CockroachDB database services.
CockroachDB is a distributed SQL database built on a Spanner-inspired architecture with native PostgreSQL wire-protocol compatibility. It utilizes Raft consensus per key range, multi-version concurrency control (MVCC), and automatic sharding to deliver horizontal scale, multi-region active-active writes, and strict serializable transaction isolation. JusDB provides CockroachDB DBRE: range hotspot mitigation, transaction contention profiling, multi-region locality design, MOLT migrations, and agreed incident response, with 24x7 on-call available.
Multi-region active-active tables, Raft replication per key range, serializable isolation by default, and PostgreSQL wire-protocol compatibility — distributed SQL designed by ex-Google engineers around the Spanner architecture.
CockroachDB · multi-region
Raft consensus · RF=3 · 3 regions
2.24k
7ms
4.8k
27%
Cluster Throughput
15.20k QPS[OK] kv: range split + rebalance complete, 3× replicas
[INF] raft: leadership stable across us-east/us-west
[OK] gossip: cluster membership converged, 9 nodes
[INF] kv: lease transfer to nearest region for reads
Example monitoring view showing database activity and engineer actions. Uses sample data, not customer data.
24
Supported database technologies
24x7
On-call coverage, under your service agreement
30 min
P1 initial-response target on 24x7 on-call
2 to 4 h
Initial-response target in covered business hours
Considering CockroachDB?
- ▸ Multi-region active-active requirement just landed — regulator or DR architecture wants true active-active writes across regions, and single-primary Postgres with logical replication doesn't cleanly answer it.
- ▸ CockroachDB Cloud quote came in 3x expected — team needs an honest TCO model for steady-state usage against self-managed and against alternatives (TiDB, YugabyteDB, Aurora Postgres).
- ▸ "Drop-in Postgres replacement" claim needs validation — you need someone to surface which Postgres features actually transfer and which ones break in production.
JusDB CockroachDB specialists design, migrate, and operate distributed-SQL workloads. See CockroachDB consulting →
What we build with CockroachDB
From cluster design to multi-region cutover — end-to-end CockroachDB expertise.
Multi-Region Active-Active
Native multi-region tables with locality controls — survivability against region or rack loss, with serializable consistency guarantees and predictable cross-region latency.
Distributed SQL Architecture
Spanner-style Raft replication per key range, automatic sharding, online rebalancing — horizontal scale without sharding logic in the application layer.
Postgres Wire-Protocol Compatibility
Existing Postgres clients, ORMs, and tooling work unchanged. SQL DML is highly compatible; DDL gaps are explicit and worked around at design time.
Always-Serializable Isolation
Default isolation is Serializable — no Read Committed footguns. Workloads that need it get it; those that don't accept the contention cost with eyes open.
Online Schema Changes
DDL operations run online — ADD COLUMN, CREATE INDEX, ALTER TYPE all without blocking application traffic at scale.
CockroachDB Cloud Operations
Serverless (consumption-based) or Dedicated (single-tenant) on AWS, Azure, GCP — managed HA, backup, restore, and observability without operator workload.
Distributed SQL tuned for latency
We tune locality-aware query placement, follower reads, and key-range distribution so multi-region workloads stay fast — serializable isolation without the contention surprises.
Query Performance
After tuningIllustrative health scores · results depend on the workload
CockroachDB Production Failure Modes
Distributed SQL engines with strict serializable isolation fail differently than single-node relational databases. Here is how JusDB diagnoses and permanently eliminates CockroachDB's most complex production bottlenecks.
Transaction Retry Storms & 40001 Contention Deadlocks
Under heavy concurrent write contention on shared ranges or secondary index keys, CockroachDB's strict Serializable isolation triggers cascading TransactionRetryWithProtoRefreshError (SQLSTATE 40001) failures, exhausting client connection pools and locking up application throughput.
Audit contention traces via crdb_internal.transaction_contention_events, implement client-side exponential backoff jitter with savepoints, refactor read-modify-write queries to atomic UPDATE ... RETURNING, and tune latch queues.
Monolithic Sequential Key Write Hotspots
Tables with auto-incrementing integer or timestamp primary keys concentrate all insert traffic onto a single Raft leader range, saturating the hosting node's CPU and disk write bandwidth while companion nodes remain idle.
Implement synthetic hash bucketing via shard_by_hash(pk, 8), transition sequential keys to UUIDv4 or composite keys, and pre-split ranges (ALTER TABLE ... SPLIT AT) ahead of anticipated volume spikes.
Cross-Region Consensus Latency Drag & Leaseholder Thrashing
Multi-region tables configured without explicit locality rules route Raft consensus proposals across continental WAN links, increasing commit latencies from 5ms to over 250ms and causing leaseholder heartbeats to flap under packet jitter.
Partition tables using REGIONAL BY ROW and GLOBAL topologies, establish zone-aware leaseholder preferences aligned with user traffic geographies, and calibrate kv.range_merge.queue_interval to stop range thrashing.
Production CockroachDB Diagnostic Runbooks
Non-blocking internal telemetry queries executed by JusDB DBREs during incident triage to isolate transaction contention, serialization retries, and range leaseholder imbalance.
Identifies contentious SQL statements, lock wait times, and transaction retry frequencies causing serializable isolation rollbacks.
-- Inspect active and recent transaction contention hotspots SELECT waiting_txn_id, blocking_txn_id, transaction_name, duration FROM crdb_internal.transaction_contention_events ORDER BY duration DESC LIMIT 20; -- Verify client transaction buffer size to prevent memory stalls SHOW TRANSACTION BUFFER SIZE;
Surfaces node-level range distributions, hot leaseholders handling excessive read traffic, and ranges with unassigned replicas.
