SQL Azure to Amazon Redshift

Copy (ELT) SQL Azure data to Amazon Redshift in a few clicks and keep it up to date automatically.

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Connect SQL Azure to Amazon Redshift in 3 Steps

Step 1
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Create connections to SQL Azure and Amazon Redshift from your Skyvia account. Sign up for free if don't have an account yet.

Step 2
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If needed, configure replication settings — exclude certain columns, change table naming, apply data hashing, add filters for data.

Step 3
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Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.

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View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.

Connect SQL Azure to Amazon Redshift in 3 Steps

Step 1
Create connections to SQL Azure and Amazon Redshift from your Skyvia account. Sign up for free if don't have an account yet.
Step 2
If needed, configure replication settings — exclude certain columns, change table naming, apply data hashing, add filters for data.
Step 3
Configure scheduling and run replication every month, week or day, at specific time or recurrently at any interval, up to once per minute.
View all the integration runs for any period, get email notifications and detailed per-record error logs in case of errors to help you be aware of the situation.
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step-2
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Easy-to-use ELT Tool

Many businesses want to benefit from the Amazon Redshift ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from SQL Azure and other applications to the Amazon Redshift service for centralized storing and data analysis. Skyvia's Replication is the perfect tool for secure replication to a data warehouse, as it loads data much faster than standard ETL tools and allows you to copy SQL Azure data to Amazon Redshift in just a few clicks and keep this copy up to date.

Powerful Replication Features

Automatic Schema Creation and Update

You don’t need to prepare the Amazon Redshift database — Skyvia creates the tables, corresponding to the SQL Azure tables, in the data warehouse automatically. Besides, it can automatically modify target Amazon Redshift tables according to new columns added in SQL Azure.

Complete or Partial Replication

With Skyvia you can extract and load all the data from a SQL Azure table or disable loading for some SQL Azure columns. You can also configure filters for data to replicate.

Data Hashing

Skyvia allows you to hash sensitive data, like names and emails. You can conceal personally identifiable information for better compliance and preserve analytical value of replicated data at the same time.

Change Data Capture

Skyvia can keep your Amazon Redshift database up-to-date with SQL Azure automatically. For SQL Server, it supports true CDC via Write-Ahead Log. Skyvia also can detect changes using timestamp or autoincrement columns. If table does not have such columns, you can do full resync every time or on demand.

History Mode

History mode allows you to store all versions of SQL Azure records in your Amazon Redshift database instead of keeping only the current versions. You can select the mode for each table separately.

Flexible Table Naming

By default, target tables are named in the same way as in the source. Skyvia offers settings that allow you to change target table names — for all SQL Azure tables in the integration or for each one separately. This is especially useful if you load several SQL Azure instances into the same Amazon Redshift database, and want to use separate tables for them.

Optimized Data Loading

Skyvia combines a high-performance optimized batch data loading into Amazon Redshift with a granular, per-record data insertion and error logging in case of any errors.

True ETL Tools

If you need more than just to copy data from SQL Azure to Amazon Redshift, you may use Skyvia's powerful ETL functionality for SQL Azure and Amazon Redshift integration. Skyvia's Import tool will correctly extract SQL Azure data, transform it, and load to Amazon Redshift when Amazon Redshift tables have different structure than SQL Azure tables. Besides, if you ever need to load data back from Amazon Redshift to SQL Azure, Skyvia Import allows loading data in any direction, supporting Reverse ETL scenario.

For more complex cases, you can use Data Flow and Control Flow tools. They are designer-based solutions for creating complex data pipelines, involving not only SQL Azure and Amazon Redshift connectors, but any number of connectors in one integration. With these tools you can automate data workflows, involving custom logic, complex multistage transformations, combine data from different sources, load them into multiple destinations at once and many more.

Automation and Monitoring

Flexible Scheduling

Use flexible scheduling settings to automate replication

Detailed Logging

You can find detailed logs for each execution in the package Run History.

Email Notifications

Enable email notifications and always know if anything goes wrong.

Why Customers Choose Skyvia

A data platform with a wide choice of tools and flexible pricing that has a solution for nearly any data integration scenario.

platform

Easy to use

No-coding visual configuration allows both IT professionals and business users use Skyvia to integrate their data.

100% cloud

Access Skyvia from anywhere, only web browser required. No local installations and up-front investments.

Flexible Pricing

Skyvia pricing depends on the features you need and data volumes you load. Companies of any size can find a suitable plan.

Skyvia is Top Ranked by Our Customers

Discover the recognition we've earned along the way as we continue our platform's evolution

Gartner Peer Insights

96% customers are willing to recommend Skyvia

4.9/5

g2Crowd

G2 recognized Skyvia as an ETL tools Leader of Spring 2022

4.8/5

Capterra

Featured in Best Ease of Use Integration Software

4.8/5

TrustRadius

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9.5/10

Ready to get started?

Integrate SQL Azure and Amazon Redshift data with minimal effort with Skyvia.

FAQs

Skyvia allows scheduling integrations up to once per minute. It offers advanced scheduling settings, allowing you to run integrations on specific weekdays, within a specific timeframe, etc. You can create almost any kind of schedule you need.
Data integration can make your organization more efficient. It improves data integrity and quality, allows better collaboration and allows making better business decisions.
Skyvia offers data pipeline designer tools like Data Flow and Control Flow that allows including more than two data sources at once. In addition to SQL Azure and Amazon Redshift, Skyvia supports over 180 connectors.
Skyvia has a free pricing plan with basic features for all its products. Free Data Integration plan includes 10 000 records per month for import and export tools.