SkySQL serves as our transactional layer where we store metadata for all our applications before moving data into our Snowflake database. We receive transactional data from various applications, store it first in SkySQL, then transform it, load it into an S3 bucket, and finally into Snowflake for reporting purposes.We chose SkySQL because Snowflake is used only for reporting and does not have a transactional layer. Previously, we used a SQL Server database before migrating to SkySQL. We load transactional data first because SkySQL is fully managed in the cloud, eliminating concerns about scalability or performance. We often receive high volumes of transactions from applications, which made SkySQL an ideal choice. After loading all transactional data into SkySQL, we convert that data into aggregate formats for further reporting.
Data and Integration Specialist at a tech vendor with 10,001+ employees
Real User
Top 5
Jun 3, 2026
I have used SkySQL for database management, curing, and supporting data-driven applications. Our main use case for SkySQL is database management and data analytics. We use SkySQL to store, manage, and query application data efficiently, and it is helping us to generate reports and support business decisions. In our project, we use SkySQL to store customer and transaction data. We run queries to generate reports, analyze trends, and track key business metrics, which helps the team make data-driven decisions.
SkySQL is a highly advanced database management service designed to enhance deployment versatility, scalability, and powerful analytical capabilities, tailored for modern enterprises.SkySQL provides a cloud-native experience focusing on ease of management, high-performance analytics, and improved operational processes. The service seamlessly integrates with diverse ecosystems, offering both flexibility and broad operational coverage while supporting modern technological environments. With...
SkySQL serves as our transactional layer where we store metadata for all our applications before moving data into our Snowflake database. We receive transactional data from various applications, store it first in SkySQL, then transform it, load it into an S3 bucket, and finally into Snowflake for reporting purposes.We chose SkySQL because Snowflake is used only for reporting and does not have a transactional layer. Previously, we used a SQL Server database before migrating to SkySQL. We load transactional data first because SkySQL is fully managed in the cloud, eliminating concerns about scalability or performance. We often receive high volumes of transactions from applications, which made SkySQL an ideal choice. After loading all transactional data into SkySQL, we convert that data into aggregate formats for further reporting.
I have used SkySQL for database management, curing, and supporting data-driven applications. Our main use case for SkySQL is database management and data analytics. We use SkySQL to store, manage, and query application data efficiently, and it is helping us to generate reports and support business decisions. In our project, we use SkySQL to store customer and transaction data. We run queries to generate reports, analyze trends, and track key business metrics, which helps the team make data-driven decisions.