Dataddo for Database Replication
Move Data Between Any Databases
Regardless of their underlying technology, replicate data in near real time from any database to any other database for analytics, migration, and backup. Use snapshot replication and change data capture (CDC).
Database Replication
What Have Our Customers Achieved?
Keep Data Consistent and Available
Popular Replication Scenarios with Dataddo
Data Warehousing
Sync data from your production database to a data warehouse, where analytics teams can run complex queries.
Database Migration
Simplify migration between any two databases, on-premise or cloud, without compromising availability.
Disaster Recovery
Ensure all your data is available in multiple physical locations, in case of downtime in one location.
Key product benefits
Dataddo for Database Replication
Connectors for Every Database
Securely connect to on-prem databases, cloud databases, and enterprise databases like SAP HANA and Oracle. Manage deleted records effectively using our dedicated bin log connector. Don’t see the connector you need? We’ll build it in around 10 business days.
Flexibly Deployable
Dataddo supports full database replications, as well as various methods of change data capture (CDC). Use any combination of these methods on a per-table basis for ultra granular control.
Certified and Fully Secure
Dataddo is SOC 2 Type II certified and compliant with all major data privacy laws around the globe, including ISO 27001, GDPR and DORA for Europe, CCPA and HIPAA in the US, LGPD for Brazil, and POPIA for South Africa.
World-Class Support
Our engineers proactively monitor pipelines and handle API changes, and our Solutions Architects are ready to take a personal interest in your use case. Have special implementation requirements? We’ll provide a tailored support package that includes expert consultancy, guided planning, and flexible licensing.
One platform to connect all your data
Why Dataddo?
Simple to Use. Highly Advanced.
Quickly create pipelines via streamlined interface. Easily configure more complex workloads via code.
Maintenance-Free
Never worry about API changes or pipeline maintenance. Need a new connector? Let us know and we’ll build it.
Future-Proof
Easily scale data volumes, number of users, number of pipelines. 100% predictable pricing. Technology-agnostic.
Here's How Dataddo Works
Create pipelines in minutes via our streamlined, no-code user interface. Don’t want to work through our interface? Access all functionality of the Dataddo platform via our headless API.
See the Dataddo Platform in Action
Click below to book a live demo with one of our experts.
More information
Frequently Asked Questions
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:
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. 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?
Where can I learn more about Dataddo's 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.
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