Best ETL Software in China

ActiveBatch by Redwood makes setting up and launching automation easy with no custom scripting required. With a low-code Super REST API adapter, over 100 pre-built job steps and a user-friendly drag-and-drop workflow designer, you can integrate across any system, application and data source, on-prem, in the cloud or in hybrid environments. Maintain complete control and visibility and meet SLAs with monitoring of all automation from a single pane of glass and get custom alerts via emails or SMS. Managed Smart Queues dynamically scale resources for high-volume workloads, reducing process times while the self-service portal enables business users to run and monitor workflows independently. ActiveBatch meets security and compliance standards, with ISO 27001 and SOC 2, Type II certifications, encrypted connections and regular third-party tests, always keeping security at the forefront. Along with ongoing product advancements, get the added benefit of 24x7 support and on-site training.

iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks. With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.

Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data processes as you scale. Dagster brings a declarative approach to the engineering of data pipelines. Your team defines the data assets required, quickly assessing their status and resolving any discrepancies. An assets-based model is clearer than a tasks-based one and becomes a unifying abstraction across the whole workflow.

Jaspersoft® commercial edition has everything you need to design and deliver any report you need. We’ve spent over two decades perfecting our platform so you can deliver the data visualizations and analytics your customers want, from high volumes of pixel perfect reports to self-service ad hoc reports and more. JasperReports Server provides a drag-and-drop environment that makes it easy to design, distribute and securely manage self-service ad hoc and other reports, dashboards, and visualizations. Jaspersoft Studio features the industry’s most advanced design environment, enabling you to create highly formatted, pixel-perfect designed reports and data visualizations. JasperReports® Web Studio is the web-based version of desktop Jaspersoft Studio. JasperReports IO is a reporting engine designed for modern cloud and microservices architectures allowing you to generate reports that are fast, highly interactive, and seamlessly embeddable into modern web applications.

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline helps you easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. You don’t have to worry about ensuring resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. AWS Data Pipeline also allows you to move and process data that was previously locked up in on-premises data silos.

Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.

ibi Data Migrator is a comprehensive ETL (Extract, Transform, Load) tool designed to streamline data integration across diverse platforms, from on-premises systems to cloud environments. It facilitates the automation of data warehouse and data mart creation, enabling access to source data in various formats and operating systems. The platform integrates multiple data sources into single or multiple targets, applying robust data cleansing rules and logic to ensure data quality. With specialized high-volume data warehouse loaders, users can schedule data updates at user-defined intervals, triggered by events or conditional dependencies. The system supports loading star schemas with slowly changing dimensions and offers extensive logging and transaction statistics for enhanced insight into data operations. Its graphical user interface, the data management console, allows for the design, testing, and execution of data and process flows.