TigerData is a managed PostgreSQL platform (Tiger Cloud) and associated Postgres extensions that provide time-series ingestion, accelerated analytical queries, and integrated vector/AI extensions while maintaining PostgreSQL compatibility.
Published Oct 24, 2026
Vendor-asserted metrics cite a large customer base and a large number of active databases; these vendor claims were not independently validated in the reviewed materials.
| Starting Price | Compute priced starting in the low‑to‑mid tens of dollars per month with storage billed at a low per‑GB monthly rate (usage metering applies) | Free tier plus usage-based pricing; separate unit pricing for ingestion, queries, and storage | Tiered plans with estimator tools; pricing oriented to large analytic workloads and query volume |
| Best For | Organizations that prefer Postgres compatibility and require time-series analytics and integrated vector/AI extensions within a Postgres environment | Time-series-first workloads where a purpose-built ingestion/query model and explicit unit pricing align with operational needs | Large-scale analytical workloads where high-performance OLAP scans and aggregations are primary requirements |
| Key Strength | Postgres ecosystem compatibility combined with time-series primitives and managed features (forks, continuous aggregates) | Purpose-built time-series platform with serverless and usage-based pricing semantics | High-performance analytics for large scans and aggregations |
| Key Weakness | Pricing and licensing complexity; console performance concerns at scale; some operations (compression/backfill) have documented performance issues in specific releases | Different data model and query language semantics (not Postgres); costs can scale with data and query volume | Not Postgres-native; transactional workloads are less natural and the operational model differs |