CockroachDB vs DynamoDB for Solo Developers

Quick Comparison

CockroachDB Overview

CockroachDB is a distributed SQL database designed to never go down. It's PostgreSQL-compatible, automatically replicates data across nodes and regions, and provides strong consistency guarantees. If a node fails, the others keep serving traffic without interruption. It's the database you'd choose if your application handles financial transactions across multiple continents.

The free Basic tier gives you a working database without cost. You write standard SQL, use Postgres drivers, and most ORMs work without modification. Under the hood, your data is distributed, but for small projects, you don't need to think about that. Cockroach Labs renamed its cloud tiers in 2025, so the old Serverless plan is now Basic and the old Dedicated plan is now Advanced, but the shape of the offer is the same.

The challenge is that CockroachDB's power is also its weakness for solo developers. The distributed architecture adds latency to simple queries. The pricing jump from free to reserved compute is steep, with the Advanced tier starting around $0.60 per vCPU-hour, which works out to hundreds of dollars a month for a small always-on cluster. And the complexity of distributed systems, while hidden, still surfaces in edge cases and debugging sessions.

DynamoDB Overview

DynamoDB is AWS's fully managed NoSQL database promising single-digit millisecond performance regardless of scale. Netflix streams, Lyft rides, and Amazon.com itself run on DynamoDB. The performance at scale is proven.

The 25GB free tier and pay-per-request pricing make it accessible for small projects. If your application does 10 reads and 5 writes per minute, you're paying almost nothing. At scale, you can switch to provisioned capacity for more predictable costs.

The difficulty is the data modeling. DynamoDB is not a relational database. There are no joins. You design your tables around access patterns, which means you need to know how you'll query your data before you write a single row. Single-table design, composite keys, Global Secondary Indexes. It's a completely different mental model from SQL.

Key Differences

SQL vs NoSQL is the dividing line. CockroachDB gives you familiar SQL with joins, transactions, and relational integrity. DynamoDB gives you key-value operations with extraordinary performance but limited query flexibility. If your data is relational, CockroachDB is the natural fit. If it's key-value or document-oriented, DynamoDB works.

Both are overkill for solo developers, just in different ways. CockroachDB solves "I need my database to survive data center failures." DynamoDB solves "I need sub-millisecond reads at millions of requests per second." Neither of these is a solo developer problem. A simple Postgres instance handles most solo projects for years without strain.

Vendor lock-in differs significantly. CockroachDB uses Postgres-compatible SQL. You can migrate to standard Postgres with moderate effort. DynamoDB uses a proprietary API. Migrating away means rewriting your entire data layer. If future flexibility matters (and it should), CockroachDB gives you an exit path.

Cost structures are different. CockroachDB's Basic tier is free until you cross 50 million request units or 10 GiB of storage in a month. DynamoDB's free tier includes 25 GB of storage and provisioned capacity units. Both are usable for small projects. But scaling up tells a different story. CockroachDB's reserved-compute tiers bill by the vCPU-hour, so an always-on Advanced cluster runs into the hundreds of dollars a month. DynamoDB's pay-per-request pricing scales gradually at $0.625 per million writes and $0.125 per million reads, which is gentle at low volume but can surprise you if your access patterns aren't optimized and you fan out into Global Secondary Indexes.

Querying flexibility heavily favors CockroachDB. Need to run an ad-hoc query to understand your data? With CockroachDB, write SQL. With DynamoDB, if you didn't plan an index for that query, you're doing a full table scan (expensive) or you simply can't run that query. For solo developers who are constantly iterating, SQL flexibility is a significant advantage.

The learning curve is steep for both. CockroachDB requires understanding distributed systems concepts to debug production issues. DynamoDB requires mastering a completely different data modeling paradigm. Neither has a gentle ramp for beginners. But at least CockroachDB's SQL syntax is familiar.

By the Numbers (2026)

Marketing copy ages fast, so here is the verified state of both products as of 2026-05-28.

CockroachDB

• Latest version: v25.4.10, released May 1 2026, now on Long Term Support. The v25.4 line first shipped November 3 2025.
• Source and adoption: the core engine is open and written in Go, with about 32,100 GitHub stars and 4,130 forks. The repository is actively maintained, with commits landing the same week this was written.
• Free Basic tier: $0 per month until you exceed 50 million request units and 10 GiB of storage in a billing month.
• Paid compute: Standard starts at $0.18 per hour for 2 vCPUs (Preview), and Advanced starts at $0.60 per hour for 4 vCPUs. New accounts get $400 in trial credits.
• Recent capability worth noting for solo devs building AI features: pgvector-compatible vector search with distributed C-SPANN indexes is now native, so you can keep relational data and approximate-nearest-neighbor search in one database instead of bolting on a separate vector store.

