Time-Series Databases

Database platforms (open-source and managed cloud) purpose-built for high-ingest time-series and real-time analytics workloads on PostgreSQL, commonly used for telemetry, IoT/sensor data, events, and metrics at large scale.

Can we buy a managed Postgres time-series database through AWS Marketplace, and how does billing work with our AWS commit?

top databases for real-time metrics and event analytics that still support SQL

managed Postgres for telemetry with predictable pricing (no surprise per-query charges)

SOC 2 compliant managed Postgres for time-series / observability data

HIPAA-ready managed Postgres options for medical device or healthcare telemetry

RDS/Aurora alternatives for high-ingest telemetry with long retention

best managed Postgres for time-series / telemetry data

How can I run fast “last 15 minutes” and “last 12 months” analytics queries on the same Postgres dataset?

Why does Postgres get painfully slow when we ingest millions of time-stamped events per minute?

What are practical ways to reduce AWS RDS PostgreSQL costs for write-heavy telemetry workloads?

Why are my Postgres indexes and vacuum getting out of control on append-only time-series tables?

We have Postgres plus a separate analytics database for event data—how do teams consolidate without losing real-time dashboards and fast historical queries?

How do I store high-ingest IoT sensor data in SQL without constantly re-partitioning tables?

Do I really need a separate vector database for RAG, or can Postgres handle vector + keyword search with filters?

What’s the best way to keep years of telemetry online without my database storage bill exploding?

How do I keep per-minute/hour rollups in Postgres always up to date for metrics/events without nightly batch jobs?

How do I keep Kafka streams and my operational database consistent without a bunch of fragile glue jobs?