Moving structured records from SQL Server to an ECM requires bridging two fundamentally different data models. Generic ETL tools handle the happy path — AetherFlow handles the reality.
SQL Server schemas with hundreds of tables, custom types, and complex relationships require surgical mapping to ECM metadata fields — a mistake at scale corrupts thousands of records.
Foreign key relationships mean records can't be migrated in isolation. Linked rows must arrive together, in order, with correct parent-child references preserved.
Databases with millions of rows can't be migrated in a single pass. Naive full-table exports time out, corrupt partial loads, and require hours of manual cleanup.
Production systems can't go dark for a migration window. Migrating from a live SQL Server means the source keeps changing — your tool must handle incremental deltas.
1,293 lines of production-grade connector code built on AetherFlow's CDK framework. Not a proof of concept — this has processed millions of rows in live migrations.
Full source AND target support. Use SQL Server as the origin of a migration — or as the destination for archiving documents from an ECM.
Automatically interrogates INFORMATION_SCHEMA to enumerate tables, columns, types, and constraints. No manual schema entry required.
Tracks the last-synced row via configurable high-water-mark columns (e.g., updated_at, row_id). Re-run the flow and only new/changed records are processed.
Processes any table size safely with server-side OFFSET/FETCH pagination — no memory blowout, no timeouts on billion-row tables.
When writing to SQL Server, choose INSERT for clean loads, MERGE for upsert semantics, or UPDATE-only for in-place corrections. Full T-SQL MERGE generated automatically.
If a batch fails at the target, AetherFlow bisects it recursively until the failing record is isolated and logged — healthy records never get blocked.
Visual drag-and-drop column mapping between SQL schema and ECM metadata fields. Supports 11 built-in transforms: cast, format, split, concatenate, lookup tables, and more.
SQL Server types (datetime2, uniqueidentifier, varbinary, xml) are automatically coerced to ECM-compatible formats. Edge cases handled — no silent truncation.
AetherFlow's processing engine runs multiple agents concurrently, each handling a partition of your SQL data. Adaptive rate limiting prevents overwhelming the target ECM, while checkpoint/resume ensures zero re-work on any interruption.
All rows transferred via OFFSET/FETCH pagination
Only rows added/changed since high-water-mark
Last delta + validation — cutover in minutes
Production stays live throughout. Migration runs in the background. Final cutover requires only a brief read-only window measured in minutes — not hours.
Four steps from SQL Server connection to validated ECM migration.
Provide connection details. AetherFlow queries INFORMATION_SCHEMA to discover all tables, columns, and types. Select the tables to migrate — no scripting required.
Use the visual MetaMap™ editor to map SQL columns to ECM metadata fields. Apply type coercions, format transforms, and lookup table substitutions for each field.
Kick off the flow. Multi-agent workers paginate SQL Server in parallel, applying checkpoint/resume so any interruption picks up exactly where it left off.
Automated reconciliation compares source row counts to target records. Every migrated row is logged with checksums for compliance sign-off and audit review.
Any SQL Server source. Any ECM target. AetherFlow connects the two.
Extract structured records from custom SQL databases and import them as OnBase documents with full keyword mapping. INFORMATION_SCHEMA drives automatic field discovery.
Migrate legacy SQL-backed document management systems to FileHold. Schema auto-discovery maps source columns to FileHold metadata schemas with zero manual entry.
Push SQL records into Square9 GlobalSearch cabinets with MetaMap™ mapping to index fields. Incremental sync means migrations run alongside live production traffic.
Consolidating five legacy SQL databases into a single ECM? AetherFlow orchestrates multi-source flows with per-connector configuration and unified progress monitoring.
Migrating from another source database? View all connectors or contact our team.
Start with a free trial. Connect to SQL Server in minutes, map your columns, and run a test migration before committing. No credit card required.