400+ managed connectors
Marketing, sales, finance, product, and ad platforms - plus databases and flat files - all maintained for you.
Snowflake
Snowflake
Data WarehouseDataddo is the turnkey data layer for Snowflake. Connect 400+ business sources, land clean, governed tables with no pipelines to build or maintain, and push Snowflake data back into your operational tools. Fully managed and warehouse-agnostic - no lock-in.
ARCHITECTURE
Where Snowflake fits in your data architecture
Sources
Business / DB / File / Streaming Connectors
450+ available, any direction
HubSpot
Google Ads
Google Sheets
Salesforce
SAP S/4HANA
Oracle
Microsoft Dynamics 365
AWS S3
Azure SQL
Google Cloud SQL
MySQL
PostgreSQL
IBM Db2
+ any other
Your existing stack
Orchestration
Monitoring
Governance & Lineage
IAM & SSO
Dataddo Platform
Speed
Security
Governance
Control Plane
UI
Visual workspace for teams to build, run and monitor pipelines
API
Programmatic interface to embed Dataddo in your own stack and workflows
MCP
Dedicated interface for AI & agents to access governed data in context
Data Plane
Isolated deployment
Hyperscalers
AWSAzureGoogle Cloud
Isolated deployment
EU Cloud Providers
HetznerOVHcloudSTACKIT
Isolated deployment
On-Prem
KubernetesOpenShift
Data + Metadata
Destinations
DWH / Data Lake / Lakehouse
Snowflake
Databricks
Microsoft Fabric
Google BigQuery
Amazon Redshift
Azure Synapse
Oracle
IBM Db2
Universal PostgreSQL
Universal MySQL
+ any other
Data + Metadata
Consumption
AI & Agents / Analytics
Claude
Gemini
OpenAI
Mistral
BottleCap AI
Power BI
Tableau
Looker Studio
Databox
+ any other
Sources
Business / DB / File / Streaming Connectors
450+ available, any direction
Orchestration
Monitoring
Governance & Lineage
IAM & SSO
Dataddo Platform
Speed
Security
Governance
Control Plane
Data Plane
Destinations
DWH / Data Lake / Lakehouse
Consumption
AI & Agents / Analytics
ETLELTReverse ETLCDCData Streaming
Any direction, any workload
YOUR DATA FOUNDATION
Every source into Snowflake, analytics-ready
Connect 400+ sources and land clean, governed tables in Snowflake - no pipelines to build, and no bad or broken data slipping through.
ETL, ELT, CDC, streaming
Load Snowflake however the workload demands - batch ETL or ELT, real-time CDC from your databases, or continuous event streaming. One platform, every transport pattern.
Write modes that hit SLAs
Insert, upsert, truncate-insert, or delete - pick the write mode per table. Incremental loads and fast, reliable delivery keep Snowflake current and meet your data SLAs.
Clean, safe, analytics-ready
Blend and reshape sources, then let the Data Quality Firewall stop bad records and automatic PII detection mask sensitive fields - so only analytics-ready data lands in Snowflake.
Schema-drift handling
When a source changes its fields, Dataddo adapts the pipeline and alerts you instead of breaking the load.
Proactive monitoring
Data-quality checks and delivery alerts catch gaps before they reach your dashboards or Snowflake tables.
WITH VS. WITHOUT
Who carries the load when things change upstream
Keep the same sources flowing into Snowflake - and see who owns it when an API, schema, or endpoint changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Pipelines to Snowflake keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean data lands in Snowflake |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Snowflake loads keep working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any source can reach Snowflake |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Issues caught before Snowflake reports break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, less downtime |
DATA TRANSPORT
Every way to move data into and out of Snowflake
The delivery pattern changes, the platform does not. Load Snowflake by scheduled batch or in real time, and activate its data back out - all governed the same way.
| Transport type | What it does | Typical connectors | Typical business use cases |
|---|---|---|---|
| ETL & ELT | Classic extract-transform-load, or load-first with in-warehouse transformation. | Centralize SaaS, ad, and CRM data in Snowflake for BI and reporting, Load raw data into Snowflake and model it in-warehouse with SQL or dbt | |
| Change Data Capture (CDC) | Real-time, low-latency replication that tracks row-level changes as they happen. | Replicate production databases into Snowflake in near real time, Keep Snowflake in sync with operational systems without full reloads | |
| Data Streaming | Continuous, event-driven pipelines for time-sensitive and AI-ready data workloads. | Stream events and webhooks into Snowflake for real-time analytics, Keep Snowflake continuously fed so dashboards reflect the latest activity | |
| Reverse ETL | Activate your data: push curated, governed records from your AI agents or warehouse back into CRMs, operational systems, and the frontier apps where your teams act on it. | Push modeled metrics and segments from Snowflake into CRMs and ad platforms, Operationalize Snowflake data in the tools your teams use every day |
Google Analytics 4
SQL Server
MongoDB
Kafka
Marketo
Case Studies
See what data teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
FAQ
Snowflake + Dataddo, answered
What can I load into Snowflake?
Any of Dataddo's 400+ sources - marketing and ad platforms, CRMs, finance tools, databases, and flat files - plus custom sources on request. Data is blended and cleansed before it lands in Snowflake.
Do I have to maintain the pipelines?
No. Dataddo is fully managed: we maintain the connectors, adapt to source schema changes, and alert you if anything needs attention. There is no infrastructure for you to run.
How does Dataddo authenticate to Snowflake?
Dataddo supports password-based or key-pair authentication against your account identifier, with the database and schema in uppercase (schema defaults to PUBLIC) and an optional warehouse. The role needs USAGE, SELECT, INSERT, UPDATE, DELETE and CREATE TABLE on the target schema; a future grant keeps permissions on newly created tables.
How do I let Dataddo reach a Snowflake account with a network policy?
If your Snowflake account has a network policy enabled, add the Dataddo IP ranges to it (see docs.dataddo.com/docs/network-acl). Otherwise the policy blocks Dataddo's connection.
What are Snowflake table-naming constraints in Dataddo?
Snowflake table names are uppercase, must start with a letter or underscore, and may contain only letters, numbers, underscores and dollar signs. Missing tables are created on the first write and date tokens such as {{1d1}} are supported.
Can I send data back out of Snowflake?
Yes. Dataddo does reverse ETL - push modeled metrics and segments from Snowflake into CRMs, ad platforms, spreadsheets, BI tools, and other operational apps.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available.
Will this run up my Snowflake bill?
Incremental loads write only new or changed rows, and you control the load schedule - so you move and store only the data you actually need.
Am I locked in?
No. Data lands in native Snowflake tables you own, and pipelines are warehouse-agnostic - you can add or switch warehouses without rebuilding your sources.