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monday DB 3.0
The engine behind people and agent collaboration
A live data foundation built to scale with you business, so teams and agents always work from the same real time context.
Joanna · reviewing top 20 prospects
Agent · qualifying 20K leads
Agent · sourcing 9,300 leads
Claude · Exporting 1M items to Tableau
Ethan · approving 12 ad creatives
Agent · scheduling 120 campaign posts
Gemini · analyzing 76k support tickets
Agent · resolving 5,000 tickets
Jessica · querying 20K tables
Agent · screening 1,600 applicants
Jacob · onboarding 5 new hires
Co-pilot · summarizing 300 interviews
The context agents need to become real teammates
Your entire organizational knowledge
Items, updates, docs, files, and integrations, all in one live engine.
Full context, always updated
Ground every decision people and agents make in live and complete business context.
Secured and governed
Control what each agent and person can see and act on.
Built for the volume AI work demands
mondayDB adapts to your most complex workflows as you scale, so your business moves as fast as it grows.
Live
10M
Items per data set
Hold millions of records in a single data set, so context stays together instead of splitting across spaces.
Beta
5K
Projects per portfolio
Track complex portfolios with ownership, status, and history connected.
Coming Q3
5M
Items per report
See high-volume work in live reports, without waiting on exports.
Live
100X
Greater data ceiling
Hold far more operational data as work and AI scale.
Coming Q3
25%
Faster large-board loads
Load large boards and dashboards faster, with context ready to act on.
Live
10X
Faster import and export
Move high-volume data faster as teams and agents generate more work.
60%
Of Fortune 500 use monday
Trusted for complex enterprise work across permissions, reporting, and governance.
250K
Companies worldwide
The data layer supporting a large global work graph.
Plan availability may vary. Forward-looking targets are shown only as roadmap direction.
Flexible work needs a purpose-built data engine
The new data infrastructure behind our AI work platform, designed to drive your best work.
01
Infrastructure
Structured for performance
Enjoy improved speed across billions of boards that support your growth with optimized structures. With separate storage and compute layers, each can do what it does best – giving you unparalleled resource flexibility.
02
Infrastructure
Elastic at scale
With a schemaless architecture that can store, retrieve, and query any data type, mondayDB supports your unique needs and adapts to the way you work best as you continue to add users, data tables, and query volume.
03
Data management
Complex queries in the blink of an eye
Data from boards is stored in both row and columnar databases. mondayDB can select on which to run queries based on the required manipulation, resulting in a high throughput of queries and low latency on any combination of tables.
04
Business logic
Real time, all of the time
Throughout any board or dashboard, changes are immediately available for queries whenever they are made, allowing for automations and integrations to be activated in real time.
05
Business logic & APIs
Build any software for any workflow
Taking the monday.com open API to a whole new level — multi-level mirror linkage, filters, aggregations, and formula calculations will now be supported. This allows developers to build any app, solution, or software they need on top of the monday.com platform.
Enterprise-grade, from the data layer up
Enterprise-grade security
Built on monday.com’s trusted security standards so it’s safe for sensitive work at scale.
Trust built in
Security, compliance, audit trails, and data residency come standard, so IT can adopt with confidence.
Low risk to adopt
mondayDB 3.0 reaches your account without a rebuild, so teams keep working while the foundation scales.
A vendor you can commit to
Built in-house and trusted across enterprise work, so this is a long-term bet you can defend.
Run work fromone live business foundation
Built for people
and agents
Built for people
and agents
