TigerData vs SingleStore
A detailed comparison to help you choose between TigerData and SingleStore.
Quick Verdict
4.2/5
TigerData
0 reviews
3.8/5
SingleStore
0 reviews
TigerData is rated higher (4.2 vs 3.8). 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. SingleStore (formerly MemSQL) is a cloud-native database combining OLTP and OLAP in a single system. Handles real-time analytics and transactions without ETL. Used by financial services and gaming companies.
TigerData PostgreSQL-native time-series database for metrics, events, and analytics | SingleStore Real-time analytics and transactions in one database | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (0 reviews)✓ | 3.8 (0 reviews) |
| Pricing model | freemium | usage-based |
| Starting price | From $30/mo | Free tier available✓ |
| Best for | 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. | Teams with genuinely mixed transactional and analytical workloads — fraud, risk, adtech, IoT, live gaming — that need sub-second freshness and want to retire a separate warehouse and sync pipeline. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | 13 AWS regions + 4 Azure regions across North America, Europe, Asia Pacific and South America | — |
| Tags | ||
| Tags | free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source | free tiermanaged optioneu datacenterus datacenterapi access |
| Visit TigerData → | Visit SingleStore → | |
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
SingleStore
Pros
- + Transactions and analytics in one engine — no ETL pipeline between an operational database and a warehouse
- + Published, itemised rate card: workspace sizes, credit burn, storage tiers and every multiplier are public
- + Genuine free evaluation tier plus $500 of credits on Standard
- + MySQL-compatible wire protocol shortens migration from MySQL-based stacks
- + Documented compliance posture (ISO 27001, SOC 2 Type 2, HIPAA, CCPA, GDPR) and a BYOC option for data residency
Cons
- - Stacking multipliers (Enterprise 1.5x, Multi-AZ 1.3x, region tier, scaling) make real bills hard to predict from headline prices
- - Distributed-engine concepts (shard keys, distribution, reference tables) are overkill for simple CRUD applications
- - Free Shared tier is explicitly non-production and self-support only
- - Self-managed licensing and BYOC/Dedicated pricing require a sales conversation
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