CockroachDB vs TigerData
A detailed comparison to help you choose between CockroachDB and TigerData.
Quick Verdict
4.2/5
CockroachDB
0 reviews
4.2/5
TigerData
0 reviews
Both CockroachDB and TigerData are equally rated at 4.2/5. CockroachDB is a distributed SQL database built to survive datacenter failures. Postgres-compatible, strong consistency, and automatic scaling across regions. Managed plans: Basic (usage-based, free tier), Standard and Advanced (provisioned), plus BYOC and the new Cockroach Continuum editions. TigerData, from the creators of TimescaleDB, is a PostgreSQL cloud platform built for time-series and real-time analytics workloads at large scale, aimed at developers and enterprises.
CockroachDB Distributed SQL database that survives failures | TigerData PostgreSQL-native time-series database for metrics, events, and analytics | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (0 reviews) | 4.2 (0 reviews) |
| Pricing model | freemium | freemium |
| Starting price | Free tier available✓ | From $30/mo |
| Best for | Applications where the database must survive region loss without losing transactions — payments, ledgers, identity, multi-region SaaS, global gaming backends — and teams ready for distributed-SQL trade-offs | Teams building observability, IoT/telemetry, financial or real-time analytics platforms who want time-series performance inside standard PostgreSQL and can run the ops model of a managed Postgres service. |
| Specifications (entry plan) | ||
| CPU cores | 2 vCPU | — |
| RAM | — | — |
| Storage | — | — |
| Bandwidth | — | — |
| SLA uptime | 99.99%✓ | 99.9% |
| Data-center count | — | 17 |
| €/vCPU/mo | €0.00 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | AWS, GCP and Azure regions across North America, Europe and Asia-Pacific (multi-region clusters) | 13 AWS regions + 4 Azure regions across North America, Europe, Asia Pacific and South America |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapac datacenterapi access | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source |
| Visit CockroachDB → | Visit TigerData → | |
CockroachDB
Pros
- + True multi-region survivability with serializable transactions and Postgres wire compatibility
- + Generous free tier: Basic at $0/month with 50M RUs and 10 GiB free monthly, $400 trial credits, no card required
- + Contractual SLAs: 99.99% availability, up to 99.999% multi-region on Advanced; P1 response targets published
- + Transparent per-component cost documentation and a public pricing calculator
- + Enterprise compliance path (CMEK, PCI DSS, HIPAA) and AWS/GCP/Azure coverage
Cons
- - Production costs climb fast: storage billed at 4.5x durability multiplier, plus backups, CDC and egress
- - September 2026 plan restructure (Cockroach Continuum) splits new and existing customers onto different rate cards
- - Distributed-SQL learning curve: RU model, planner differences from vanilla Postgres, cross-region latency
- - Overkill for single-region applications — managed Postgres is far cheaper for the same job
- - Proprietary managed plane; open-core self-hosting shifts the operational burden back to you
TigerData
Pros
- + Full SQL and the PostgreSQL extension ecosystem — hypertables, continuous aggregates and 90%+ compression without a new query language
- + Published consumption pricing (compute from $30/month, storage $0.177-0.212/GB-month) with hourly metering and no instance-size lock-in
- + 17 regions across AWS and Azure with EU, US and APAC residency selectable at creation
- + Reliability productized: multi-AZ HA, PITR up to 14 days, backup retention to 180 days, cross-region restore, public SLA and status page
- + Open-source TimescaleDB escape hatch — self-hosting stays viable, which keeps pricing honest
Cons
- - Hourly compute meter bills full hours and forgotten scale-ups at the higher config are expensive
- - Serious reliability and security features (multi-node HA, 14-day PITR, SOC 2, private endpoints) gated behind Scale or Enterprise
- - PostgreSQL and time-series concepts (chunks, compression/retention policies) assumed — not a zero-ops database for non-database teams
- - Effective storage price assumes 5x compression; actual ratios are workload-dependent
- - Aiven-partnered legacy MST product carries a different (99.99%) SLA — easy to confuse with Tiger Cloud
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