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KeewanoDB Cloud · Managed & Distributed

Run KeewanoDB at Scale

Everything that makes KeewanoDB fast and complete runs for you across the nodes the workload requires.

Agents, applications, and analytics tools connect through one managed endpoint while Keewano operates the cluster.

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Setup wizard installs KeewanoDB for you
keewano/setup
How It Scales

One Logical Database Across a Distributed Cluster

Agents and tools connect through one managed endpoint. Behind it, the control plane distributes storage and query workloads across a replicated fleet of KeewanoDB shards, adding capacity as demand changes. Each entity’s complete event sequence remains together and in order as the database scales. The sequence stays directly readable across the cluster.

AI Agents
Apps
BI Tools
Pipelines
Managed Endpoint
MCP
REST
Kafka
Parquet
one connection, autoscaled behind it
Control plane
Autoscaling
Governance
Backups & Replication
Storage Engine
Query Engine
Context Engine
auto-scale
region

What Cloud Manages
For You

Scale and Elasticity

Add Capacity as the Workload Grows

KeewanoDB Cloud distributes storage and query demand across the cluster and adds capacity as event volume and usage increase.

Your event model, queries, and applications continue working without a migration or rewrite.

Managed Operations

Run KeewanoDB Without Managing the Cluster

Keewano handles deployment, scaling, replication, backups, monitoring, and infrastructure maintenance.

Your team can focus on the workload, the questions, and the applications built on top of the database.

Interfaces

Connect Through Standard Interfaces

Agents connect through MCP. Applications and data infrastructure connect through REST, Kafka, and Parquet.

Supported analytics tools can query the same underlying event record without maintaining another copy of the data.

mcp server logorest api logokafka logoparquet logolooker logoslack logo
Explore and Compute in Place

Run Analysis Beside the Event Record

Query Studio gives analysts a managed environment for exploring event data, building reports, and working with pivots.

Custom logic can run inside the database, close to the complete event sequence. This reduces exports and avoids moving large event records into another compute system before analysis can begin.

Structure and Semantics

Give Every Team the Same Event Definitions

Create separate databases and projects for different teams, environments, and applications.

A semantic event catalog adds shared definitions and business meaning on top of the raw events per project. Agents and analysts can query the same concepts without redefining them for every query.

Security and Governance

Control How Production Data Is Queried

Agents can work across far more data and issue far more queries than a human analytics team. KeewanoDB Cloud provides controls for managing that access and keeping database activity visible.

Access Control

Define which users, services, and agents can access each database and project.

Workload Isolation

Separate teams, environments, and applications within KeewanoDB Cloud.

Query and System Monitoring

Monitor ingestion, query activity, resource use, and the cost of agent-driven workloads.

Replication and Recovery

Cloud manages replication and backups across the cluster to support production availability and recovery.

Enterprise and Design Partners

Custom SLAs, deployment options, security reviews, and volume terms are available for teams running KeewanoDB Cloud in production.

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Build on KeewanoDB at Scale

Scale complete event sequences across growing workloads without managing the underlying infrastructure.