-- Inspect range and leaseholder distribution per node SELECT node_id, range_count, lease_holder_count, live_bytes FROM crdb_internal.kv_node_status; -- Detect ranges failing 3-way Raft consensus replication quorum SELECT count(*) AS under_replicated_ranges FROM crdb_internal.ranges WHERE array_length(replicas, 1) < 3;
Queries we've transformed
Illustrative examples of the problem and the fix, not client measurements.
4,100ms
9ms
Sequential keys on one un-sharded range
The fix
CREATE INDEX ... USING HASH WITH BUCKET_COUNT = 16
320ms
11ms
Reads bouncing to leaseholder across regions
The fix
Locality-aware placement + AS OF SYSTEM TIME follower reads
8,600ms
21ms
Full scan — 6.4M rows, no covering index
The fix
Added secondary index on (tenant_id, status)
3/3
Nodes live
~0s
Region-fail RTO
RF=3
Replication Factor
Always on. Raft-engineered.
Raft replication per key range with majority commit, automatic rebalancing, and survivability against region or rack loss. Availability targets are agreed per workload and written into your service agreement.
A hot-range P1, answered within your agreement's target.
When a write hotspot overloads a single range or a contention storm stalls transactions, a named CockroachDB engineer responds — not a ticket queue. We split ranges and rebalance online.
p99 latency spike; one hot range overloading a node
A named CockroachDB engineer responds within your agreement's initial-response target
Sequential keys piling onto a single range
Hash-sharded index on the sequential key; follower reads for stale-tolerant queries
Load spread across ranges and p99 back to baseline; post-incident review
Pre-Migration Assessment
PostgreSQL / Oracle → CockroachDB (PG-wire)
Estimated cutover window: < 10 minutes
Move to CockroachDB with a rehearsed cutover
PostgreSQL → CockroachDB. We audit the schema for DDL gaps first, design replacement patterns, move data with MOLT logical replication, and validate parity before cutover.
CockroachDB DBRE: Evaluation Matrix
How JusDB specialized CockroachDB reliability engineering compares against CockroachDB Cloud default support, internal DevOps generalists, and generic DBAs.
| Evaluation Vector | JusDB CockroachDB DBRE | CockroachDB Cloud | In-House Generalists |
|---|---|---|---|
| Multi-Region Locality & Range Distribution | REGIONAL BY ROW, GLOBAL, & REGIONAL BY TABLE topologies; zone configs & Raft leaseholder placement eliminate cross-WAN roundtrips | Standard regional topologies available, but lacks deep query-specific table partitioning and automated leaseholder rebalancing | Default range distribution without locality rules, incurring 200ms+ cross-region WAN consensus roundtrips on standard reads |
| Transaction Contention & Serializable Isolation | Contention forensics via crdb_internal, lock-free schema patterns, retry-loop client calibration, and latch queue elimination | DB Console visualizes contention traces, but provides no hands-on query rewriting or application transaction refactoring | Application outages caused by unhandled 40001 serialization failures (retry_transaction) during high concurrency bursts |
| Range Splitting & Hotspot Remediation | Automated range splitting (ALTER TABLE SPLIT AT), synthetic hash prefixing on sequential keys, and rebalance queue tuning | Default 64MB automatic range splitting, but sequential primary keys still create acute single-node write hotspots | Sequential integer PKs concentrating write traffic onto a single Raft leader range, starving node CPU and storage IOPS |
| PostgreSQL DDL Compatibility & MOLT Migration | Full pre-migration DDL gap audit (inheritance, triggers, extensions), MOLT logical replication pipelines, and low-downtime cutovers | Self-service MOLT tools provided, but no hands-on remediation for incompatible PostgreSQL extensions or procedural code | Surprised by unsupported Postgres features during cutover; high rollback rate and extensive application code rewrites |
| Incident Response & Escalation | Named CockroachDB engineers join your incident bridge. Initial-response targets: 2 to 4 hours in covered business hours; 30 minutes for P1 incidents with 24x7 on-call. Targets, not resolution guarantees. | Tiered cloud ticketing with 1 to 2-hour response targets on premium enterprise support tiers | Developer alert fatigue from false range leaseholder warnings and complex Raft consensus quorum debugging at 2 AM |
| Disaster Recovery & Chaos Drills | Chaos engineering failover drills (AZ & region termination) on an agreed cadence, PITR backup verification to S3/GCS with validated restores | Automated cloud snapshots, but automated cross-region chaos testing and external recovery failovers are self-managed | Untested backups; undefined RTO/RPO expectations when an entire cloud availability zone or region degrades |
CockroachDB service paths
CockroachDB Consulting
Multi-region table design, Postgres-vs-CockroachDB decisions, MOLT migration planning, CockroachDB Cloud Serverless vs Dedicated sizing — written architecture documents, not Slack opinions.
Learn moreCockroachDB Migration
PostgreSQL → CockroachDB execution — schema audit for DDL gaps, MOLT logical replication, parity validation, and cutover to CockroachDB Cloud Serverless, Dedicated, or self-managed targets.
Learn morePostgreSQL vs CockroachDB
Side-by-side comparison — wire-protocol compatibility, horizontal scale, multi-region active-active, serializable isolation cost, when distributed SQL pays off vs single-primary Postgres.
Learn moreCockroachDB — common questions
Ready to evaluate CockroachDB?
Book a 30-minute scoping call. We'll discuss your workload, the multi-region requirements, and the shape of the right engagement before any statement of work.
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