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Keewano
Database and analytics stack for machine reasoning over complete event sequences, delivering grounded answers via MCP, SQL, REST, and analytics tools.
$2Starting price
4.8KMonthly visits
11Popularity
About Keewano
Keewano is a database and analytics stack designed for machine reasoning over complete event sequences. It stores each entity’s chronologically ordered events contiguously, preserving full resolution and enabling direct sequence scans instead of expensive reconstructions. The platform layers business semantics on top of raw event data, allowing analysts or agents to query business concepts through an integrated semantic layer. Keewano executes reports, similarity searches, and custom logic near the data, returning inspectable results via MCP for agents, SQL, REST APIs, and connected BI tools. It supports local deployments for evaluation and edge use, as well as managed cloud deployments for high-volume, multi-tenant, or production-critical workloads. Teams can ingest events from sources like Kafka, Postgres, Snowflake, BigQuery, and Parquet or Iceberg lakes without disrupting existing pipelines. The system is ideal for engineering teams building agentic systems, product analytics groups, risk and operations teams, and data engineers maintaining event-heavy stacks. It powers LLM agents with grounded context, enables exploration of outcome drivers, and supports durable dashboards without rigid schema modeling. Answers remain traceable to underlying events for auditability and debugging, ensuring explainability across workflows.
Key features
- Stores each entity’s complete, ordered event sequence contiguously for low-latency scanning
- Integrated semantic layer maps raw fields to shared business concepts
- Supports point-and-click reporting, comparisons, and monitoring via Keewano Analytics
- Ingests events from Kafka, Postgres, Snowflake, BigQuery, and Parquet/Iceberg sources
- Serves answers through MCP for agents, plus SQL, REST APIs, and BI tools
- Local deployment for evaluation and edge use; managed cloud for production scale
- Enables direct sequence scans instead of expensive reconstructions
- Answers remain traceable to underlying events for auditability and debugging
- Runs reports, similarity search, and custom logic near the data
- Retains existing pipelines and warehouses while adding a purpose-built sequence store
Use cases
- Power LLM agents with grounded context by routing questions through complete event records
- Explore churn drivers or fraud patterns via lookalike sequence comparisons
- Speed investigations with contiguous reads and near-data processing for analytics teams
Frequently asked questions about Keewano
What is Keewano and what does it do?
Keewano is a database designed for machine reasoning over complete event sequences, storing each entity’s events contiguously and in order. It enables direct sequence scans, preserves full resolution, and layers business semantics on raw event data for querying through an integrated semantic layer.
Who should use Keewano?
Keewano suits engineering teams building agentic systems, product analytics groups, risk and operations teams, and data engineers maintaining event-heavy stacks. It is also useful for teams needing grounded context for LLM agents and durable dashboards without rigid schema modeling.
How does Keewano handle data ingestion?
Keewano ingests raw events from sources like Kafka, Postgres, Snowflake, BigQuery, and Parquet or Iceberg lakes without disrupting existing pipelines. It runs alongside existing stacks, keeping raw events intact and agent-ready.
What interfaces does Keewano support for accessing results?
Keewano returns inspectable results through MCP for agents, SQL, REST APIs, and connected BI tools like Tableau and Looker. Answers remain traceable to underlying events for auditability and debugging.
Can Keewano be deployed locally or only in the cloud?
Keewano supports both local deployments for evaluation and edge use, as well as managed cloud deployments for high-volume, multi-tenant, or production-critical workloads. Local deployments run the complete KeewanoDB engine on one machine.
How does Keewano improve query performance and cost?
Keewano stores sequences contiguously and in order, enabling direct scans and SIMD/GPU acceleration for low latency at scale. This reduces latency and data movement costs by keeping answers grounded in the full record and running logic close to the data.
Keewano traffic & engagement
keewano.com · third-party estimates from Similarweb
Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 20260+23.4% MoM12-month high 6.3K (Jul 2026)
Rank among AI websites#5,239▲ 197 vs last monthof 8,384 tools on Aitoolnavio
Top marketIsrael47.2%Top 4 countries bring 100% of visits
Average visit0sLonger than 72% of AI sites
Pages per visit0More than 74% of AI sites
Bounce rate0%Leave after one page · lower is better
Similarweb global rank#3,154,487#1,746,122 in United States
Traffic trend
Last 4 months · grows by one month every month
- Jun 20264K
- Jul 20266.3K+58.7%
- Aug 20263.9K−38.6%
- Sep 20264.8K+23.4%
Where visitors come from
Share of visits by channel
No measurable traffic from Social, Paid Referrals or Search.
Top countries
Share of visits · estimated visits
Compared with similar tools
Automation & Agents · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.
