Amazon Timestream vs QuestDB

Amazon Timestream is a managed cloud service offering time-series database engines for low-latency queries and large-scale ingestion. Timestream for LiveAnalytics scales ingestion, storage and query capacity independently and can process millions of queries. Memory and magnetic tiers support retention rules that move data and delete older records. Timestream for InfluxDB 3 Enterprise supports clusters of up to 15 nodes assigned to ingestion, query or compaction work. Backups can run hourly, daily, weekly, monthly or on a custom cron schedule, with retention from one to 365 days; on-demand backups can remain for up to 3,650 days. AWS states that data is encrypted by default and documents IAM, KMS and AWS Backup integrations. Ingestion options include SDKs, CLI, WriteRecords API, Lambda, IoT Core, Kinesis, MSK, Managed Service for Apache Flink and Telegraf. SQL, Flux and InfluxQL are supported query languages.

QuestDB is a time-series database for environments where low latency matters, including mission-critical workloads. It supports standard SQL through a vectorized execution engine, along with time-series extensions such as SAMPLE BY, ASOF, and HORIZON JOIN. QuestDB advertises ingestion speeds of 8M+ rows per second. The Open Source edition is self-managed and available as binaries, containers, or source code; it is single-instance and supports Parquet storage and PostgreSQL Wire Protocol compatibility. Ingestion options include QuestDB Wire Protocol, InfluxDB Line Protocol, REST API, native client libraries, SQL INSERT, Kafka connector, and CSV import. Listed integrations include Grafana, Power BI, Apache Kafka, Telegraf, Redpanda, Apache Flink, Pandas, and Apache Spark. Open Source costs nothing and includes community support. Enterprise adds security controls, replication, automatic failover, object-storage tables, and dedicated support with response-time SLAs.