Connect to Any Data Source.
No ETL Required.
Knowi natively integrates with 70+ databases, APIs, and cloud services. Query your data where it lives, join across sources, and visualize, all without moving data to a warehouse.
No Data Movement
Query databases directly. No staging tables, no ETL jobs, no warehouse dependency. Your data stays where it is.
Cross-Source Joins
Join MongoDB with Snowflake. Merge Elasticsearch with REST APIs. Combine any sources in a single query at runtime.
Native Protocols
Each connector speaks the database's own language, MongoDB aggregation, Elasticsearch DSL, SQL dialects. No ODBC wrappers.
70+ native connectors
A selection of the databases, APIs, and file sources Knowi connects to directly.
Elasticsearch
MongoDB
Cassandra
Couchbase
Hbase Phoenix
Datastax
InfluxDB
OpenSearch
MarkLogic
Astra
Cloudant
DataWorld
Amazon DocumentDB
MySQL
SQL Server
Oracle
Redshift
BigQuery
Snowflake
PostgreSQL
Teradata
Trino
Databricks
Rest APIs
Salesforce
Spark
Google Analytics
Stripe
NetSuite
Shopify
Klaviyo
Jira
Airtable
Quickbooks
Google Sheets
MS Excel
CSV
File UploadHow Knowi Connects to Your Data
Pick Your Source
Select from 70+ native connectors. Enter your connection credentials, host, port, auth. No drivers to install.
Query Natively
Write queries in each database's native language. MongoDB aggregation pipelines, Elasticsearch DSL, SQL, not a proprietary abstraction layer.
Visualize & Share
Results flow into 40+ chart types. Build dashboards, set alerts, embed in your product, or let AI surface insights automatically.
Join Any Source with Any Source
Most BI tools force you to move everything into one warehouse before you can join. Knowi joins at query time, across completely different database types. MongoDB + PostgreSQL. Elasticsearch + REST API. Any combination.
Connecting data sources: direct answers
Straight answers to the questions people ask before they pick a connector.
How do you connect a NoSQL database without a native ETL connector?
You point Knowi at the database and query it in its own language. Knowi speaks each NoSQL engine's native protocol, so there is no ETL job to build, no ODBC driver, and no JDBC bridge to install or maintain.
Setup is host, port, and credentials. You then write MongoDB aggregation pipelines or Elasticsearch DSL directly instead of translating them into SQL first. The NoSQL and semi-structured sources listed on this page include MongoDB, MongoDB Atlas, Amazon DocumentDB, Elasticsearch, OpenSearch, Cassandra, DataStax Enterprise, DataStax Astra, Couchbase, Cloudant, MarkLogic, HBase with Phoenix, and InfluxDB. Results from any of them can be combined with SQL sources in the same dataset.
Can you join data across two databases without a data warehouse?
Yes. Knowi runs a separate query against each source, then joins the returned result sets at query time into one dataset. Nothing is copied into a warehouse first.
One dataset can combine MongoDB user profiles, Stripe charges, and Shopify orders even though those three sources have different query languages and different schemas. Each source is queried natively and the join happens after the results come back, so adding a fourth source means writing one more query rather than building one more pipeline. If you already run Snowflake, BigQuery, or Redshift, it takes part in the same join as one source among several. See how a SQL and NoSQL join is built.
Can Knowi connect to an on-premises database without a gateway appliance?
Yes. Knowi reaches on-premises databases over the database's own protocol through an SSL or SSH tunnel, or over VPN peering, with IP allowlisting restricting who can reach the port. There is no vendor gateway appliance sitting in the path.
For networks that cannot expose a database port at all, Knowi itself is deployed inside your infrastructure with Docker or Kubernetes, either in your own cloud VPC or fully on-premises, so no inbound path to an external service is required. File based sources behind the firewall are read by the Cloud9Agent, which runs inside your network. Credentials and cached results are encrypted at rest with AES-256, and traffic in transit uses TLS 1.2 or later.
Can one workflow query a cloud warehouse, cloud file storage, and a NoSQL source together?
Yes. A single Knowi dataset can pull from a cloud warehouse, from files held in cloud storage, and from a NoSQL database, then join the three results without custom integration code.
Warehouse and relational sources on this page include Snowflake, BigQuery, Redshift, Teradata, PostgreSQL, MySQL, SQL Server, and Oracle. File sources cover CSV, JSON, XML, logs, and Excel, collected over S3, FTP, HTTP, or email. NoSQL sources include MongoDB, Elasticsearch, Cassandra, and Couchbase. Each connector is configured with credentials rather than coded, and each source is queried in its own language, so the only thing you write is the query itself.
Does Knowi have native connectors for SaaS tools like Shopify and Stripe?
Yes. Shopify connects through OAuth, and Stripe connects directly to the Stripe REST API, so neither one needs a third party ETL tool sitting in between.
The Stripe connector pulls charges, customers, subscriptions, invoices, payouts, and balance transactions, and handles cursor based pagination automatically so every record is fetched. Other SaaS connectors listed on this page include Salesforce, NetSuite, Klaviyo, Jira, Airtable, QuickBooks, and Google Analytics. Because these behave like any other source, you can join Stripe charges with Shopify orders and a product catalog held in PostgreSQL inside one dataset, then chart the result.
Frequently Asked Questions
Do I need to install ODBC drivers or connectors?
Can I connect to a data source behind a firewall?
Do I need a data warehouse to use Knowi?
How do cross-source joins work?
Can I connect to a REST API that requires authentication?
What if my data source isn't listed?
Connect Your Data in Minutes
No warehouse. No ETL. No drivers. Just your data, visualized.
Connect to Any Data Source.
No ETL Required.
Knowi natively integrates with 40+ databases, APIs, and cloud services. Query your data where it lives, join across sources, and visualize, all without moving data to a warehouse.
No Data Movement
Query databases directly. No staging tables, no ETL jobs, no warehouse dependency. Your data stays where it is.
Cross-Source Joins
Join MongoDB with Snowflake. Merge Elasticsearch with REST APIs. Combine any sources in a single query at runtime.
Native Protocols
Each connector speaks the database's own language — MongoDB aggregation, Elasticsearch DSL, SQL dialects. No ODBC wrappers.
Unstructured + Semi-Structured Datasources
Structured Datasources
APIs & Cloud Services
Files & Documents
How Knowi Connects to Your Data
Pick Your Source
Select from 40+ native connectors. Enter your connection credentials host, port, auth. No drivers to install.
Query Natively
Write queries in each database's native language. MongoDB aggregation pipelines, Elasticsearch DSL, SQL, not a proprietary abstraction layer.
Visualize & Share
Results flow into 40+ chart types. Build dashboards, set alerts, embed in your product, or let AI surface insights automatically.
Join Any Source with Any Source
Most BI tools force you to move everything into one warehouse before you can join. Knowi joins at query time - across completely different database types. MongoDB + PostgreSQL. Elasticsearch + REST API. Any combination.
Learn How Joins WorkFrequently Asked Questions
Do I need to install ODBC drivers or connectors?
Can I connect to a data source behind a firewall?
Do I need a data warehouse to use Knowi?
How do cross-source joins work?
Can I connect to a REST API that requires authentication?
What if my data source isn't listed?
Connect Your Data in Minutes
No warehouse. No ETL. No drivers. Just your data, visualized.