Connectors rot
SaaS vendors change their APIs without asking. Self-built connectors break on a Tuesday; open-source ones wait for a volunteer to notice.
Solutions / SaaS Data Integration
400+ SaaS connectors. Maintained by us, so they're never your problem.
Every tool your business runs on - CRM, ads, support, finance, HR - flowing into your warehouse on schedule, analytics-ready and AI-ready on arrival. When a vendor changes their API, Dataddo absorbs it, so your dashboards and your AI agents never see a broken feed.
Your pipelines keep running; your agents keep working; your team keeps their weekends.
The problem
Every new SaaS tool is another API someone has to babysit.
The data your business needs lives in dozens of tools, and each one exports it differently. Getting it all into one place - and keeping it there - fails in predictable ways:
APIs fight back
Rate limits, pagination, auth expiry, request size caps - every source has its own obstacle course, and your pipeline has to run it perfectly, every night.
Raw exports aren't analytics-ready
Nested JSON, inconsistent fields, every tool naming things its own way - so the real integration work just moves downstream into your warehouse.
Dataddo takes all three off your plate: maintained connectors, managed extraction, and data that arrives ready to query.
How it works
We own the connector. You own the insights.
When you connect a source through Dataddo, the maintenance moves to us. Vendor changes their API? We update the connector. Rate limits, pagination, request sizing? Handled automatically - Dataddo makes multiple calls in parallel, pages through large datasets, and adapts request sizes to stay inside each API's limits. A transient failure? Extractions retry automatically, and if something genuinely breaks, you're told exactly what and why - not left to discover it in a dashboard.
Context matters
Analytics-ready on arrival.
Data doesn't just land - it lands ready. Nested API responses are flattened into clean tables, and every row can carry context: when it was extracted, what period it covers, which account it came from. Prefer to model everything in the warehouse with dbt? Keep Dataddo's transformations minimal and go ELT. Want prepared tables with no modeling layer? Go ETL. Both work; most teams mix them.
Multi-account extraction
Many ad accounts. One setup.
Running multiple Facebook, Google, or LinkedIn accounts? Multi-account extraction pulls them all through a single source configuration - same settings, same schema, per-account identifiers included. Set it up once, and every account stays consistent.
Capabilities
Maintained coverage, not just broad coverage.
400+ connectors, one standard.
Marketing, sales, support, finance, HR, analytics - the tools your business already runs on, connected the same way with the same governance.
Schema stability, by design.
Your warehouse tables don't silently change shape because a vendor renamed a field. Dataddo detects schema drift at extraction and keeps destination tables stable - dashboards don't break by surprise, and changes happen when you decide, not when the vendor does.
No duplicate rows.
Re-extracted and overlapping data updates existing records instead of piling up - your warehouse stays clean without deduplication jobs.
Quality-checked on the way in.
The Data Quality Firewall inspects every load before it lands - null checks, zero checks, anomaly rules per column. Bad loads can be stopped at the door, or delivered with an alert. Your call.
Fresh on your terms.
Schedules down to one minute where the source API allows it, and Dataddo helps you set the fastest frequency each vendor can actually serve.
A new tool is a task, not a project.
When the business adopts a new SaaS product, connecting it takes minutes. No connector for it yet? Custom connectors land in about four weeks - we build it, then we maintain it.
Running SaaS syncs alongside CDC, batch, and streaming pipelines? See how it all runs under one governed platform. See the Single Ingestion Layer →
The tools your business already runs on
SalesforceHubSpotGoogle AdsMeta AdsStripeZendeskJiraMarketoGoogle Analytics 4NetSuiteXero
+ 400 more
Proof
SaaS data integration at scale.
60,000+ accounts synced daily. A Fortune 100 beauty and CPG company runs high-volume, multi-source SaaS ingestion into their analytical platform - deployed inside their own cloud.
Read the Full Case Study →
Time to value
Connected this morning. Queried this afternoon.
Authorize the source, pick the warehouse, and Dataddo does the rest - including creating an optimized destination table with the right types and indexes on the first load. From then on, extraction, API quirks, retries, and quality checks run without you. The connector maintenance your team was quietly dreading? It's ours now.
Browse the connector catalog.
A full searchable directory - filter by source category, destination, or use case.