All in one platform
Data Transformation for Everyone
From business users to IT with simple Drag & Drop UI
AGx Data Preparation Engine
Easy to transform the data, which means you have the power of SQL without having to understand the language. With our drag & drop UI experience, people of any skill levels can cleanse, combine, and transform data sets, all without knowing SQL.
Combine Data Sources.
Combine data sets with different schemas by joining complex data sets. Get alerts when data transform fails
or processed successfully.
ABI's AGx can aggregate billions of rows in just minutes, offers flexible cross-data set comparisons.
Quickly join MySQL, Redshift, CSV, Excel, and hundreds
of other data sources.
Deploy your own custom code once, then automatically apply your business logic every time data updates.
NO code to Build Data Pipelines
ABI's AGx data prep - Simply drag and drop datasets and connections. AGx ETL allows you to visualize your data flows and preview operations on the fly.
Build your data pipelines directly in the ABI platform with our proprietary Integration AGx Prep.
Schedule your data pipeline to execute automatically, either on a set schedule or when inputs are updated.
Add, combine, map values and filter rows in your dataset from one column to another.
Combine data the way you want, connect all of your data into ABI, and can manipulate it as need to. Combining Large data sets is simplified using SQL dataflows
Write SQL & refine scripts directly in ABI. Experts comfortable with SQL languages will appreciate the flexibility of the ABI SQL editor.
Use SQL for subqueries, advanced joins, and sub-selects.
Unlock the Data Scientist in YOU
ABI’s AGx ETL features to help you prepare and create advanced data Integrations with predictive data models,
Experts in R or Python can use their existing tools to complete processing on a dataset directly as part of AGx data processing.
Discover new insights with built-in data science to build statistical models, including Classification, Forecasting,
You don't have to be DATA scientist to Apply Machine Learning Algorithms (AI-ML).
Plug into your existing architecture
Integrate your existing tools with the ABI platform.