Secure. Flexible. Effortless Cloud Database Migration

  • Move high-volume database data to the cloud with ultra-low latency
  • Easily replicate ongoing changes and configure anything, anytime
SOC II
GDPR Compliant
ISO 27001
HIPAA

Tap into the power of Rivery

Low-impact database migration

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Work with the freshest data.
Use CDC for real-time data synchronization and managed schema drift to identify and handle new changes in the database.

Fine-tuned database migration

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Replicate data with total control.
Use custom query, raw data selection and calculated columns to fine-tune whatever you need.

Robust & secure database migration

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Move data wherever you need.
Use custom file zones or our network with highly secure connections to your source database.

Secure database migration for any type of environment

Whether your database is on-prem or on the cloud, Rivery automates the database data migration process so you can efficiently and securely move data to the cloud.

On-premise

Migrate any on-premise relational database, including Oracle, MySQL, Microsoft SQL Server, PostgreSQL, and MongoDB, to a cloud data warehouse without inefficiencies and busywork.

Cloud

Perform cloud-to-cloud database replication, such as Redshift to Snowflake, and continuously update data changes in real-time.

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Companies like Emmar use Rivery for seamless database migration, pulling in data from 46 different MS SQL Servers, processing over 300GB every week.
Read case study

Migrate to your favorite lake and warehouse

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Let's go
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Pick your database extraction method

Reduce Database load Preferred Possible
Near real time replication Preferred Possible
Replicate deleted rows
Replication without keys Preferred Possible
Point in time replication Possible Preferred
Granular control over the replicated data points Possible Preferred

Arm yourself with database migration best practices

FAQ

What is database data migration?

Database data migration is the process of moving data from the source database to the target database. With Rivery you can migrate high-volumes of data with ultra low latency using Change data capture or SQL.

What is Change Data Capture (CDC)?

Change data capture tracks changes in a source dataset and automatically transfers those changes to a target dataset. Essentially, CDC eradicates the siloization of data. Changes are synced instantly or near-instantly. In practice, CDC is often used to replicate data between databases in real-time.

What is SQL?

Standard SQL is one of the most common programming languages. You can use to it query and choose the data that matters to you. You can set it to pull data based on certain events and intervals like the last time a column was updated, or even specific rows. Learn more here

Which database data extraction is better SQL or CDC?

SQL-based extraction and CDC (Change Data Capture) are the main methods for operational database data extraction. Deciding between the two depends on factors like data freshness, volume, complexity, and specific use cases. Sometimes, using a combination of both can be the most effective approach. Rivery lets you mix and match between the two. Learn more here

Secure database migration

14-day free trial | $1200 free credits | GDPR compliant | HIPPA | SOC II | ISO 27001
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