400+ managed connectors
Marketing, sales, finance, product, and ad platforms - plus other databases and flat files - all maintained for you.
Universal MSSQL Server
Operational Database
Every source into SQL Server, in sync and in your control.
Dataddo is the turnkey data layer for SQL Server. Connect 400+ business sources, keep clean, governed tables in sync with no pipelines to build or maintain, and deploy the data plane in the cloud, a sovereign region, or on-premises so your data stays where it belongs. Fully managed and database-agnostic - no lock-in.
ARCHITECTURE
Where SQL Server 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 SQL Server, clean and current
Connect 400+ sources and keep SQL Server continuously fed with clean, governed data - no pipelines to build, and no bad or broken data slipping through.
ETL, ELT, CDC, streaming
Load SQL Server however the workload demands - batch ETL or ELT, real-time CDC from your source 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 SQL Server current and meet your data SLAs.
Clean, safe, ready to serve
Blend and reshape sources, then let the Data Quality Firewall stop bad records and automatic PII detection mask sensitive fields - so only trustworthy data lands in SQL Server.
Schema-drift handling
When a source changes its fields, Dataddo adapts the pipeline and alerts you instead of breaking the load into SQL Server.
Proactive monitoring
Data-quality checks and delivery alerts catch gaps before they reach SQL Server or the applications it powers.
WITH VS. WITHOUT
Who carries the load when things change upstream
Keep the same sources flowing into SQL Server - 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 SQL Server 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 SQL Server |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your SQL Server 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 SQL Server |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Issues caught before SQL Server consumers 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 residency by design
Choose where SQL Server is loaded - cloud, sovereign, or on-prem
Loading an operational database means moving your most sensitive data. With Dataddo you decide where the data plane runs per workload - fully in the cloud, in a regional or sovereign cloud, or on-premises inside your own perimeter. The control plane orchestrates every option the same way, through metadata only, so SQL Server stays wherever compliance and latency require.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA TRANSPORT
Every way to move data into and out of SQL Server
The delivery pattern changes, the platform does not. Load SQL Server by scheduled batch or in real time, replicate other databases into it, 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. | Consolidate SaaS, ad, and CRM data into SQL Server as an operational data store, Load raw data into SQL Server and transform it in place with SQL | |
| Change Data Capture (CDC) | Real-time, low-latency replication that tracks row-level changes as they happen. | Replicate production databases into SQL Server in near real time, Keep SQL Server in sync with other operational systems without full reloads | |
| Data Streaming | Continuous, event-driven pipelines for time-sensitive and AI-ready data workloads. | Stream events and webhooks into SQL Server for always-current data, Feed applications and services from SQL Server with 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. | Write modeled metrics and segments from your warehouse back into SQL Server, Sync SQL Server with the CRMs, ad platforms, and apps your teams run on |
Google Analytics 4
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
SQL Server + Dataddo, answered
What can I load into SQL Server?
Any of Dataddo's 400+ sources - marketing and ad platforms, CRMs, finance tools, other databases, and flat files - plus custom sources on request. Data is blended and cleansed before it lands in SQL Server.
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. Run it fully in the cloud with nothing to operate, or self-host the data plane as a lightweight agent - either way there is no pipeline code for you to maintain.
How does Dataddo connect to SQL Server?
With a SQL user (username and password), the server host and port (default 1433), and the target database. A named instance can be specified, TLS defaults to PREFERRED, and an SSH tunnel is available.
Which schema does Dataddo write to in SQL Server, and with what rights?
You choose the schema at flow time; the user needs rights to create tables and to insert, update and delete rows. Behind a firewall, allow the Dataddo IPs on port 1433. Missing tables are created on the first write.
Can Dataddo update rows in SQL Server or only append?
Seven write modes are available (insert, insert_ignore, truncate_insert, upsert, update, update_ignore, delete); all except insert and truncate_insert use a composite key of up to four columns. SQL Server table names may contain only letters or numbers.
Can I sync data both into and out of SQL Server?
Yes. Dataddo loads SQL Server from 400+ sources and also does reverse ETL - pushing modeled data from your warehouse or other systems back into SQL Server, and from SQL Server into CRMs, ad platforms, and 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 if you run the data plane on-premises, payload data never leaves your network. EU or US data residency is available.
Will this add load to SQL Server?
Incremental loads write only new or changed rows, and you control the schedule - so you move only the data you actually need and keep write load on SQL Server predictable.
Am I locked in?
No. Data lands in native SQL Server tables you own, and pipelines are database-agnostic - you can add or switch databases and destinations without rebuilding your sources.