Compare the Top Data Preparation Software in China as of October 2026 - Page 2

  • 1
    Invenis

    Invenis

    Invenis

    Invenis is a data analysis and mining platform. Clean, aggregate and analyze your data in a simple way and scale up to improve your decision making. Data harmonization, preparation and cleansing, data enrichment, and aggregation. Prediction, segmentation, recommendation. Invenis connects to all your data sources, MySQL, Oracle, Postgres SQL, HDFS (Hadoop), and allows you to analyze all your files, CSV, JSON, etc. Make predictions on all your data, without code and without the need for a team of experts. The best algorithms are automatically chosen according to your data and use cases. Repetitive tasks and your recurring analyses are automated. Save time to exploit the full potential of your data! You can work as a team, with the other analysts in your team, but also with all teams. This makes decision-making more efficient and information is disseminated to all levels of the company.
  • 2
    TROCCO

    TROCCO

    primeNumber Inc

    TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.
  • 3
    Solvexia

    Solvexia

    Solvexia

    Most reconciliation tools are built for simple, structured data. Solvexia is built for the hard cases: high transaction volumes, fragmented data sources, and matching logic that standard tools cannot handle. In high-volume environments, Solvexia automates one-to-many and many-to-many matching, partial matches, and timing differences without manual workarounds, maintaining approximately 99% auto-match rates across complex, multi-source data. Every data source feeds into one automated workflow. ERPs, bank files, payment processors, Excel exports, and APIs are all connected regardless of format or volume. Finance teams configure and maintain workflows themselves, with no IT backlog and no developer dependency. Solvexia is typically implemented in 90 days and is built to scale as transaction volumes grow, without any degradation in performance or match rates.
  • 4
    Verodat

    Verodat

    Verodat

    Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools.