All the processes used to prepare the data in a suitable format to perform the analysis are called ETL (Extract, Transform and Load) and Alteryx is software that makes this ETL process easier. Users can build their workflows, which are also called pipelines, in Alteryx by blending and preparing data without any programming skills. It aims to speed up the data preparation process with drag and drop workflows and data cleansing techniques to produce pipelines to cleansed, formatted data.
After finalizing a workflow in Alteryx, it is “published” for downstream consumption. Published work streams are the pipelines to cleansed data. The work streams can be exported to places such as cloud data platforms, directly to Tableau, or they can be stored in a file.
Alteryx’s purpose is to have BI teams spend less time preparing data and invest more time analyzing data within Tableau.
Neebo makes the analyst’s job easier, more efficient, and build’s knowledge and collaboration for the entire analytics team. Neebo is a SaaS offering that gives analytics teams easy access to all of the enterprise data and analytics assets—regardless of type or location, and lets them discover, find, create, share, and collaborate on these analytics assets, building knowledge and trust along the way.
As organizations generate more analytics assets, many teams struggle to make sense of their landscape —for example, what assets are available for analytics teams to not only use use but also reuse? Neebo provides that collaborative environment where teams can share and reuse assets, collaborate to form new assets, and increase knowledge using familiar social media-like features and AI-augmented information about assets utilization.
Neebo provides a single place where analytics teams can quickly discover all these analytics assets and understand which best solve their problem. Analysts and data scientists can search, find and use more assets in their analysis to quickly produce actionable results.
Neebo has AI-augmented “prep” features to sharpen data for an analysis – actions like blends, filters, simple modeling, and even JSON transformations. Alteryx builds the data and creates executable pipelines to fill with data. You can see where there is some common ground however, there are differences between the two offerings:
Facilitates agile ad-hoc analysis.
Neebo is a direct query engine.
Integrates with a wide spectrum of upstream and downstream BI applications (Tableau, Looker, Python).
Reads output from any data prep tool for use on any operating system.
Creates operational data used to feed reports.
Creates data pipelines that are run on schedules.
Connects to Tableau for visualizations.
Requires Windows to run.
Use Alteryx to combine and model large, complex datasets and its ETL engine, to build and schedule data pipelines. With Neebo, all of your Alteryx data is automatically available with no additional development costs or maintenance required. Explore all the pipelines in Neebo for fast ad-hoc analytics to confidently answer all those questions you have in front of you.
So much data is stored on local computers. Use local data with your pipelines to make the whole analysis process better – and effectively use more of your data. Use Neebo to connect to any data source, from your entire data lake, to Alteryx pipelines, to a simple spreadsheet on your computer. Enrich Alteryx’s data pipelines with supplemental data to find the knowledge you need to be successful.
Close the gap between departments using Neebo’s built-in social collaboration and chat tools. And since Neebo is cloud-based, you and your team can access all analytics resources from any OS. Neebo connects natively with not only Tableau, but other BI platforms such as Looker, Google Sheets, Excel, Power BI, and even Python notebooks so you can work with those Alteryx pipelines in whichever BI tool you prefer.