MongoDB Atlas vs TigerData
A detailed comparison to help you choose between MongoDB Atlas and TigerData.
Quick Verdict
4.1/5
MongoDB Atlas
0 reviews
4.2/5
TigerData
0 reviews
TigerData is rated higher (4.2 vs 4.1). MongoDB Atlas is the managed cloud version of MongoDB. Available on AWS, GCP, and Azure. Full-text search, vector search, time-series collections, and usage-priced Flex tiers. Free M0 cluster forever. 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.
MongoDB Atlas The cloud database for modern apps | TigerData PostgreSQL-native time-series database for metrics, events, and analytics | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (0 reviews) | 4.2 (0 reviews)✓ |
| Pricing model | freemium | freemium |
| Starting price | Free tier available✓ | From $30/mo |
| Best for | Application-first teams that want production MongoDB with multi-AZ resilience and no DBA, plus developers who want a free tier that can grow into paid tiers. | 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. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | ["AWS", "Google Cloud", "Microsoft Azure"] | 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 MongoDB Atlas → | Visit TigerData → | |
MongoDB Atlas
Pros
- + Genuinely useful free M0 tier (512MB forever) with the same drivers and code path as production
- + Multi-cloud: 125+ regions across AWS, Google Cloud, and Azure, with cross-region and cross-provider node placement
- + Automated operations: three-node cross-AZ replica sets, failover, patching, point-in-time recovery, storage auto-scaling
- + 99.995% uptime SLA on Dedicated tiers with clearly documented exclusions and service-credit ladder
- + Integrated full-text and vector search, time-series collections, and Terraform/API automation
Cons
- - Per-node billing: a production replica set triples the advertised node price; sharded clusters multiply again
- - Backups on Dedicated, egress, search add-ons, and support are billed separately — invoice drift is common
- - No SLA and no continuous backups on Free or Flex; M0 cannot be resized into a paid cluster
- - Proprietary add-ons (Atlas Search, Vector Search, Data Federation) create soft lock-in
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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