CockroachDB development company
Krapton designs, migrates and operates CockroachDB databases for products that need SQL with horizontal scale, region survival or data residency, and we handle the parts that catch Postgres teams off guard: retries, hot ranges and multi-region latency.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
CockroachDB development services for distributed SQL
As a CockroachDB development company, Krapton builds the schema, application code and operations around a database that behaves like PostgreSQL on the surface but very differently underneath. CockroachDB runs serializable transactions by default across a cluster that splits data into ranges and replicates each one with Raft, so the costs show up in new places: sequential primary keys create hot ranges, contended rows trigger 40001 retry errors, and a write that must reach a quorum in another region pays that round trip. Our engineers design primary keys with UUIDs or hash-sharded indexes, wrap transactions in retry loops, and choose table localities such as REGIONAL BY ROW or GLOBAL to match how each table is read. We also run the MOLT tools for Postgres and MySQL migrations, set up changefeeds into Kafka, and size clusters on CockroachDB Cloud or self-hosted Kubernetes. If a single-region Postgres instance would serve you well, we will say so.
CockroachDB development services
PostgreSQL to CockroachDB migration
We convert schemas with the MOLT Schema Conversion Tool, replace sequences and SERIAL keys, move data with MOLT Fetch, verify row parity with MOLT Verify, and plan cutover with replication running.
Multi-region database design
We set database regions and survival goals, assign REGIONAL BY ROW, REGIONAL BY TABLE or GLOBAL localities per table, and measure read and write latency from each region before launch.
Data residency partitioning
For GDPR or local data rules, rows are homed by a crdb_region column, and restricted placement or super regions keep replicas inside the permitted geography, with checks showing where each replica lives.
Application and retry logic
Services in Go, Java, Node.js or Python get client-side retry wrappers for 40001 errors, short transactions, idempotent writes and ORM settings tuned for Prisma, Hibernate, SQLAlchemy or GORM.
Changefeeds and CDC
Changefeeds stream row changes to Kafka, Google Cloud Pub/Sub, cloud storage or webhooks, feeding search indexes, caches and warehouses without dual writes in application code.
Cluster operations and tuning
We size nodes, schedule backups to object storage, read the DB Console and statement statistics for slow queries and contention, and plan rolling version upgrades with finalization held until checks pass.
Why teams choose Krapton for CockroachDB
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Postgres habits checked early
Sequential IDs, single-row counters and long-running transactions behave badly on a distributed database. We find these patterns in your code before migration instead of discovering them under production load.
Latency budgets per region
Every multi-region design comes with expected read and write latency for each table locality, so product owners see the tradeoff between survival goals and response time before choosing.
Failure testing, not assumptions
We stop nodes and simulate a region outage in staging to confirm the cluster stays available under the chosen survival goal and that application retries recover cleanly.
Clear licensing and hosting advice
We compare CockroachDB Cloud tiers with self-hosted clusters on Kubernetes, including current licensing terms, operational load and backup responsibilities, so the hosting choice fits your team.
How a CockroachDB project runs with Krapton
01
Workload assessment
We profile your current queries, transaction sizes and contention points, then decide whether CockroachDB fits and which tables need multi-region placement or residency rules.
02
Schema and locality design
Primary keys, secondary indexes, column families and table localities are designed together, then validated with EXPLAIN ANALYZE against realistic data volumes in a staging cluster.
03
Build, migrate, verify
Application changes and data movement run in parallel; MOLT Verify and application-level checks confirm parity before any production traffic moves to CockroachDB.
04
Operate and upgrade
We set Prometheus alerts on range health, latency and contention, schedule backups, and rehearse each major version upgrade in staging before touching production.
The CockroachDB stack we build with
CockroachDB development: questions answered
What does a CockroachDB development company handle that a Postgres team might miss?
Mainly distributed behavior: retries, key design and data placement. A CockroachDB development company plans primary keys that spread writes across ranges, adds retry handling for serialization errors, chooses table localities for multi-region latency, and tests what happens when a node or region disappears. Krapton also reviews Postgres features you rely on, such as specific extensions, since CockroachDB supports much of PostgreSQL syntax but not every extension.
When should we not choose CockroachDB?
Skip CockroachDB when one PostgreSQL primary with replicas covers your load and you have no multi-region or survival requirement. A single-node write is cheaper in latency than a consensus write, and PostgreSQL has a broader extension ecosystem, including TimescaleDB and pg_cron. CockroachDB is also not an analytics engine; large scans and reporting belong in a warehouse fed by changefeeds. It earns its place when downtime or data residency carries real business cost.
How hard is it to migrate from PostgreSQL to CockroachDB?
Usually moderate: most SQL and drivers carry over, but some schema and code changes are unavoidable. SERIAL columns and sequences should become UUIDs or hash-sharded keys, unsupported extensions need replacements, and transactions need retry handling. We run the MOLT Schema Conversion Tool to flag incompatibilities, load data with MOLT Fetch, keep replication running until cutover, and compare both databases with MOLT Verify before switching traffic.
How do you scale CockroachDB without hurting performance?
Add nodes for capacity, but fix contention and hot ranges first, because more nodes do not cure them. We look at the DB Console’s hot ranges and contention views, rewrite transactions that touch the same rows, use hash-sharded indexes for time-ordered keys, and add follower reads with AS OF SYSTEM TIME where slightly stale data is acceptable. Then the cluster rebalances ranges onto new nodes automatically.
What drives the cost of CockroachDB development services?
Scope drives it: the number of services touching the database, how much data moves and how many regions are involved. Migrations from Postgres with heavy stored-procedure use or unsupported extensions take more work than greenfield builds. Multi-region residency rules, changefeed integrations, compliance audits and whether you run CockroachDB Cloud or self-host on Kubernetes all change the effort. Infrastructure and license fees are paid to the provider separately.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.