Frequently Asked Questions

Dataddo supports ETL, ELT, reverse ETL, database replication, event-based integrations, and end-to-end integration of online sources with dashboarding apps. It also offers access to a full REST API, so any of Dataddo’s data integration functionality can be deployed in a headless scenario.

For more details on specific use cases, see our other use case pages:

• ETL & ELT

• Reverse ETL (Data Activation)

• Database Replication

• Powering Analytics (SaaS apps to dashboarding tools)

Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers — and the data plane can also run in European sovereign clouds (STACKIT, OVHcloud, Scaleway, Hetzner, Exoscale) or on-premises when data residency requirements demand it. See our:

• GCP marketplace page

• AWS marketplace page

• Azure marketplace page

Dataddo includes several built-in mechanisms for data quality that apply across every workload:

• The Data Quality Firewall (rule-based, configurable per column)
• Detailed monitoring and notifications
• Format harmonization, so data from disparate sources is analytics-ready
• Data blending/union
• The ability to exclude personally identifiable information (PII) from extractions

Specific workloads add their own controls. Reverse ETL adds flexible write modes, easy data mapping, and syncs as frequent as every 5 minutes. Database replication adds the Truncate Insert write mode, detailed flow logs, and automatic data type conversion.

See our documentation for more information about how Dataddo approaches data quality.

Consult the Dataddo SOC 2 Type II Certificate.

Dataddo’s standard pricing is based on the number of data flows. A data flow is the connection between a data source (or sources) and a destination - for example, sending data from Facebook Ads to Google BigQuery counts as one flow. This keeps budgeting predictable: costs do not escalate with data volume, extraction frequency, or number of data sources.

Headless and embedded deployments are priced individually using integration units, which account for rows and actions per month, per connector.

For current tiers and enterprise pricing, see our pricing page.

Dataddo is an enterprise data movement platform. A single control plane orchestrates data planes that run where your data lives - in your cloud, on-premises, or both - so data moves as managed infrastructure without being routed through a vendor’s cloud. Dataddo was founded in 2019 and is headquartered in Prague, Czech Republic.

Explore the Dataddo platform.

Management - scheduling, configuration, and monitoring - runs in Dataddo’s cloud control plane. The data movement itself runs in a data plane. By default, Dataddo operates as a fully managed cloud-to-cloud service, moving data directly between cloud sources and destinations. When data must stay in place, the data plane can instead execute inside your own environment - your cloud, on-premises, or both - so sensitive workloads never traverse public infrastructure. The same control plane orchestrates either model.

Learn more about a single control plane with multiple data planes.

Dataddo supports ETL, ELT, CDC, streaming, reverse ETL, batch file delivery, and zero-copy Apache Arrow - all in one platform.

See all data transport types.

All four, with one governance layer. Every action available in the web UI is also available via REST API and CLI, so pipelines can be version-controlled as YAML and deployed as code (CI/CD, GitOps). An MCP server gives AI agents native access.

See UI, API, CLI, and MCP.

Dataddo maintains 400+ connectors across SaaS APIs, databases, files, and object storage. Dataddo owns the connector contract end-to-end, so API changes, schema drift, and connector maintenance are Dataddo’s responsibility, not yours. If you need a connector that does not exist yet, Dataddo builds custom connectors, typically within about four weeks.

Browse the connector catalog.

Dataddo moves governed, multi-source data into the infrastructure AI systems depend on - vector databases, RAG context layers, and feature stores - and exposes an MCP server so AI agents (Claude, ChatGPT, Cursor, LangChain, and other MCP-compatible frameworks) can access data natively. Dataddo does not train or host models.

See how Dataddo is operated via UI, API, CLI, and MCP.

It depends on how you deploy. For fully managed cloud-to-cloud pipelines, data moves directly between your sources and destinations. For sensitive workloads, the data plane can execute inside your own environment, so your data stays within your perimeter and does not pass through Dataddo’s cloud.

Learn more about control plane and data planes.

Anywhere your data needs it to run. Dataddo deploys in any public cloud (AWS, Azure, Google Cloud), in European sovereign and regional clouds (such as STACKIT, OVHcloud, Scaleway, Hetzner, and Exoscale), on-premises, or in a hybrid setup with multi-region agents. It is portable across Kubernetes, OpenShift, and VMware Tanzu. Both the data plane and the control plane can run in the EU region or provider you choose.

See the versatile platform architecture.

Yes. Dataddo is GDPR-aligned, and because the data plane runs in the region you choose, data can stay within your jurisdiction to meet EU data residency requirements. The control plane can also be EU-hosted, so both planes can run under EU law.

Learn more about control plane and data planes.

Yes. Dataddo is built by an EU-domiciled company (HQ: Prague, Czech Republic) with no foreign parent, and it is structured so your data stays under EU control end to end. The data plane runs in your own environment, so data never transits Dataddo’s cloud. The control plane can also be EU-hosted, keeping both planes under EU jurisdiction. As an EU legal entity with no non-EU parent, Dataddo cannot be compelled to grant foreign access to your data.

This maps directly to SOV-3, the data and AI criterion in the EU Cloud Sovereignty Framework: pipelines must be developed, hosted, and governed under EU control. Dataddo meets all three. It carries no SEAL (Sovereignty Effectiveness Assurance Level) rating of its own, because it is not a cloud provider — instead it preserves the SEAL level of whatever cloud you run it on.

This is where US-based integration tools fall short: they route your data through their own US-controlled clouds, capping your effective sovereignty at the vendor’s SEAL level no matter how sovereign your destination is. Because Dataddo keeps the data plane in your environment, it removes that ceiling — and the same architecture positions you for the Cloud and AI Development Act (CADA), proposed June 2026, which will require data pipelines to be developed, hosted, and governed under EU control.

