Metazoa Monarch - Relational Data Migration
Monarch helps admins and developers complete complex data migrations that simple loaders cannot handle. BUILD DATASETS • Extract connected parent and child records from a source org with filters. Features include field selection, record limits, templates, size estimates, and Bulk API processing. MIGRATE DATASETS • Load those records into a destination org while preserving relationships, matching records with IDs, External IDs, standard fields, and Virtual IDs, preventing duplicates, and supporting upsert, delete, retry, serial, and parallel modes. MANAGE DATASETS • Prepare data before the move with CSV and XML import, dataset comparison, object overview, field and value remapping, external ID creation, range cutting, dataset sharing, and missing record analysis. Monarch is built for sandbox seeding, test data refresh, backup, archive, disaster recovery, org splits, org clones, org mergers, CPQ moves, FSL data, and large org transformation projects. Sensitive values can be scrambled, transformed, or remapped. Automation can be deactivated during migration and safely restored. Error logs, retry datasets, and AI troubleshooting help teams fix data problems at scale.
Top keywords
- org6×3.64%
- data5×3.03%
- datasets4×2.42%
- ids3×1.82%
- records3×1.82%
- dataset2×1.21%
- external2×1.21%
- field2×1.21%
- monarch2×1.21%
- record2×1.21%
- retry2×1.21%
Flosum Backup & Recovery Solution
Why Flosum Native Backup and Recovery Solution? Flosum allows you to stay in control of your data and restore data immediately to minimize downtime. It is almost inevitable that an organization will at some point lose important data due to human error, security breaches, process error, or bad code. Flosum Data Backup Solution will keep your organization’s data safe, secure, and available to restore at a moment’s notice. Flosum uses file storage to backup your data, making it an effective and affordable solution to eliminate data loss. Full, incremental, or ad hoc data backup options allow you to save any portion of your data based on any given criteria. Automate your recurring data backups, schedule them in advance, or manually back up your data. Compare between previous versions of relational backup data, analyze, and choose which records to restore or restore the entire hierarchy of the dataset. Maintain all parent-child data and metadata relationships between current and restored data.
Top keywords
- data14×8.70%
- backup5×3.11%
- flosum4×2.48%
- restore4×2.48%
- between2×1.24%
- data backup2×1.24%
- error2×1.24%
- organization2×1.24%
