Amazon Timestream vs Apache Kudu

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.

Apache Kudu is an open-source distributed storage engine for analytics on rapidly changing data. It combines fast inserts and updates with efficient columnar scans in one storage layer. Tables use strongly typed columns and primary keys, allowing reads, updates, and deletes by key, with millisecond-scale access to individual rows. Java, C++, and Python APIs are provided, and frequently used integrations include Apache Impala, Apache NiFi, Apache Spark SQL, and Presto. Kudu runs on Linux, stores data in the Linux filesystem, and recommends ext4 or XFS for storage directories. Raft replicates tablet operations, while clients can use strict snapshot consistency. Security options include Kerberos authentication, TLS for authenticated internal connections, and fine-grained Apache Ranger authorization. It is self-hosted, supports Parquet, and is free under the Apache 2.0 license. Kudu is not designed as an OLTP system and does not currently support automatic record deletion through a time-to-live property. The listed latest release is 1.18.1, released January 9, 2026.