Read more about built for high-security environments.

Yes. Dataddo is used by enterprises in banking, insurance, healthcare, and the public sector, where the in-environment data plane combined with SOC 2 Type II, ISO 27001, and GDPR alignment meets strict regulatory requirements.

Read more about built for high-security environments.

Generally speaking, reverse ETL gives business teams like sales and marketing insights from information that only organizations know about themselves.

To illustrate, let’s look at CRMs. CRMs collect a lot of customer data. Payment amounts, support tickets, acquisition information—the data’s there. But it’s not all there. Companies have their own specific way of calculating certain metrics, in particular metrics based on first-party data, and it’s difficult for CRMs to display these without heavy—and costly—customizations.

Imagine your company sells software as a service, and that customers with three or more user accounts tend to have a lower risk of churn. There is no way your CRM could know this straight out of the box. But, if you have the right customer data in your data warehouse, your engineers can run computations there, then send the risk scores back into your CRM via a reverse ETL tool, making them visible to your sales and support teams alongside all other customer data. With little to no effort, these teams will then be able to identify who is at risk of churn.

This is why reverse ETL is often referred to as the “last mile” of the modern data stack—it enables organizations to display any information in any business app.

Generally speaking, database replication helps keep data accessible across locations and platforms for the whole organization. More specifically, it is used for:

• Analytics. Replicating data from a production database to a data warehouse, i.e. a safe sandbox for analytics teams.

• Data migration. Simplifies the data migration processes during system upgrades or transitions to new database platforms.

• Disaster recovery. Redundancy and backup solutions ensure data availability and reliability in case of system failures or disasters.

• Data consistency. Keeps data consistent across databases and other systems, preventing discrepancies and ensuring uniformity.

• Performance optimization. Distributes data load across multiple databases, improving read performance and reducing latency.

• Improving scalability. Distributing data across multiple servers or cloud environments enables systems to scale better.

• Automated real-time data sync & updates. Keeps data automatically updated and synchronized in real-time and between systems, reducing manual efforts and errors.

• No more manual CSV uploads. Automate all your data connections.
• No more switching between platforms to see data. By syncing data from all your platforms to an analytics tool, you can monitor important cross-platform metrics from a single place.
• Analytics-ready data. Dataddo automatically unifies the format of data from your various apps, so that it’s ready to analyze by the time it gets to your dashboard.
• Long-term scalability. Dataddo is a comprehensive, any-to-any data integration tool designed to meet the needs of any professional or organization that works with data—from solo marketers to global enterprises. This means you can start by using it to send data from online services to analytics tools and then, when your organization is ready, use it to centralize data in a warehouse, replicate data between databases, or send data from warehouses into business apps like CRMs and marketing automation platforms. A central screen for managing all data connections, multiple users per account, and multi-tenant deployment makes it easy for various departments and teams to adopt Dataddo for their own use cases.
• Predictable pricing. Always know what you’re paying and never get a bad surprise at the end of the month. Since Dataddo’s pricing is based on number of data connections (i.e., flows) costs do not escalate with data volume, extraction frequency, or number of data sources.
• Proactive pipeline monitoring and maintenance. Our engineers proactively monitor connections and manage all API changes behind the curtain. This means you don’t have to worry about your connections breaking in the middle of the night.
• Inbuilt data quality tools. Dataddo automatically unifies the formats of data it sends to dashboarding tools, so your data will always be ready to analyze. We also enable rule-based monitoring and data quality checks, to help you prevent inaccuracies and errors in any data you transfer with Dataddo.
• Connects any A to any B. Never worry that you might be “stuck” with a tool that can’t connect to one of your services. In addition to offering a massive connector portfolio of apps and databases, we build new connectors for clients all the time.

See our Supermetrics comparison page for the full breakdown.

Dataddo has obtained an SOC 2 Type II report for its data integration platform, which outlines the security controls implemented for the platform and evaluates their appropriateness and effectiveness in meeting the AICPA Trust Service Criteria. The report serves as an independent assessment of Dataddo’s ability to manage data with regard to security, availability, and confidentiality.

The scope of the SOC 2 Type II report includes all products and features within the Dataddo platform.

The report covers all regions in which Dataddo is available for use.

BDO Czech Republic performs the Dataddo SOC 2 audits.

Annually.

Yes, an NDA is required to review the Dataddo SOC 2 Type II report. Please contact us to begin the process.

Dataddo is SOC 2 Type II certified, ISO 27001 certified, GDPR-aligned, and PCI DSS compliant.

Read more about built for high-security environments.

Dataddo uses end-to-end encryption with bring-your-own-key support (AWS KMS, Azure Key Vault, HSM), network isolation, and PII detection, masking, and tokenization at ingestion. Access is governed by SSO (SAML 2.0, OIDC), role-based access control, and immutable audit logging.

Read more about built for high-security environments.

Any organization building a data product whose main focus is to generate insights from data; for example, CDPs or data analytics platforms—these need data from various sources to work properly, but their main functionality is analytics. By connecting to the unified Dataddo API, such organizations can put all of Dataddo’s integration functionality under the hood of their product, and focus instead on developing the product’s insight-generation functionality.

Doing this will:

• Shorten time to market
• Improve market adaptability
• Save money and engineering resources

Any organization that wants to go beyond our user interface to achieve more control over data integrations — for example, to automate repetitive jobs like historical data loads, or to implement client-specific configurations.

Doing this via the Dataddo API allows you to:

• Automate any complex or repetitive integration workload
• Implement custom authentication and authorization flows
• Subscribe and manage Dataddo via AWS, Azure, or GCP marketplaces