# SDV Enterprise Version 0.20.0 - Introducing SDV Bundles

**URL:** <https://forum.datacebo.com/t/sdv-enterprise-version-0-20-0-introducing-sdv-bundles/365>\
**Category:** Release Notes\
**Created:** [November 19, 2024, 5:00am UTC](https://forum.datacebo.com/t/sdv-enterprise-version-0-20-0-introducing-sdv-bundles/365 "2024-11-19T05:00:00Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![neha](https://yyz2.discourse-cdn.com/flex030/user_avatar/forum.datacebo.com/neha/32/15_2.png) [@neha](https://forum.datacebo.com/u/neha)\
**Post date:** [November 19, 2024, 5:00am UTC](https://forum.datacebo.com/t/sdv-enterprise-version-0-20-0-introducing-sdv-bundles/365/1 "2024-11-19T05:00:00Z")

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_Release Date: November 19, 2024_

With this release, we are introducing [**SDV Bundles**](https://docs.sdv.dev/sdv/reference/explore-sdv#sdv-bundles) for the first time. SDV Enterprise users will have the option to purchase one or more bundles that take your synthetic data to the next level — whether it’s more powerful modeling features, or adding complex, multi-table business logic. We’ve got you covered!

🌟 **Constraint Augmented Generation (CAG).** Take constraints to the next level. CAG is a new system that allows you to input business logic into your complex, multi-table schemas. For example, CAG allows you add [CompositeKeys](https://docs.sdv.dev/sdv/reference/constraints/constraint-augmented-generation-cag/compositekey) (and related relationships), and [define specific rules](https://docs.sdv.dev/sdv/reference/constraints/constraint-augmented-generation-cag/primarytoprimarykeysubset) about when data is allowed to be connected. For more information, visit the [CAG Bundle page](https://docs.sdv.dev/sdv/reference/explore-sdv/cag-bundle).

🌟 **XSynthesis.** Go the eXtra mile with your synthesis. This bundle includes enhanced synthesizers and transformers to improve your synthetic data quality and performance. For example, the [XGCSynthesizer](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/xgcsynthesizer) allows you to choose from 100+ column shapes, and the [SegmentSynthesizer](https://docs.sdv.dev/sdv/single-table-data/modeling/synthesizers/segmentsynthesizer) is optimized for highly segmented datasets. For more information, visit the [XSynthesis Bundle page](https://docs.sdv.dev/sdv/reference/explore-sdv/xsynthesis-bundle).

**SDV Bundles are currently in Limited Availability.** At this time, select SDV Enterprise users are able to use bundles and provide feedback. We are continuing to add features to the bundles and expand availability over time. _If you’d like access to any of the bundles, please reach out to us._

_Additional updates for SDV Enterprise users_

- _[Simulate performance](https://docs.sdv.dev/sdv/multi-table-data/modeling/performance-estimates) of multi-table synthesizers on large datasets using only your metadata. Get detailed breakdowns over how different synthesizers will be able to preprocess, train, and sample synthetic data._
- _Evaluate the performance of multi-sequence data using [SequenceLengthSimilarity](https://docs.sdv.dev/sdmetrics/metrics/metrics-glossary/sequencelengthsimilarity) and [StatisticMSAS](https://docs.sdv.dev/sdmetrics/metrics/metrics-glossary/statisticmsas) metrics._