Tested cutover playbooks with MOLT Verify gates
CockroachDB Migration Services
In short: A CockroachDB migration moves PostgreSQL, Oracle, or MySQL onto distributed SQL via the MOLT toolkit — schema and application audits, MOLT Fetch bulk load, MOLT Replicator CDC, and MOLT Verify row-level parity — plus multi-region table rollout and Cloud onboarding, all with replication-lag-monitored cutovers and rollback gates.
PostgreSQL / Oracle / MySQL → CockroachDB via MOLT toolkit, multi-region table rollout, self-managed → CockroachDB Cloud onboarding, version upgrades — with replication-lag-monitored cutovers and rollback gates. See CockroachDB consulting for the architecture-decision phase.
JusDB plans CockroachDB migrations from PostgreSQL, MySQL, and Oracle. The cutover window is planned and rehearsed, and JusDB does not promise one cutover duration. JusDB DBREs use CockroachDB MOLT (Migrate Off Legacy Technology) tooling, including MOLT Schema Conversion, MOLT Fetch parallel loading, and MOLT Replicator continuous CDC synchronization, with data verified before the cutover.
Sound familiar?
- ▸ Postgres → CockroachDB via MOLT — the migration is approved and MOLT is the canonical toolkit, but the schema-audit + application-tier-retry-handling scope needs design.
- ▸ Multi-region rollout — single-region CockroachDB is in production but the REGIONAL BY ROW topology rollout for data-residency needs a runbook.
- ▸ Self-managed → Cloud — Cloud Dedicated economics look favourable, but the configuration migration + cutover sequence need planning.
JusDB CockroachDB migration team delivers tested cutover runbooks with MOLT Verify gates. Request a CockroachDB migration scoping call →
CockroachDB migrations we handle
Each path has a tested runbook — MOLT-driven cutover, replication-lag gating, defined rollback procedure.
PostgreSQL → CockroachDB
Canonical migration via MOLT toolkit. Schema audit (DDL gaps), application audit (Read Committed assumptions, retry handling), bulk Fetch + Replicator continuous CDC + Verify parity validation.
Oracle → CockroachDB
Less common but viable when distributed-SQL is a hard requirement. MOLT Schema Conversion + manual PL/SQL rewrites + retry-handling integration. Postgres-as-intermediate sometimes simpler.
MySQL → CockroachDB
MOLT supports MySQL source. Schema conversion + application-tier rewrites (Postgres-protocol vs MySQL-protocol). Usually paired with broader application modernisation.
Single-Region → Multi-Region
REGIONAL BY ROW topology rollout, replica placement for survival goals, application routing updates. Per-table rollout rather than cluster-wide.
Self-Managed → Cloud
CockroachDB Cloud Serverless or Dedicated onboarding. Same engine, configuration + region migration. Sustained-scale workloads may stay self-managed for economics.
Version Upgrades
Cross-major CockroachDB upgrades with cluster-wide compatibility validation, rolling node upgrade, online schema-change behaviour testing.
How JusDB CockroachDB Migration compares to alternative models.
Standard cloud migration tools and generalist IT agencies lack deep CockroachDB MOLT tooling expertise, distributed consensus tuning, bit-level checksum parity, and continuous DBRE reliability ownership. Here is how our CockroachDB migration specialists compare:
| Evaluation Vector | JusDB DBRE | In-House DBA | Legacy Agency | Developer Generalist |
|---|---|---|---|---|
| PostgreSQL to CockroachDB SQL & Dialect Conversion | Systematic translation of PostgreSQL DDL, converting SERIAL sequences to UUIDs/hash-sharded keys, rewriting PL/pgSQL stored procedures into application logic, and replacing unsupported extensions with distributed primitives. | Performs basic pg_dump schema imports; hits immediate syntax errors on unsupported Postgres extensions, table inheritance, and unsupported index types. | Uses generic automated SQL converters that omit CockroachDB primary key constraints, foreign key cascades, and multi-region table locality configurations. | Attempts drop-in migration relying solely on Postgres wire-protocol compatibility; encounters runtime SQL execution failures on unsupported stored functions. |
| MOLT Fetch Historical Data Streaming Throughput | Configures high-concurrency multi-threaded MOLT Fetch pipelines with custom table chunking, tuned fetch-concurrency, and pre-split ranges for high bulk-load throughput without saturating Raft consensus. | Runs single-threaded MOLT Fetch or sequential COPY commands, dragging initial historical backfills out over weeks and causing source DB replication slot growth. | Exports massive uncompressed CSV dumps to local drives, encountering disk space exhaustion and mid-transfer network socket timeouts. | Writes custom Python/Node.js batch ingestion scripts without retry logic, crashing target node memory and failing on large JSONB payloads. |
| MOLT Replicator Continuous CDC Synchronization | Deploys hardened MOLT Replicator instances with consumer group checkpointing, tuned flush intervals, replication-lag alerting, and automated dead-letter queues for CDC mutation streams. | Operates unmonitored Debezium/Kafka or native replication slots that accumulate WAL on the source PostgreSQL database, risking source database disk exhaustion. | Relies on cron-based batch synchronization with timestamp filtering, missing deleted records and creating multi-hour data drift. | Attempts dual-writing from application services without distributed transaction coordination, resulting in silent data desynchronization and race conditions. |
