CIOPages
For vendorsCorrections to your listing are free
Fix an error, free List a company, free Order a Spotlight listingAbout Spotlight listings
DirectoryData & AnalyticsDatabase PlatformsDirectus

Directus

Open Source

About Directus

Directus provides a backend that connects to a database and gives teams instant APIs, a no-code interface, and a native MCP server. The product can be self-hosted on a company's own infrastructure or deployed to Directus Cloud. It generates REST and GraphQL APIs automatically from a connected database without altering the schema. AI models and agents can be connected directly to the backend under the same access policies that govern human users. It includes a no-code admin interface with features intended for end-users.

Products

  • AI Assistant: A conversational AI embedded in the Studio that writes, translates, creates records, and routes content for review.
  • Native MCP Server: Connects tools such as Claude Desktop, Cursor, or ChatGPT directly to a Directus backend.
  • Digital Asset Manager: Uploads, organizes, and transforms files, with images available on demand and CDN-ready delivery.
  • Realtime & WebSockets: Allows subscribing to any collection to get live updates for building collaborative apps or dashboards.
  • Visual Editing & Live Preview: Lets editors see changes in the actual app as they type, configurable per collection.

Used for

  • Building websites and apps from a connected database
  • Editing content without filing a ticket
  • Governing data access across teams and agents
  • Connecting AI directly to live data
  • Replacing spreadsheets with structured data

Who it is for

  • Developers who build data models and connect tools via MCP
  • Operations roles managing assets and metadata
  • Organizations under $5M in annual revenue and fewer than 50 employees qualifying for the Open Innovation Grant

From Directus's own website, read 2026-10-23. How we build listings.

How to evaluate Database Platforms

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Directus. It comes from our Enterprise Database Platforms buyer guide.

25%
Data Model & Query Fit
Match of the engine to the workload: relational integrity and joins, document/JSON flexibility, key-value latency; transaction isolation levels and ACID guarantees; SQL standard coverage and dialect quirks; secondary indexes, full-text and vector (pgvector / Atlas Search) support; foreign keys and referential integrity where you need them
20%
Consistency, Scale & HA
Single-primary vs. multi-writer; synchronous vs. async replication and resulting RPO; read-replica and sharding story; horizontal write scale and global/multi-region behavior (strong vs. eventual consistency); failover time, achievable RTO, and how partitions are handled under load
20%
Operability & Managed-Service Experience
Quality of the managed offering (RDS/Aurora, Azure SQL, Cloud SQL/AlloyDB) vs. self-managed burden; in-place and major-version upgrade path; backup/PITR, observability, and connection pooling; autoscaling and serverless options; day-2 toil — vacuum/compaction, index bloat, rebalancing — and the depth of the DBA skills it demands
15%
Licensing & Portability
License class and its real constraints: OSI open source (PostgreSQL, MySQL, Valkey, Redis 8 AGPL) vs. source-available (MongoDB SSPL, CockroachDB enterprise/BSL) vs. proprietary (Oracle, SQL Server); cloud lock-in of proprietary engines (Aurora, Spanner, DynamoDB); wire-protocol and SQL-dialect compatibility that preserves an exit; audit exposure on proprietary metrics
12%
Security & Compliance
Encryption at rest and in transit, TLS enforcement, and key management (BYOK/HSM); row- and column-level security and fine-grained RBAC; field-level / queryable encryption for sensitive data; audit logging; data-residency controls and certifications (SOC 2, ISO 27001, HIPAA, PCI, FedRAMP) on the managed service
8%
Ecosystem & Talent
Driver and ORM maturity across your languages; migration and CDC tooling (logical replication, Debezium, DMS); breadth of extensions and integrations; size and hireability of the talent pool; quality of docs and the support path — first-party vendor vs. third-party (EDB, Percona, Crunchy) for open engines

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

directus.io Pricing page
CategoryData & Analytics
SubcategoryDatabase Platforms
DeploymentSelf-hosted, Cloud

We publish a detail only when we can point at the page it came from. Know when Directus was founded or where it is based? Send it to us, free.

Keep reading

Buyer Guide
Real-Time Analytics Databases
Job 02
Govern the AI already in use

Staff already use AI tools nobody approved, and most SaaS products now ship AI features by default.

RFP questions
The RFP question bank

Vendor questions by category, from security to commercial terms.