Knowi vs Metabase: Best Embedded Analytics for SaaS with NoSQL Data?
Metabase makes it easy to build dashboards on SQL databases. Knowi natively queries NoSQL, supports cross-source joins, and bundles Private AI with embedded analytics.
AT A GLANCE
Things to Know Before You Decide
Metabase cannot join data across different databases. Knowi joins MongoDB + PostgreSQL + Elasticsearch + REST APIs in a single query without data movement.
Metabase has no connectors for Elasticsearch or Cassandra. Knowi natively connects to both.
Metabase's row-level security works on SQL databases only and does not support MongoDB. Knowi provides row-level security across all connected sources including NoSQL.
Metabase's open source edition carries a permanent "Powered by Metabase" watermark that cannot legally be removed. Full white-label requires Pro or Enterprise.
Metabase's AI (Metabot) is cloud-only, English-only, limited to single-level aggregation and 100 tables. Knowi's AI runs privately inside your deployment.
SIDE BY SIDE
Knowi vs Metabase at a Glance
| Capability | Knowi | Metabase |
|---|---|---|
| MongoDB | Native connector, full nested doc support at any depth | Driver present but schema from first 200 rows only. Deep nesting causes failures. |
| Elasticsearch | Native connector with live querying | No official support |
| Cassandra | Native connector with live querying | No official support |
| Cross-Source Joins | Join any SQL, NoSQL, and REST API sources in a single query | Not supported. Single-database queries only. |
| Nested JSON | Native support at any depth, no flattening | 200-row schema scan. Naming conflicts and deep nesting cause errors. |
| Row-Level Security | All sources incl. MongoDB, Elasticsearch, REST | SQL databases only. No MongoDB. Max 5 rules/table. |
| White-Label Embed | Full white-label, 3 embed methods, AI embeddable | OSS: permanent watermark. SDK: React-only, Pro/Enterprise. |
| AI / NLQ | Private AI, NLQ on all sources, Document AI | Metabot: cloud-only, English-only, 100-table cap |
| Multi-Tenancy | Built-in architecture with RLS on all sources | RLS SQL-only, or separate instances (3x infra cost) |
| Deployment | Cloud (SOC2), on-prem (Docker/K8s), hybrid | Cloud, self-hosted OSS/Pro/Enterprise |
BEST FIT
Who Should Choose Knowi
- SaaS embedded analytics at scale: Embed analytics for hundreds of customers with per-tenant data isolation, white-label branding, and no per-user pricing that scales with growth.
- MongoDB or Elasticsearch as primary data stores: Your application data lives in NoSQL databases and you need analytics that query it directly, not through a 200-row schema scan.
- Cross-source analytics: A single dashboard needs data from MongoDB, PostgreSQL, and a REST API joined together. Knowi does this without building a data warehouse.
- Private AI for regulated industries: Compliance requirements prohibit sending data to cloud AI services. Knowi's AI runs entirely in your environment.
- Document analysis: Users need to query PDFs, contracts, or regulatory filings alongside structured data. Document AI with source attribution.
- MongoDB row-level security: RLS on MongoDB data for multi-tenant analytics. Metabase's RLS doesn't work with MongoDB. Knowi's does.
HOW CLIENTS SUCCEED WITH KNOWI
Who's Using Knowi
Retirement Planning Software
Workflow Automation SaaS
Moved off GoodData because it couldn’t natively connect to MongoDB. With Knowi, they embed a self-service dashboard builder directly in their platform, no ETL, full white-label, dark mode CSS support.
3PL Shipping Logistics Company
3PL & Freight
Embeds shipment metrics directly into their customer portal. Customers see real-time visibility into deliveries and logistics KPIs, powered by MySQL with no additional data infrastructure.
Frequently Asked Questions
Is Metabase really free?
Can Metabase connect to Elasticsearch or Cassandra?
Can Metabase join data from different databases?
Does Metabase support row-level security on MongoDB?
How does Metabase's AI compare to Knowi's?
What happens to Metabase pricing as embedded users grow?
See How Knowi Handles MongoDB Without the 200-Row Schema Limit
Native NoSQL querying, real multi-tenancy, and Private AI - without per-user pricing that scales with your customer base.
See How Knowi Handles MongoDB Without the 200-Row Schema Limit
Native NoSQL querying, real multi-tenancy, and Private AI, without per-user pricing that scales with your customer base.
Led by a solutions engineer, not a sales rep
- What you'll see in the demo
- Live demo tailored to your data stack and use case
- Native MongoDB, Elasticsearch, and REST API connectivity
- AI agents querying your data and building dashboards in plain English
- How teams embed analytics into their own products
- Pricing and deployment options (cloud or on-prem)
“My team tested various data visualization tools like PowerBI, Domo, Sisense and Knowi emerged as the top choice for its speed in creating useful dashboards and ease of use for non-technical users. Knowi's architecture models data thoughtfully, which I'd credit for enabling a collection of elegant features.”
VP Business Intelligence, MacroFab
See How Knowi Handles MongoDB Without the 200-Row Schema Limit
Native NoSQL querying, real multi-tenancy, and Private AI, without per-user pricing that scales with your customer base.
- Live demo tailored to your data stack and use case
- See native MongoDB, Elasticsearch, and REST API connectivity
- Watch AI agents query your data and build dashboards in plain English
- Learn how teams embed analytics into their own products
- Get pricing and deployment options (cloud or on-prem)
Phil Bryant
VP Business Intelligence, MacroFab
