DataAI
Sales enablement for DataAI and DataAI ETL

Sell data analytics that starts working with the data customers already have.

DataAI gives organizations a practical path from database connection to reports, dashboards, charts, maps, statistical analysis, and AI-assisted summaries without building a custom reporting platform from scratch. DataAI ETL brings DataAI data quality, analytics, and matrix balancing functions into the Spark pipelines customers already run on Databricks, AWS, Google Cloud, Oracle, .NET, SSIS, InterSystems IRIS, Talend / MuleSoft, Alteryx, Power BI, and Tableau.

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Two Products, Two Buyers

Start by deciding which product fits the prospect. Many organizations need both: DataAI for the business users who explore data, and DataAI ETL for the engineers who prepare it.

Reporting & analytics application

DataAI

A web application that connects to a customer database and produces reports, dashboards, charts, maps, statistics, and AI-assisted summaries.

  • Buyer: business owners, analysts, managers, and the IT teams that support them.
  • Delivery: hosted service, or installed on the customer's Windows / IIS web server.
  • License: open source under GPL v3.
Register a Company Software Proposal
Spark libraries for data pipelines

DataAI ETL

DataAI functions packaged as Spark JARs and platform packages that run inside the customer's own data pipeline and publish output tables.

  • Buyer: data engineering, data platform, and BI teams.
  • Delivery: evaluation ZIP for non-production use, then a production package through a private repository, portal, or platform-specific feed.
  • License: commercial. Production use requires a written Yanbor LLC commercial agreement, order form, or license certificate.
Platforms & Downloads Function Catalog Production License

What DataAI Buyers Get

DataAI is strongest when the buyer already has operational data but lacks a quick, repeatable way for staff to turn that data into useful reports and analytics.

Speed

Automatic report discovery

DataAI analyzes database structure and creates initial reports and analytics, reducing the time between connection and useful output. DataAILite version works in memory only for more security.

Adoption

Tools for non-programmers

End users can work with reports, charts, dashboards, and analytics without writing SQL or waiting on custom development.

Control

Deployment flexibility

Customers can use DataAI as a hosted service or install the software on their own web server with source-code access. DataAI is open source and licensed under the GNU General Public License v3.0 (GPL v3). Windows 10/11 or Windows Server with IIS required.

What DataAI ETL Buyers Get

DataAI ETL fits when the prospect already runs Spark, or a tool that orchestrates Spark, and wants data quality, analytics, and matrix balancing in the pipeline instead of in a separate application.

Fit

Works in the existing platform

Packages install through each platform's own library, repository, or extension mechanism. Customers keep their Spark runtime, drivers, credentials, accounts, and security configuration.

Low-risk start

Evaluate before buying

Each platform has a customer-ready evaluation ZIP with a SHA-256 checksum, an evaluation license, a smoke test, and an installation guide. Evaluations run in isolated non-production environments only.

Usable output

Results BI tools can read

DataAI ETL publishes output tables that Power BI, Tableau, SSIS, MuleSoft, and other tools read through their existing native connectors. No DataAI .mez or .taco connector is needed.

  • Databricks
  • AWS Glue / EMR
  • Google Cloud Dataproc
  • Oracle AIDP Spark
  • .NET pipelines
  • SSIS
  • InterSystems IRIS
  • Talend / MuleSoft
  • Alteryx
  • Power BI
  • Tableau
Set expectations accurately: the runtime baseline is Java 17, Apache Spark 3.5.0, and Scala 2.12. Production packages are locally built and validated production candidates, not marketplace-certified offers, and external-platform validation is incomplete. Do not describe DataAI ETL as listed on a vendor marketplace. See the Windows prerequisites and the DataAI ETL markets page for platform details.

Sales Paths

Use these entry points depending on where the prospect is in the conversation.

S

Service conversation

For teams that want DataAI configured and supported quickly. Start with the company registration path and validate database access, reporting goals, and users.

P

Software purchase conversation

For organizations that need ownership, local hosting, integration, and source code. Lead with the formal proposal and software overview.

E

DataAI ETL evaluation

For data teams that want to test on their own platform. Point them to the DataAI ETL markets page to pick a platform, check prerequisites, download the evaluation ZIP, and run the smoke test on sample data.

L

DataAI ETL production license

For teams that finished an evaluation and want to run in production. Collect platform and company details through production registration, then agree commercial terms with Yanbor LLC in writing.

Qualifying Questions

These help a sales conversation move quickly from interest to a useful next step.

Where is the data?

Confirm whether the prospect uses SQL Server, MySQL, Oracle, PostgreSQL, InterSystems, ODBC, OleDb, CSV, Excel, or Access.

Who needs reports?

Identify analysts, administrators, managers, and end users who need self-service reporting or repeatable dashboards.

What decision improves?

Anchor the demo around a concrete outcome: faster reporting, better visibility, fewer manual extracts, or richer analytics.

ETL

Which pipeline platform?

Match the prospect to a supported platform and confirm they can supply Java 17, Spark 3.5.0, approved drivers, and credentials.

ETL

Where should results land?

Identify the destination tables and the BI or orchestration tools that will consume DataAI ETL output.

ETL

Evaluation or production?

Evaluation stays non-production. Production needs a written Yanbor LLC agreement, so involve procurement early.

Ready for a DataAI or DataAI ETL sales conversation?

Register a company account, start a DataAI ETL evaluation, request a production license, or send a sales question.

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