DynamoDB

• No version number. It is a fully managed AWS service that updates continuously, so there is no release you pin to.
• On-demand pricing in US East (N. Virginia): $0.625 per million write request units, $0.125 per million read request units, and $0.25 per GB-month for Standard-class storage. Standard-Infrequent-Access storage is $0.10 per GB-month.
• Free tier: 25 GB of storage, 25 Write Capacity Units, and 25 Read Capacity Units each month, plus 2.5 million DynamoDB Streams read requests. The capacity-unit allowance applies to provisioned mode; on-demand tables bill per request from the first call, though the 25 GB storage allowance still applies.

A fair-warning note on the free tiers. CockroachDB Basic meters by request units and storage, so a chatty app can burn through 50 million RU faster than the headline suggests. DynamoDB's 25 free capacity units are provisioned-mode only, so if you go on-demand for the simpler billing, you pay per request from request one.

Real Cost at Solo-Dev Scale

Pricing pages are abstract, so here is a concrete monthly bill for one realistic solo-dev workload. The numbers below use the real published per-unit rates, and the assumptions are stated so you can swap in your own.

Stated workload. A small SaaS side project with roughly 5 GB of stored data and steady traffic of about 5 reads and 2 writes per second on average. Over a 30-day month that is about 13 million reads and 5.2 million writes. Assume single-item operations under 4 KB for reads and under 1 KB for writes, so each operation is one read or write request unit.

DynamoDB on-demand (US East, N. Virginia).

• Reads: 13M reads at $0.125 per million is about $1.63.
• Writes: 5.2M writes at $0.625 per million is about $3.25.
• Storage: 5 GB at $0.25 per GB-month is $1.25, but the first 25 GB is free, so $0.
• Estimated total: about $4.88 per month, before any Global Secondary Indexes or data-transfer charges.

That is the headline case for DynamoDB at solo scale. Pay-per-request stays near pocket-change until traffic or index fan-out climbs. The trap is GSIs, which each duplicate writes and storage and quietly multiply the bill, so the clean number above assumes a single-table design with no secondary indexes.

CockroachDB. This same workload is small enough to sit inside the Basic free allowance for a while. 18.2 million total operations a month is well under the 50-million-request-unit free ceiling, and 5 GB is under the 10 GiB free storage ceiling, so a bursty side project can legitimately run at $0 on Basic. The catch is the moment you want predictable latency and an always-on cluster rather than a metered Basic instance. The reserved-compute tiers bill by the vCPU-hour, and a small always-on Advanced cluster at $0.60 per 4 vCPU-hour runs roughly $432 a month for a single always-on 4-vCPU node before storage and transfer. That is the cliff the verdict warns about.

Reading the result. At this scale DynamoDB on-demand costs a few dollars and CockroachDB Basic costs nothing, so both win on price if you stay inside their free or metered lanes. The divergence is structural, not numeric. DynamoDB grows smoothly with usage, while CockroachDB stays free until you need guaranteed performance and then steps up to a reserved-compute bill that does not flex down for a hobby project. Recompute with your own read/write mix and storage before committing, because a GSI-heavy DynamoDB schema or an always-on CockroachDB cluster changes these numbers by an order of magnitude.

When to Choose CockroachDB

• You need Postgres-compatible SQL with distributed guarantees
• Data consistency across regions is a hard requirement
• You want the flexibility of SQL queries and relational data
• You prefer to keep an exit path to standard PostgreSQL
• Your application handles financial or compliance-sensitive data

When to Choose DynamoDB

• You're building on AWS with Lambda and API Gateway
• Your access patterns are simple and well-defined
• You need guaranteed sub-millisecond reads at any scale
• Your data is naturally key-value (sessions, configs, event logs)
• You're already experienced with DynamoDB modeling

The Verdict

I'll be honest: neither is a great choice for solo developers. The 4/10 and 5/10 ratings reflect that both databases solve enterprise problems that individual developers rarely face.

If forced to choose, DynamoDB edges out CockroachDB slightly for solo developers because AWS's free tier is more practical, pay-per-request pricing is more affordable at low scale, and the AWS ecosystem integration is useful if you're already there. CockroachDB's $295 jump to dedicated pricing is brutal for an individual.

But my real recommendation? Skip both. Use Neon for free serverless Postgres if you want SQL flexibility, or Supabase if you want a complete backend. These tools are designed for the problems solo developers actually face, which are shipping fast, spending little, and not managing infrastructure. Save distributed databases and AWS NoSQL for when your project actually demands them.

Sources

All figures verified on 2026-05-28.

• CockroachDB pricing, tiers, and free allowances: cockroachlabs.com/pricing
• CockroachDB v25.4 release notes and patch dates: cockroachlabs.com/docs/releases/v25.4
• CockroachDB vector search and C-SPANN indexing: cockroachlabs.com/blog/distributed-vector-indexing-cockroachdb
• CockroachDB GitHub stars, forks, and language: github.com/cockroachdb/cockroach (stats via api.github.com)
• DynamoDB on-demand pricing, storage rates, and free tier: aws.amazon.com/dynamodb/pricing/on-demand
• DynamoDB pricing overview and table classes: aws.amazon.com/dynamodb/pricing
• DynamoDB 2026 pricing cross-check: cloudzero.com/blog/dynamodb-pricing