Platform

Your AI is only as good as your data foundation.
Dataddo is that foundation.

Every AI initiative lives or dies on the quality, freshness, and accessibility of the data behind it. The models are only as capable as what you feed them - and most enterprise AI projects don't fail because of the model. They fail because the data pipeline underneath it is brittle, stale, or never built properly.

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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.

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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
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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.
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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
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See Dataddo in Your Stack

Book a live technical walkthrough with one of our engineers, or spin up your first pipeline for free in minutes.

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