B2Win Suite 5.2 Released

Key Features

Infor M3 Data Dictionary support

B2Win Suite now provides seamless integration with Infor M3 data dictionaries, enhancing your work with data across multiple ERP systems.

Support for large files and large volumes of data using Apache Parquet

After rigorous testing since October 2022, B2Win Suite officially supports the Parquet format, which enables B2Win Suite to support large files and large volumes of data, ensuring scalability to accommodate growing data needs, faster data analysis and significant savings by optimizing storage and processing resources.

About Parquet: The Parquet format allows fast queries fetching specific column values without reading the full row of data. Parquet has many benefits, such as storing and analyzing large volumes of data, highly efficient column-wise compression, nested data structures support, schema evolution support, high compatibility with OLAP, and various data processing frameworks.

Multithreading support

B2Win Suite now provides multithreading support for managing large volumes of data, large files, and API calls. This enhancement significantly reduces load, processing, writing, and delivery times.

Support for new databases

Snowflake and Databricks are now supported.

"B2Win Suite Backup" now includes B2Data

We're pleased to announce the inclusion of B2Data in B2Win Suite's Backup Management to provide more data protection, simplify administration, and accelerate disaster recovery.

What's New and Improved

B2Output

IMPROVEDOngoing B2Output modules upgrade: As part of our commitment to delivering the best user experience and maintaining up-to-date technology, several critical modules within B2Win Suite have been upgraded from Angular 1.x to the latest Angular version. This upgrade brings improved performance and enhanced security.

IMPROVEDModules upgraded: Business Partners, Email Group, Contacts, Address Books, Logos, Backgrounds, Messages Template

IMPROVEDBug fixes, usability and performance improvements

B2Data Nodes

IMPROVEDMultithreading and large file support added to: Visual Query, Joiner, DataPrep, DB Push, Query In-Memory, CSV Reader

NEWVisualQuery (Data Source) and DBPush (Data Delivery) now support: Snowflake, Databricks, SAP Hanna

IMPROVEDProperties management has been added with improved performance: Properties went through a significant architecture and usability change. Properties can now be managed from a centralized place, making working with tens or even hundreds of properties easier and without losing track.

NEWNew "CSV Writer" node added under the Data Delivery category

NEWNew "Windows Shared File Reader" node added under Data Delivery category (Experimental)

NEWNew "Windows Shared File Copy" node added under Data Delivery category (Experimental)

NEWNew "Parquet File Reader" node added under Data Source category (Experimental)

NEWNew "Order By" node added under Transformation category – apply SQL "Order by" to any node with dataframe output using drag and drop

System Improvements

IMPROVEDOptimized Storage Usage: We optimized the storage by using compression and by reducing the usage with automatic cleaning of historical data with our new auto-cleanup feature in Configurations.

NEWIntroducing Labels: Now, you can easily tag or label workflows, making it easy to organize and filter them in development and production.

IMPROVEDHolistic view for Messages: All system messages, e.g., information, warnings or errors, are now collected under one Messages tab. Clicking messages elsewhere now takes you back to the centralized view for easier tracing.