ScalarDL Roadmap
This roadmap provides a look into the proposed future of ScalarDL. The purpose of this roadmap is to provide visibility into what changes may be coming so that you can more closely follow progress, learn about key milestones, and give feedback during development. This roadmap will be updated as new versions of ScalarDL are released.
warning
During the course of development, this roadmap is subject to change based on user needs and feedback. Do not schedule your release plans according to the contents of this roadmap.
If you have a feature request or want to prioritize feature development, please create an issue in GitHub.
CY2024 Q3
New capabilities
- Generic contracts
- Users will be able to use pre-defined generic contracts to create their applications so that they don't need to create contracts by themselves.
- Better error codes
- Users will be able to see error codes in their logs to identify corresponding issues.
Cloud support
- Container offering in Azure Marketplace
- Users will be able to deploy ScalarDL by using the Azure container offering, which enables users to use a pay-as-you-go subscription model.
- Google Cloud Platform (GCP) support
- Users will be able to deploy ScalarDL in Google Kubernetes Engine (GKE) in GCP.
CY2024 Q4
Usability
- Elimination of out-of-memory errors due to large scans
- Users will be able to issue large scans without experiencing out-of-memory errors.
- Enable read operations during a paused duration.
- Users will be able to issue read operations even during a paused duration so that users can still read data while taking backups.
Cloud support
- Red Hat OpenShift support
- Users will be able to use Red Hat–certified Helm Charts for ScalarDL in OpenShift environments.
- Container offering in Google Cloud Marketplace
- Users will be able to deploy ScalarDL by using the Google Cloud container offering, which enables users to use a pay-as-you-go subscription model.
CY2025 -
New capabilities
- New execution engine for faster transaction execution
- Users will be able to execute requests faster so that they can create ScalarDL applications in a more cost-effective way.