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Connectors

Does this work with my data?

Almost certainly. Mammoth reads files, databases, warehouses, CRMs and SaaS apps directly, 100+ tested connectors, and builds a custom one when it needs to. Search below for yours.
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61 sources shown

Files & storage

Drop it, schedule it, or point at a folder.

  • CSV
  • Excel
  • JSON
  • Google Sheets
  • URL / web file
  • Webhooks
  • SFTP
  • SharePoint
  • Amazon S3
  • Google Drive
  • Dropbox
  • Azure Blob Storage

Databases

Read directly, no export step.

  • PostgreSQL
  • MySQL
  • SQL Server
  • Oracle
  • MariaDB
  • SAP HANA
  • MongoDB
  • Amazon RDS
  • Amazon Aurora
  • Azure SQL

Warehouses

Query at scale, or land results back.

  • Snowflake
  • BigQuery
  • Amazon Redshift
  • Databricks
  • Azure Synapse
  • ClickHouse

CRM & sales

Pipeline and revenue at source.

  • Salesforce
  • HubSpot
  • Pipedrive
  • Zoho CRM
  • Microsoft Dynamics 365
  • Close

Finance & commerce

Ledger, invoicing and transactions.

  • Xero
  • QuickBooks
  • NetSuite
  • Stripe
  • Shopify
  • WooCommerce
  • PayPal
  • Square

Marketing & ads

Spend joined to outcomes.

  • Google Ads
  • Meta Ads
  • LinkedIn Ads
  • GA4
  • Mailchimp
  • SendGrid
  • Klaviyo
  • TikTok Ads

Product & support

Usage, tickets and delivery.

  • Jira
  • Zendesk
  • Intercom
  • Freshdesk
  • Asana
  • Zoom
  • Slack

People & ops

Headcount, time and payroll.

  • BambooHR
  • Workday
  • Harvest
  • Personio

How it's counted

Three kinds of connection

Free reads files and standard databases. Every paid plan reads all 100+ sources, with no per-connection allowance to manage.

Standard connections

Files, spreadsheets and the common databases: CSV, Excel, Sheets, JSON, URL, webhooks, MySQL, PostgreSQL and SQL Server.

On every plan, including Free

SaaS apps, APIs and warehouses

Salesforce, HubSpot, Stripe, Snowflake, BigQuery, S3 and the rest of the 100+. Each source counts as one connection no matter how many tables you read from it, and there is no allowance to run out of.

All 100+, Starter and up

Custom connectors

No native connector? AI builds one and validates it against your live data. On Enterprise we build and support it for you.

~1 week on Enterprise

Connection questions

What counts as one connection?
A source. If you connect Salesforce and read fifteen objects from it, that's one connection, not fifteen. There is no per-connection allowance on any plan: Free reads files and standard databases, and every paid plan reads all 100+ sources.
What if my source isn't listed?
AI builds a connector for it and validates the result against your live data before it goes into a pipeline. On Enterprise, we build and maintain a custom connector for you, typically within about a week.
Can it read from behind our firewall?
Yes. SFTP drops and webhook ingestion cover most cases without opening a database to the internet, and Enterprise deployments support private cloud and IP allowlisting.
Does it write data back out?
Yes. Free can download results; from Starter you can write to SFTP or FTP, S3, SharePoint, OneDrive or Azure Blob, and to databases and warehouses. A Live Link that serves fresh data on every run arrives on Team, and Tableau, the REST API and a managed database on Pro, so Mammoth can sit in the middle of an existing pipeline.
How often does it pull new data?
By hand on Free, weekly on Starter, daily on Team, and every three hours on Pro.

Connect your first source.

Files work in seconds. Databases and SaaS apps take a couple of minutes and a set of credentials.

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Keep reading

Data EngineWhat happens after the data arrives.SecurityHow connections and credentials are handled.PricingWhat each plan connects to.