Best Data Warehouse Software for Ortto

Find and compare the best Data Warehouse software for Ortto in 2025

Use the comparison tool below to compare the top Data Warehouse software for Ortto on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Weld Reviews

    Weld

    Weld

    €750 per month
    Your data models can be created, edited, and organized. You don't need another data tool to manage your data models. Weld allows you to create and manage them. It is packed with features that make it easy to create your data models: smart autocomplete, code folding and error highlighting, audit logs and version control, collaboration, and version control. We use the same text editor that VS Code - it is fast, powerful, and easy to read. Your queries are organized in a searchable and easily accessible library. Audit logs allow you to see when and by whom the query was last updated. Weld Model allows you to materialize models as views, tables, incremental tables, and views. You can also create custom materializations of your design. With the help of a dedicated team, you can manage all your data operations from one platform.
  • 2
    Lyftrondata Reviews
    Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.
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