Plattform

Das Datenfundament
für KI

Dataddo ist die Datenintegrationsschicht, die Enterprise-KI-Adoption real macht. In Produktion, im großen Maßstab, unternehmensweit governed.

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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

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

Control Plane

Multiple Data Planes. Single Control Plane.

Manage your entire data integration operation from one cloud Control Plane, while Data Planes run wherever your data lives - cloud, on-premises, or both.

Many Data Planes. One Control Plane.

One Control Plane can orchestrate multiple Data Plane deployments simultaneously - centralized governance without sacrificing architectural flexibility.

Sensitive Data Stays Private

Sensitive data can be processed exclusively within a private, on-premises Data Plane, while less sensitive workloads run in the cloud - all under a single management interface.

Deploys Anywhere

Data Planes deploy on AWS, Azure, GCP, sovereign and private clouds, regional providers, and on-premises container platforms including Kubernetes, Red Hat OpenShift, and VMware Tanzu.

Explore Control Plane →

Data Transport

Every data transport pattern. One platform.

Data moves in different ways for different reasons. Dataddo supports the full spectrum of transport paradigms, so you never need a separate tool just because the delivery pattern changed.

Transport type	What it does	Typical connectors	Typical business use cases
ETL & ELT	Classic extract-transform-load, or load-first with in-warehouse transformation.	Salesforce Google Analytics 4 HubSpot Snowflake BigQuery	BI dashboards & reporting, Marketing & sales analytics, Centralizing SaaS data in a warehouse
Change Data Capture (CDC)	Real-time, low-latency replication that tracks row-level changes as they happen.	PostgreSQL MySQL SQL Server Oracle MongoDB	Real-time warehouse replication, Operational reporting, Keeping analytics in sync with production
Data Streaming	Continuous, event-driven pipelines for time-sensitive and AI-ready data workloads.	Kafka Webhooks Event streams	Event-driven pipelines, Real-time analytics, Keeping AI context & RAG stores fresh
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.	Salesforce HubSpot Google Ads Marketo	Syncing scores & segments to CRMs, Operationalizing warehouse data, Activating AI-generated insights
Batch File Delivery	Structured delivery of datasets via files to S3, SFTP, or any storage target.	AWS S3 SFTP Google Cloud Storage Azure Blob Storage	Scheduled dataset exports, Partner & vendor data exchange, Archival & compliance
Zero-Copy with Apache Arrow	High-performance, in-memory data sharing without serialization overhead, purpose-built for AI and analytics pipelines.	Jupyter Notebooks Python / pandas	High-performance AI & analytics, ML feature pipelines, Low-overhead data sharing

Explore Data Transport →

Vendor Agnostic

Vendor- and stack-agnostic by design - and EU sovereign by choice.

Dataddo is the integration layer above your data stack - not tied to any single vendor. Snowflake, Databricks, Microsoft Fabric, BigQuery, or open standards like Apache Iceberg: Dataddo connects to it. And when data residency matters, it runs entirely within EU sovereign clouds.

Warehouses & lakehouses

Snowflake

Databricks

Microsoft Fabric

Google BigQuery

Amazon Redshift

Azure Synapse

ClickHouse

Firebolt

Vertica

+ many others

Open table formats

Apache IcebergDelta LakeApache Hudi

Run on any cloud

AWSAzureGoogle Cloud

EU sovereign clouds

HetznerOVHcloudSTACKIT

With on-premises data plane

KubernetesOpenShiftVMware Tanzu

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Security

Built for high-security, high-sensitivity, high reliability

Security is embedded in Dataddo's architecture, not bolted on afterward. From network topology to field-level data handling, every layer is designed to meet the strictest compliance and security requirements.

Designed for the most stringent security requirements

Network Isolation

Process sensitive data in a fully isolated Data Plane deployed in your private cloud or on-premises environment. No sensitive data ever needs to traverse public infrastructure.
PII Detection & Data Masking

Built-in tooling automatically identifies personally identifiable information and applies masking, tokenization, or redaction rules before data moves downstream.
End-to-End Encryption

All data encrypted in transit and at rest. Bring your own keys via AWS KMS, Azure Key Vault, or hardware security modules (HSM) for complete control over your encryption posture.
High Availability

Multi-region deployments, automated failover, and built-in redundancy keep pipelines running when infrastructure doesn't cooperate.

Certified & compliant with

SOC 2 Type II · ISO 27001 · GDPR · HIPAA · DORA · CCPA · LGPD · POPIA

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Interfaces

UI, API, MCP

A business analyst provisioning a source and a platform engineer deploying thousands of pipelines need different interfaces. Dataddo provides all three, backed by the same governance, RBAC, and audit layer.

Interface	Designed for	Best for
UI	Business analysts and data teams who want to build and monitor pipelines without writing code.	Self-service pipeline setup, monitoring, and fast proofs of concept.
API	Developers and platform teams automating Dataddo programmatically.	Embedding Dataddo in internal portals, provisioning pipelines at scale, and CI/CD.
MCP	AI agents and assistants - Claude, ChatGPT, Cursor, LangChain, LlamaIndex.	Letting agents provision pipelines and query governed data in context, over a native protocol.

Explore Interfaces →

Scalability

Start with what you need today. Scale to what you'll need tomorrow.

Dataddo is designed for incremental adoption - no rearchitecting overnight, no large upfront investment before seeing returns. Start with a handful of pipelines, prove value quickly, and expand at your own pace.

Incremental Adoption

Deploy what you need now - no big-bang migrations, no re-platforming. And when the business switches CRMs or adopts a new tool, you deploy new pipelines in no time, so your data layer keeps pace with change.

Short Time-to-Value

First pipelines are live in hours, not months. ROI starts before the rollout is complete.

No Ceiling

The same platform that powers an initial proof of concept scales to organization-wide deployment without architectural changes.

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Data Contract

We own the data contract. Not just the connector.

Source APIs change, schemas evolve, vendors deprecate endpoints. In most integration setups that becomes your team's problem to discover and fix. With Dataddo, it's ours.

What happens when things change upstream

Without Dataddo

Your team owns it

API or auth change - You discover the breakage and scramble to fix it.
Schema drift - Columns change and pipelines break or corrupt data silently.
Endpoint deprecated - You re-engineer the integration.
Missing connector - You build and maintain a custom integration.
Silent degradation - You find out when a report or model run fails.
Debugging - You dig through logs across disconnected tools.

With Dataddo

We own it

API or auth change - We update the connector and restore the pipeline - often before you notice.
Schema drift - Detected automatically and handled by configurable rules.
Endpoint deprecated - We own the update - the data contract holds.
Missing connector - We build it and maintain it, under a ~4-week SLA.
Silent degradation - Proactive monitoring catches anomalies and delays first.
Debugging - Run histories, payload inspection, and end-to-end lineage in one place.

Explore Data Contract →

Interoperability

Interoperability with enterprise systems

A modern data platform can't exist in isolation. Dataddo integrates natively with the systems surrounding your data infrastructure - identity, monitoring, orchestration, SIEM, and secret management.

Identity & Access Management

SAML 2.0OIDCRBACOktaMicrosoft Entra IDOneLoginKeycloak + more

Lineage & Governance

CollibraOpenMetadataDataHubDawiso + more

Monitoring & Observability

DatadogPrometheusGrafana + more

Orchestration

Apache AirflowPrefectDagster + more

SIEM Integration

SplunkMicrosoft Sentinel + more

Secret Management

HashiCorp VaultAWS Secrets ManagerAzure Key Vault + more

Explore Interoperability →

Dataddo in Ihrem Stack erleben

Buchen Sie eine technische Live-Demo mit einem unserer Ingenieure, oder starten Sie kostenlos Ihre erste Pipeline in wenigen Minuten.

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Kundenstimmen

Unsere Kunden lieben uns

4,8 von 5

4,5 von 5

Global Beauty & CPG Leader

Anonymous

“I wanted to take a moment to express my gratitude for your invaluable collaboration throughout the year. Working with you has been a real pleasure. Your professionalism, reactivity and dedication to quality has been instrumental in accomplishing the migration of Facebook Ads sourcing. I truly value our partnership and look forward to continuing our collaboration.”

Amalia Bornstein

Global Social Content and Marketing Data Analyst

Uber Eats

“Das Datenteam von Uber Eats schätzt die benutzerfreundliche Oberfläche von Dataddo, die für die Bedienung durch technisch nicht versierte Teammitglieder konzipiert ist, um den Bedarf an übermäßiger Schulung zur Unterstützung einer effizienten Projektabwicklung zu minimieren.”

Andrew Hart

Chief Operations Officer

Sat 7

“Die Zusammenarbeit mit Dataddo hat unsere Berichterstattung erheblich vereinfacht und uns Zugang zu Trenddaten und Erkenntnissen verschafft, die wir zuvor nicht generieren konnten.”

Vahan Petrosayan

Director of IT & Infrastructure

Search Engine Journal

“Mit Dataddo werden alle meine Fragen schneller beantwortet …[und es macht] jetzt Spaß, mit Daten zu spielen.”

Michael Guntenaar

CTO

ID&T Group

“Dataddo öffnet Tore und nimmt die Hürden bei der Arbeit mit Daten.”

Laurent Partouche

CPO

FoodChéri & Seazon

“Wir haben uns für Dataddo aufgrund seiner Benutzerfreundlichkeit, automatischen Transformationen, klaren Preispolitik und der Qualität der menschlichen Beziehung entschieden, die sich seit unserem ersten Austausch etabliert hat.”

Natheer Maloon

Technology Solutions Manager

Boldr

“Die Unterstützung von Dataddo erwies sich während der gesamten Implementierungsphase als äußerst wertvoll. 9,5 von 10.”

Zdeněk Hejnak

Data Development Team Leader

Livesport

“Wir sparen etwa 70 % der Zeit, die sonst für die Aufnahme aller unserer Daten benötigt würde, oder 3–4 Vollzeitäquivalente, und verbringen viel mehr Zeit mit der Datenanalyse und -aktivierung. Wir haben nur einen Vollzeit-Dateningenieur, der mehr tut, als nur Daten zu sammeln, während unser BI-Team aus 11 Mitgliedern besteht.”