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YugabyteDB vs TigerData

A detailed comparison to help you choose between YugabyteDB and TigerData.

Quick Verdict

4.0/5

YugabyteDB

0 reviews

4.2/5

TigerData

0 reviews

TigerData is rated higher (4.2 vs 4.0). YugabyteDB is a cloud-native distributed PostgreSQL-compatible database designed for global, highly available applications. Active-active geo-distribution, ACID transactions, and auto-sharding. 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.

YugabyteDB

YugabyteDB

Distributed SQL database built for global applications

TigerData

TigerData

PostgreSQL-native time-series database for metrics, events, and analytics

Overview
Rating4.0 (0 reviews)4.2 (0 reviews)✓
Pricing modelfreemiumfreemium
Starting priceFrom $125/moFrom $30/mo✓
Best forTeams with concrete multi-zone or multi-region requirements who want Postgres semantics, a published SLA, and an open-source core they can self-host as an exit pathTeams 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 cores2 vCPU—
RAM4 GB—
Storage10 GB—
Bandwidth——
SLA uptime99.99%✓99.9%
Data-center count—17
€/vCPU/mo€62.50—
€/GB RAM/mo€31.25—
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier✓
Data-center locations
Regions
AWS/Azure/GCP regions across US, EU and APAC
13 AWS regions + 4 Azure regions across North America, Europe, Asia Pacific and South America
Tags
Tags
free tieropen sourcemanaged optioneu datacenterus datacenterapac datacenterapi access
free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source
Visit YugabyteDB →Visit TigerData →

YugabyteDB

Pros

  • + Apache 2.0 open core you can self-host without revenue caps or telemetry — real exit option
  • + Postgres-compatible SQL with ACID across zones and regions, automatic sharding and failover
  • + Published 99.99% SLA with a concrete service-credit table
  • + One price model across AWS, Azure, GCP and BYOC; 24/7 support on every paid tier
  • + Migration tooling (Voyager) and Terraform/CLI/API automation included, not upsold

Cons

  • - Premium pricing: a 3-node/6-vCPU production cluster runs ~$750/month before storage, and PITR is a $25/vCPU/month add-on on Professional
  • - Distributed-systems complexity remains even when managed — consistency modes and region placement need real understanding
  • - PostgreSQL-compatible, not PostgreSQL-complete; extension and edge-case behaviour gaps exist
  • - Free Sandbox is evaluation-only (1 node, 15 connections, deleted after 15 inactive days)
View full YugabyteDBreview →

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
View full TigerDatareview →

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