Amazon Redshift Connector

No-code cloud service for Amazon Redshift integration. Perform ETL/ELT and Reverse ETL, build data pipelines, share data via REST API, etc.

Amazon Redshift

A data warehouse service with massively parallel processing, which is a part of Amazon Web Services.

Trusted by thousands of organizations around the globe


Simple and Easy Data Loading to Amazon Redshift

Learn more about Integration

Skyvia allows users to load your data from cloud apps or in-house databases to Amazon Redshift data warehouse in a few simple steps. Skyvia offers perfect tools for automating data loading from various cloud applications and on-premise databases to Amazon Redshift. You can configure the operation in convenient GUI wizards with no coding and let Skyvia do the rest.

Skyvia supports not just one-time data loading operation. It can help you to integrate your data sources with Amazon Redshift and automate updating your Amazon Redshift with fresh data from your cloud apps with no additional effort or involvement!

With Skyvia you can:

  • Quickly load data from a cloud application or database to Amazon Redshift
  • Automatically keep your Amazon Redshift up-to-date with fresh data from other sources
  • Configure data loading in a few simple steps visually
  • Reduce time, efforts, and costs for data loading

Integrate Data from Various Sources

It's hard to analyze your data when they are spread between various applications. Skyvia can help you to quickly load your data from leading cloud applications to Amazon Redshift, where you can analyze them and get insights.

Skyvia supports loading data from the following cloud apps to Amazon Redshift:

ETL for Amazon Redshift

ETL (Import)

A few years ago, the ETL (Extract-Transform-Load) approach was used to load data to a data warehouse. The data were extracted from data sources, transformed to suit better for data analytics queries, and then loaded to a data warehouse. But with the advent of Cloud Data Warehousing (such as Amazon Redshift), the transformation process is more commonly performed at the data warehouse.

ELT (Replication)

Amazon Redshift provides affordable and nearly unlimited computing power which allows loading data to Amazon Redshift as-is, without pre-aggregation, and processing and transforming all the data quickly when executing analytics queries. Thus, the ETL approach transforms to ELT (Extract-Load-Transform). This may simplify data loading to Amazon Redshift greatly, as you don't need to think about the necessary transformations.

Cloud Data Replication to Amazon Redshift

Cloud data replication to Amazon Redshift has never been easier than with Skyvia. To replicate your data, you only need to specify connections and select objects to replicate. Skyvia will do all other operations for you. It will create the necessary tables in Amazon Redshift automatically and securely load all the data to them in the most efficient way.

If necessary, you can exclude certain fields from replication or configure data filters to replicate only a part of data, satisfying some criteria.

Real-time Data Warehousing

After the first replication, Skyvia can keep the replicated data in Amazon Redshift up-to-date automatically, with no need for any additional effort. Just schedule replication for automatic execution and always have fresh data in Amazon Redshift.

Skyvia does not load all the data every time, it uses Change Data Capture (CDC) to determine and load only the necessary changes from your cloud source to Amazon Redshift.

Replication can be scheduled to run up to once per minute, allowing real-time analytics on your cloud data warehouse.

Data Import to Amazon Redshift

If you need more than just to copy data from a data source to Amazon Redshift, you may use Skyvia’s powerful data import functionality. Skyvia’s data import tools will correctly load data when source and target tables have different structure and offer various transformation features you can perform on the source data before loading them to the data warehouse.

Data Import to Amazon Redshift

Import data with different structure in source and target

Apply various mathematical, string, and logical expressions

Load data from multiple related tables into one target table or vice versa

Use source or target lookups and many other kinds of mapping

Configure import with powerful mapping settings

Import CSV files from file storages and FTP or manually uploaded ones

Load Data from Amazon Redshift

If you ever need to load data from Amazon Redshift, you may use Skyvia's import with Amazon Redshift as a source and any supported cloud app or database as a target. You can also export data from Amazon Redshift to CSV files with Skyvia's export.

Amazon Redshift Data Management

Use the Skyvia Query tool to query and manage your Amazon Redshift data from anywhere — anytime you need to work with your data. Skyvia provides an online SQL editor with visual query builder for Amazon Redshift that allows you to execute SQL statements against Amazon Redshift from your web browser and then view and export returned data.

Sharing Data via API

Skyvia Connect allows you to generate web API layer for your data with no effort. It allows you to publish Amazon Redshift data via SQL API and OData REST API endpoints. In just a few clicks you get a ready-to-use endpoint links that can be used to connect Salesforce to multiple tools and data-oriented applications in real-time.

You can configure sharing to publish all or only a part of Amazon Redshift tables and columns, manage data access via endpoint-specific user accounts, limit access by IP address ranges, and perform detailed logging of all data access operations.

Integrate or query Amazon Redshift data with minimal effort and in only a few clicks!