relational views for SQL analytics. Built-in search indexes information immediately and applies relevancy scoring. MarkLogic Data Hub ingests information from sources, indexes it for querying and search, then curates it through harmonization, mastering, and enrichment. The platform can run on premises, in virtualized environments, public cloud, or hybrid environments; managed hosting for Server and Data Hub includes installation, upgrades, backups, monitoring, and user management. Security capabilities include role-based controls, element- or property-level security, auditing, and AES-256 encryption at rest, with LDAP, Kerberos, and SAML authentication integration. It supports high availability, horizontal scaling, disaster recovery, rollbacks, and point-in-time recovery. The Developer edition permits up to 1TB of data for noncommercial use, while enterprise storage is listed as unlimited. A free plan and free trial are available, but no plan prices are listed.