# Dataddo - Complete Reference > No-code data integration platform. Connects 400+ sources to any destination without code. --- ## Company Overview Dataddo is a no-code, maintenance-free data integration platform founded in 2019 and headquartered in Prague, Czech Republic. It enables data teams to connect any data source to any destination without writing code, hiring dedicated data engineers, or dealing with API maintenance. Key differentiators: - Fixed pricing (not per-row or per-connector) - No-code setup with a visual interface - Full REST API for headless/programmatic use - SOC 2 Type II certified - Automatic schema management and 24/7 monitoring - 400+ pre-built connectors ## Products ### Data Anywhere Dataddo's core product for automated data pipelines. Supports ETL, ELT, reverse ETL, and database replication. Sources connect to destinations via "data flows" that run on a schedule or event trigger. ### Dashboards Direct connector integration with dashboarding tools. Connect Salesforce, Google Analytics, Facebook Ads, and other sources directly to Looker Studio, Tableau, Power BI, and similar tools without a data warehouse. ### REST API Full REST API exposing all platform functionality for headless deployments, custom data products, and programmatic control. ## Use Cases ### Powering Analytics Automate data delivery to BI tools and dashboards. Eliminates manual CSV exports and fragile spreadsheet pipelines. ### ETL & ELT Extract data from 400+ sources, load to a data warehouse (Snowflake, BigQuery, Redshift, etc.), and optionally transform. Supports both ETL and ELT patterns. ### Reverse ETL Sync processed data from a data warehouse back to operational tools (CRM, marketing platforms, etc.). ### Database Replication Real-time and scheduled replication between databases. Supports PostgreSQL, MySQL, SQL Server, and cloud databases. ### Headless Data Products API-first data integration for building custom data products. Full REST API with the same connector library as the UI. ### Custom Workloads Complex, bespoke data automation scenarios. Custom connectors available on request. ## FAQ: Powering Analytics ### What other integration use cases does Dataddo serve? Dataddo is an any-to-any data integration platform that 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 Database Replication Connectors for Data Products ### What are the benefits of integrating data with Dataddo? - 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. ### How does Dataddo compare to Supermetrics? See our Supermetrics comparison page for the full breakdown. ### Where can I learn more about Dataddo's SOC 2 Type II certificate? You can find our full SOC 2 Type II certificate on our data security page . ### How is Dataddo priced for app-to-dashboard use cases? Dataddo's pricing is based on number of flows. What is a data flow? A data flow is the connection between a data source or sources and a destination. For example, if you send data from Facebook Ads (source) to Google BigQuery (destination), this will count as one flow. This pricing model allows for clear budgeting, as costs do not escalate with data volume, extraction frequency, or number of data sources. ## FAQ: Etl Elt ### What other integration use cases does Dataddo serve? In addition to ETL and ELT, Dataddo supports 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. See our other use case pages: Operational analytics (reverse ETL) Database replication Powering analytics (SaaS apps to BI tools) Headless Data Integration for data products ### How does Dataddo solve data quality problems for ETL and ELT workloads? Dataddo offers a number of mechanisms for tackling data quality problems. These include, but are not limited to: The Data Quality Firewall (rule-based, configurable per column) Detailed monitoring and notifications Format harmonization (minimizes downstream processing costs and ensures that data from disparate sources is analytics-ready) Data blending/union The ability to exclude personal identifiable information (PII) from extractions See our documentation for more information about how Dataddo approaches data quality. ### Is Dataddo deployable within the Google Cloud Platform/AWS/Microsoft Azure ecosystems? Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our: GCP marketplace page AWS marketplace page Azure marketplace page ### Where can I learn more about Dataddo's SOC 2 Type II certificate? See Dataddo's SOC 2 Type II certificate . ### How is Dataddo priced for ETL/ELT use cases? Dataddo's pricing is based on number of flows. What is a data flow? A data flow is the connection between a data source or sources and a destination. For example, if you send data from Facebook Ads (source) to Google BigQuery (destination), this will count as one flow. This pricing model allows for clear budgeting, as costs do not escalate with data volume, extraction frequency, or number of data sources. ## FAQ: Reverse Etl ### What other integration use cases does Dataddo serve? In addition to reverse ETL, Dataddo supports ETL and ELT, 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 Database Replication Powering Analytics (SaaS apps to dashboarding tools) Headless data integration for data products ### How does Dataddo solve data quality problems for reverse ETL workloads? Dataddo offers a number of embedded mechanisms for tackling data quality problems. These include, but are not limited to: The Data Quality Firewall (rule-based, configurable per column) Flexible write modes Easy data mapping Detailed monitoring and notifications Detailed flow logs Syncs every 5 mins See our documentation for more information about how Dataddo approaches data quality. ### What are the benefits of reverse ETL? 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. ### Is Dataddo deployable within the Google Cloud Platform/AWS/Microsoft Azure ecosystems? Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our: GCP marketplace page AWS marketplace page Azure marketplace page ### Where can I learn more about Dataddo's SOC 2 Type II certificate? Consult the Dataddo SOC 2 Type II Certificate . ### How is Dataddo priced for reverse ETL use cases? Dataddo's pricing is based on number of flows. What is a data flow? A data flow is the connection between a data source or sources and a destination. For example, if you send data from Facebook Ads (source) to Google BigQuery (destination), this will count as one flow. This pricing model allows for clear budgeting, as costs do not escalate with data volume, extraction frequency, or number of data sources. ## FAQ: Database Replication ### What other integration use cases does Dataddo serve? In addition to database replication, Dataddo supports ETL and ELT, reverse ETL, 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 (Operational Analytics) Powering Analytics (SaaS apps to dashboarding tools) Headless data integration for data products ### How does Dataddo solve data quality problems for database replication workloads? Dataddo offers a number of embedded mechanisms for tackling data quality problems. These include, but are not limited to: The Data Quality Firewall (rule-based, configurable per column) Truncate Insert write mode Detailed monitoring and notifications Detailed flow logs Automatic data type conversion (minimizes downstream processing costs and ensures that data from disparate sources or unstructured data is analytics-ready) See our documentation for more information about how Dataddo approaches data quality. ### What are the benefits of database replication? 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. ### Is Dataddo deployable within the Google Cloud Platform/AWS/Microsoft Azure ecosystems? Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our: GCP marketplace page AWS marketplace page Azure marketplace page ### Where can I learn more about Dataddo's SOC 2 Type II certificate? Consult the Dataddo SOC 2 Type II Certificate . ### How is Dataddo priced for database replication use cases? Dataddo's pricing is based on number of flows. What is a data flow? A data flow is the connection between a data source or sources and a destination. For example, if you send data from Facebook Ads (source) to Google BigQuery (destination), this will count as one flow. This pricing model allows for clear budgeting, as costs do not escalate with data volume, extraction frequency, or number of data sources. ## FAQ: Headless Data Products ### Who should consider using Dataddo's Headless Data Integration? 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 ### What data integration use cases does Dataddo serve? 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 (Operational Analytics) Database Replication Powering Analytics (SaaS apps to dashboarding tools) ### How does Dataddo solve data quality problems? Dataddo offers a number of mechanisms for tackling data quality problems. These include, but are not limited to: The Data Quality Firewall (rule-based, configurable per column) Detailed monitoring and notifications Format harmonization (minimizes downstream processing costs and ensures that data from disparate sources is analytics-ready) Data blending/union The ability to exclude personal identifiable information (PII) from extractions See our documentation for more information about how Dataddo approaches data quality. ### Is Dataddo deployable within the Google Cloud Platform/AWS/Microsoft Azure ecosystems? Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our: GCP marketplace page AWS marketplace page Azure marketplace page ### Where can I learn more about Dataddo's SOC 2 Type II certificate? Consult the Dataddo SOC 2 Type II Certificate . ### How is Dataddo priced for Headless use cases? Dataddo's pricing for Headless Data Integration is calculated individually for every client, and is based on integration units. These units take into account rows and actions per month, per connector. The number of units a client needs is determined in advance, which allows for clear budgeting, as costs will not fluctuate unpredictably from month to month. ## FAQ: Headless Custom Workloads ### Who should consider using Dataddo's Headless Data Integration? 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 ### What data integration use cases does Dataddo serve? 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 (Operational Analytics) Database Replication Powering Analytics (SaaS apps to dashboarding tools) ### How does Dataddo solve data quality problems? Dataddo offers a number of mechanisms for tackling data quality problems. These include, but are not limited to: The Data Quality Firewall (rule-based, configurable per column) Detailed monitoring and notifications Format harmonization (minimizes downstream processing costs and ensures that data from disparate sources is analytics-ready) Data blending/union The ability to exclude personal identifiable information (PII) from extractions See our documentation for more information about how Dataddo approaches data quality. ### Is Dataddo deployable within the Google Cloud Platform/AWS/Microsoft Azure ecosystems? Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our: GCP marketplace page AWS marketplace page Azure marketplace page ### Where can I learn more about Dataddo's SOC 2 Type II certificate? Consult the Dataddo SOC 2 Type II Certificate . ### How is Dataddo priced for Headless use cases? Dataddo's pricing for Headless Data Integration is calculated individually for every client, and is based on integration units. These units take into account rows and actions per month, per connector. The number of units a client needs is determined in advance, which allows for clear budgeting, as costs will not fluctuate unpredictably from month to month. ## Pricing Fixed monthly plans based on the number of data flows (pipelines) active. Not metered by rows, API calls, or number of connectors. Free trial available without a credit card. Plans: Starter, Professional, Enterprise. All plans include all connectors and destinations. See https://www.dataddo.com/pricing for current plan details. ## Supported Connectors (sample) Sources: Salesforce, HubSpot, Pipedrive, Google Analytics 4, Facebook Ads, Instagram Ads, LinkedIn Ads, Google Ads, Microsoft Ads, Shopify, WooCommerce, Stripe, Recurly, Zendesk, Freshdesk, Jira, GitHub, Snowflake, BigQuery, PostgreSQL, MySQL, SQL Server, MongoDB, and 400+ more. Destinations: Snowflake, Google BigQuery, Amazon Redshift, PostgreSQL, MySQL, Google Sheets, Looker Studio, Amazon S3, Azure Blob Storage, and more. Full list: https://www.dataddo.com/connectors ## Security & Compliance - SOC 2 Type II certified - GDPR compliant - Data encrypted in transit (TLS) and at rest (AES-256) - No data stored by default - data flows directly from source to destination - EU data residency available - Role-based access control - Audit logs ## Case Studies - Wärtsilä (industrial manufacturing): Centralized IoT and ERP data, eliminated manual reporting - Ogilvy (marketing agency): Automated multi-client marketing analytics pipelines - SAT-7 (non-profit media): Unified donor and audience data across platforms - UberEats: Marketing performance data automation - KAARISMA (recruitment): Saved 1 FTE and 90% of time on data management, enabled AI analytics - Ringside.ai: Built data product 3x faster, saved 2-3 FTE Full list: https://www.dataddo.com/case-studies