3 Integrations with Omni

View a list of Omni integrations and software that integrates with Omni below. Compare the best Omni integrations as well as features, ratings, user reviews, and pricing of software that integrates with Omni. Here are the current Omni integrations in 2026:

  • 1
    nao

    nao

    nao

    nao is an AI-powered data IDE designed specifically for data teams, combining a code editor with native integration to your data warehouse so you can write, test, and maintain data-centric code with full context. It supports warehouses such as Postgres, Snowflake, BigQuery, Databricks, DuckDB, Motherduck, Athena, and Redshift. Once connected, nao replaces a traditional data-warehouse console by offering schema-aware SQL auto-completion, data previews, SQL worksheets, and the ability to switch easily between multiple warehouses. The core of nao is its AI agent, which has full awareness of your actual data schema, tables, columns, metadata, and your codebase or data-stack context. It can generate SQL queries or full data-transformation models (e.g., for dbt workflows), refactor code, add or update documentation, run data-quality checks and data-diff tests, and even surface insights or run exploratory analytics, all while respecting data structure and quality constraints.
    Starting Price: $30 per month
  • 2
    Alibaba Cloud Model Studio
    Model Studio is Alibaba Cloud’s one-stop generative AI platform that lets developers build intelligent, business-aware applications using industry-leading foundation models like Qwen-Max, Qwen-Plus, Qwen-Turbo, the Qwen-2/3 series, visual-language models (Qwen-VL/Omni), and the video-focused Wan series. Users can access these powerful GenAI models through familiar OpenAI-compatible APIs or purpose-built SDKs, no infrastructure setup required. It supports a full development workflow, experiment with models in the playground, perform real-time and batch inferences, fine-tune with tools like SFT or LoRA, then evaluate, compress, accelerate deployment, and monitor performance, all within an isolated Virtual Private Cloud (VPC) for enterprise-grade security. Customization is simplified via one-click Retrieval-Augmented Generation (RAG), enabling integration of business data into model outputs. Visual, template-driven interfaces facilitate prompt engineering and application design.
  • 3
    DataPostie

    DataPostie

    DataPostie

    DataPostie is a SaaS platform that empowers you to safely and easily monetize or share your data. We connect to and deliver to any data source, type, and destination. Make your data products more valuable, and fast. Turn your data into a revenue generator. Messy data is the number one hurdle companies face in turning their data from a cost center into a revenue generator. While organization-wide data cleaning and data quality are long-term projects, we reduce the time it takes from years to weeks by focusing solely on the data needed for the customer-facing data product and leveraging our data domain expertise. Notable wins include enabling a fashion ecommerce company to build a market benchmarking product for its suppliers by matching millions of different product names across suppliers and building a data model for a financial data provider's messy schema in days.
  • Previous
  • You're on page 1
  • Next