Amazon Timestream vs kdb+

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.

kdb+ is a time-series database and analytics engine from KX, built around the q vector language. It captures and analyzes real-time and historical data for time-sensitive workloads. KX describes in-memory ingestion and analysis with sub-millisecond performance. Its storage layout separates newest in-memory records in an RDB, recent disk data in an IDB, and long-term columnar archives in an HDB. Query options include q and q-SQL, with support for Python, Java, C#, C++, Rust, R, and open-source libraries. Data can arrive through tickerplants, feed handlers, batch mode, TCP/IP, Apache Kafka, or supported programming languages. KX describes applications in trading, fraud detection, and IoT monitoring across Capital Markets, Defense, and High-Tech Manufacturing. Deployments cover Linux, macOS, Windows, APIs, and self-hosted environments, with cloud documentation for AWS, Google Cloud Platform, and Microsoft Azure. SSL/TLS connections use OpenSSL certificates and keys.