Assets, not just rows
Each connector yields assets with source metadata attached (owner, path, timestamps), so a finding always carries where it came from.
Assets & metadata →Sources
Scan the systemsyou already own.
39 connectors across databases, warehouses and lakehouses, streaming, object storage, collaboration tools, analytics, and public content, all feeding one evidence stream.
39 connectors · straight from the schemaCustom Connector
Sandbox
WordPress
Slack
S3-Compatible Storage
Azure Blob Storage
Google Cloud Storage
PostgreSQL
MySQL
Microsoft SQL Server
Oracle
Apache Hive
Databricks
Snowflake
Dremio
MongoDB
Neo4j
Power BI
Tableau
Confluence
Jira
Jira Service Management
SQLite
Notion
Email
YouTube
Reddit
Delta Lake
Apache Iceberg
Apache Kafka
Elasticsearch
OpenSearch
Meilisearch
Mounted Folder
Microsoft 365
Google Workspace
Dropbox
Hugging Face
Git Repository
Custom Connector
Sandbox
WordPress
Slack
S3-Compatible Storage
Azure Blob Storage
Google Cloud Storage
PostgreSQL
MySQL
Microsoft SQL Server
Oracle
Apache Hive
Databricks
Snowflake
Dremio
MongoDB
Neo4j
Power BI
Tableau
Confluence
Jira
Jira Service Management
SQLite
Notion
Email
YouTube
Reddit
Delta Lake
Apache Iceberg
Apache Kafka
Elasticsearch
OpenSearch
Meilisearch
Mounted Folder
Microsoft 365
Google Workspace
Dropbox
Hugging Face
Git Repository
Full catalog
All 39 connectors
Search by name, category, or capability. Every entry links to its configuration reference on the docs site: required fields, auth, and a worked example.
Source Catalog
Pick connector by category
Databases
Operational and document stores for row and collection scans.
Elasticsearch
Discover Elasticsearch indices and sample documents for detection.
Meilisearch
Discover Meilisearch indexes and sample documents for detection.
Microsoft SQL Server
Scan Microsoft SQL Server tables and views.
MongoDB
Scan MongoDB collections for Atlas or on-prem deployments.
MySQL
Scan MySQL tables with detector-ready row sampling.
OpenSearch
Discover OpenSearch indices and sample documents for detection.
Oracle
Scan Oracle service objects with optional view lineage.
PostgreSQL
Scan PostgreSQL tables with detector-ready row sampling.
SQLite
Scan tables in a local SQLite database file with no server required.
Graph Databases
Graph-native stores with node and relationship traversal.
Warehouse & Lakehouse
Analytical compute platforms and catalog-first ingestion.
Apache Hive
Scan Hive tables and views across selected databases.
Apache Iceberg
Scan Apache Iceberg tables in S3-compatible storage — schema, snapshots, and row sampling, no Spark required.
Azure Blob Storage
Scan blobs from Azure Storage containers with key, SAS, or managed identity auth.
Databricks
Scan Unity Catalog assets, notebooks, and pipelines.
Delta Lake
Scan Delta Lake tables in S3-compatible storage — schema, versions, and row sampling, no Spark required.
Dremio
Scan Dremio tables and views with lineage across spaces and sources.
Google Cloud Storage
Scan objects from Google Cloud Storage buckets with ADC or service account credentials.
Hugging Face
Stream files from a Hugging Face dataset, model, or space repository without cloning it.
Mounted Folder
Scan a folder of documents, spreadsheets and images — on this computer, or mounted into the cluster.
S3-Compatible Storage
Scan objects from AWS S3, MinIO, Cloudflare R2, Backblaze B2, and other S3-compatible endpoints.
Sandbox
Upload files directly and scan them through the standard source lifecycle.
Snowflake
Scan Snowflake tables and views with flexible authentication.
Code Repositories
Version-controlled source, configuration, and documentation.
Streaming
Event streams and message brokers sampled for content.
Web & UGC
Public-facing websites and user-generated content.
Social Media
Social and video platforms with public posts and transcripts.
Collaboration
Team communication and workspace activity streams.
Confluence
Scan Confluence spaces, pages, comments, and attachments.
Dropbox
Scan documents, spreadsheets, images, and Paper docs stored in a Dropbox account.
Email
Scan IMAP mailboxes (Gmail, Outlook/M365, and more) for messages and attachments.
Google Workspace
Scan Google Drive files, Docs, Sheets, and Slides across My Drive and shared drives.
Jira
Scan Jira issues, comments, links, and attachments.
Jira Service Management
Scan Jira Service Management requests, comments, and attachments.
Microsoft 365
Scan SharePoint sites, OneDrive files, and Teams files via Microsoft Graph API.
Notion
Scan Notion pages, data sources, comments, and file attachments.
Slack
Connect to Slack to scan channel messages.
Analytics & BI
Dashboards, reports, and business intelligence assets.
Other
Sources discovered in schema that have not been categorized yet.
By category
Where the evidence comes from
Connectors are grouped by what they are, not by vendor. Counts come straight from the schema, so this page can never drift from what the product actually supports.
CategoryConnectors
- Warehouse & Lakehouse12
Analytical compute platforms and catalog-first ingestion.
- Databases9
Operational and document stores for row and collection scans.
- Collaboration9
Team communication and workspace activity streams.
- Social Media2
Social and video platforms with public posts and transcripts.
- Analytics & BI2
Dashboards, reports, and business intelligence assets.
- Graph Databases1
Graph-native stores with node and relationship traversal.
- Code Repositories1
Version-controlled source, configuration, and documentation.
- Streaming1
Event streams and message brokers sampled for content.
- Web & UGC1
Public-facing websites and user-generated content.
- Other1
Sources discovered in schema that have not been categorized yet.
Every connector
What they all have in common
The system on the other end changes. What Classifyre does with what it reads does not.
Test before you scan
Every source can be dry-run from the app: check the credentials, see what it would read, and only then commit to a full scan.
Testing sources →Sampling that bounds cost
Large tables and files are read through sampling windows with a per-asset cursor, so a scan reads a bounded slice instead of everything.
Sampling →Cross-source fingerprints
The same value showing up in two different systems gets linked by identity, which is where most real investigations actually begin.
How it works →Missing the one you need?
Connectors are plugins, and the project is open source, so the answer is either a pull request or a conversation. Enterprise customers get sources built for their industry's systems by our engineers.