Because Moving Data to Snowflake Shouldn't be Tedious or Time-Consuming


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

Simple and Easy Data Loading to Snowflake

Learn more about Integration

Skyvia allows users to load your data from cloud apps or in-house databases to Snowflake data warehouse in a few simple steps. Skyvia offers perfect tools for automating data loading from various cloud applications and on-premise databases to Snowflake. 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 Snowflake and automate updating your Snowflake 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 Snowflake
  • Automatically keep your Snowflake 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 Snowflake, where you can analyze them and get insights.

ETL for Snowflake

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 Snowflake), the transformation process is more commonly performed at the data warehouse.

ELT (Replication)

Snowflake provides affordable and nearly unlimited computing power which allows loading data to Snowflake 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 Snowflake greatly, as you don't need to think about the necessary transformations.

Cloud Data Replication to Snowflake

Cloud data replication to Snowflake 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 Snowflake 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 Snowflake up-to-date automatically, with no need for any additional effort. Just schedule replication for automatic execution and always have fresh data in Snowflake.

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 Snowflake.

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

Data Import to Snowflake

If you need more than just to copy data from a data source to Snowflake, 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 Snowflake

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 Snowflake

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

Snowflake Data Management

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

OData Connector for Snowflake

Skyvia Connect allows you to expose your Snowflake data via OData REST API. This makes the data available for world of tools and data-oriented applications and allows you to integrate your data with other solutions, supporting OData protocol. Skyvia Connect allows you to share all or only a part of Snowflake tables and columns, provides data access control via its own, endpoint-specific, user accounts and IP addresses, and performs detailed logging of all data access operations.

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