| Serializable Isolation Transaction Semantic Validation | Validates transaction isolation behavior across all application query paths, replacing Read Committed assumptions, eliminating write skew vulnerabilities, and profiling 40001 retry overhead. | Assumes standard Read Committed concurrency; application threads deadlock or fail repeatedly on transaction retries during high-concurrency cutovers. | Unaware that CockroachDB enforces strict serializable isolation; assumes SQL standard defaults and fails to test concurrent update conflicts. | Disables application-tier retry logic or sets naive retry loops without exponential backoff, causing cascading thread pool exhaustion. |
| Bit-Level Table Checksum & Parity Verification | Deploys MOLT Verify with crdb_internal.table_checksum validation, automated parallel row hashing, continuous schema parity checks, and granular discrepancy reconciliation reports. | Executes naive SELECT count(*) comparisons between source and target, overlooking silent column truncation, floating-point rounding drifts, and timezone shifts. | Spot-checks 50 arbitrary rows via GUI database tools, completely missing silent data corruption across non-indexed tables. | Performs zero checksum verification, discovering missing or corrupted rows only after end-user production transaction failures. |
| Rehearsed Cutover & Fallback Architecture | Designs dual-run shadow traffic validation, rehearsal cutover windows with sub-minute DNS/VIP flip procedures, reverse CDC replication to source, and rehearsed rollback gates agreed in the SOW. | Executes unrehearsed cutovers during maintenance windows without reverse CDC synchronization, making emergency rollbacks impossible without data loss. | Recommends multi-hour hard maintenance downtime windows and relies on unverified manual rollback scripts. | Flips application connection strings directly in production during peak hours without traffic draining, triggering widespread HTTP 500 downtime. |
Critical CockroachDB Migration Risks We Eliminate
Migrating mission-critical relational databases to distributed CockroachDB clusters introduces significant dialect, replication, and concurrency failure modes if not properly validated before cutover. Our DBREs eliminate these production migration risks:
Incompatible Trigger / Stored Procedure Halting Application
PostgreSQL PL/pgSQL triggers, table inheritance, or proprietary extension functions fail to execute in CockroachDB. Unaudited application transactions calling stored procedures crash upon cutover, generating immediate database-level rollbacks.
JusDB performs upfront AST schema parsing with MOLT Schema Conversion, rewrites procedural routines into idempotent application-layer transactions or changefeeds, and validates all DDL dialect compatibility before data streaming.
MOLT CDC Replicator Buffer Overflow During Peak Traffic
During sudden write volume surges on the source database, MOLT Replicator's memory buffers exhaust host resources or replication slots lag behind WAL generation, threatening source database storage saturation and transaction drops.
JusDB provisions tuned intermediate message buffers, sizes Kafka/Debezium replication slots with max_slot_wal_keep_size boundaries, and configures parallel replay worker threads to sustain >50k mutations/sec with sub-second replication lag.
Range Imbalance During Bulk Initial Load
Ingesting terabytes of historical data into empty CockroachDB tables without pre-splitting concentrates write traffic onto a single initial range. The hosting node experiences severe CPU and disk IOPS bottlenecks, stalling bulk import progress.
JusDB pre-splits key ranges across all nodes using ALTER TABLE ... SPLIT AT commands based on source key distributions, disabling automated merge queues during initial load to guarantee linear parallel ingestion throughput.
Our CockroachDB DBREs execute non-blocking system inspections to track bulk import job progress and confirm cryptographic bit-level data parity before executing live production cutovers:
Monitors asynchronous background bulk import jobs, fraction completed, and ingestion throughput across cluster nodes during historical backfill.
-- 1. Inspect active bulk data import job status and progress SHOW JOBS WHEN COMPLETE; SELECT job_id, description, status, fraction_completed FROM [SHOW JOBS] WHERE job_type = 'IMPORT';
Validates bit-level cryptographic table checksums and exact row counts to confirm zero data corruption or divergence before traffic cutover.
-- 1. Verify exact row count and cryptographic bit-level table checksum SELECT count(*), crdb_internal.table_checksum(table_id) FROM [SHOW TABLES] WHERE table_name = 'orders';
CockroachDB migration — common questions
Ready to plan the CockroachDB migration?
Book a 30-minute scoping call. We'll review source topology, design the MOLT cutover sequence, and propose the engagement shape.
Related CockroachDB Services
Explore more ways our CockroachDB experts can help with your database infrastructure.