Neebo virtualizes your data landscape and connects to all data sources—including cloud object stores like S3, data lakes, data warehouses like Snowflake, Redshift, Teradata or Exadata, files, or catalogs—both in the cloud or on-premises. Neebo indexes the metadata of every data source and creates a searchable inventory of assets that can easily be mined by analysts and data scientists—all without moving any data. Typical searchable information includes table and column names, authors, characters of uploaded files, usage patterns, trust scores, and more.
Neebo’s virtual modeling capabilities support the most common data transformation functions—like aggregations, filtering, replace/extract, column splits, and JSON parsing—and offer machine learning-guided blend suggestions. A visual point-and-click workbench enables you to accelerate analytics workflows without having to move any data. Beyond that, Neebo’s caching functionality further increases performance.
Neebo’s Collaboration feature allows analysts and data scientists to share knowledge on assets and analytic workflows—helping you build a community along the way. Neebo supports the concept of shared workspaces, including newsfeeds, notifications, tagging, comments, and following, making it easy to find and engage subject matter experts, reuse assets, and develop a framework of trust around people and analytics.
Analysts and data scientists can connect their favorite tools to Neebo—like Tableau, Excel. PowerBI, Looker, Qlik, Spotfire, Jupyter Notebooks, and more. Neebo brokers the queries and executes them in its Spark SQL compute framework or pushes it down to a lower-level system, like a cloud-based or on-prem data warehouse.