Dataddo for Database Replication

Move Data Between Any Databases

Regardless of the technology the databases are based on, 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).

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Database Replication

What Have Our Customers Achieved?

37.5%

reduction

of infrastructure bill
on average

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70%

less

engineering work,
more time analyzing data

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2-3

man-days

per month saved on
pipeline maintenance

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Keep Data Consistent and Available

Popular Replication Scenarios with Dataddo

Data Warehousing

Data Warehousing

Sync data from your production database to a data warehouse, where analytics teams can run complex queries.

Database Migration

Database Migration

Simplify migration between any two databases, on-premise or cloud, without compromising availability.

Disaster Recovery

Disaster Recovery

Ensure all your data is available in multiple physical locations, in case of downtime in one.

Key product benefits

Dataddo for Database Replication

Connectors for Every Database

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.

Cloud Databases
On-Prem Databases
Enterprise Databases
Dedicated Bin Log Connector
See Connectors
Flexibly Deployable

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.

Deployable via UI and API
Infinitely Scalable
Technology Agnostic
Inbuilt Monitoring and Logging
Predictable Pricing
Subscriptions via AWS/Azure/GCP
Cloud & On-Prem Connectivity
Certified and Fully Secure

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.

16 Data Processing Locations
Optional SSH Tunelling
Exclude Personal Information from Extractions
Custom Data Encryption Keys
Single Sign-On (SSO)
AWS/Azure/Google Cloud Private Links
Learn more
World-Class Support

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.

Assisted Onboarding
Dedicated Data Architect
Live Support Around the Clock
Proactive Pipeline Monitoring
Thorough Documentation
Expert Consultancy

One platform to connect all your data

Why Dataddo?

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Simple to Use. Highly Advanced.

Quickly create pipelines via streamlined interface. Easily configure more complex workloads via code.

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Maintenance-Free

Never worry about API changes or pipeline maintenance. Need a new connector? Let us know and we'll build it.

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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.

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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.


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?

Absolutely. Dataddo subscriptions can be managed through accounts with any of the three major cloud providers. See our:

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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