Title

AWS re:Invent 2022 - Transform your business with time-series data (PRT061)

Summary

James from Timescale discusses the importance and ubiquity of time-series data across various industries.
Time-series data is characterized by its time-ordered, insert-heavy nature, and is often part of a primary key in databases.
Queries on time-series data are typically time-bound, and handling large volumes of such data can be challenging for traditional relational databases.
Timescale enhances Postgres with "time series superpowers," allowing it to efficiently handle time-series workloads while maintaining the benefits of a relational database.
Timescale offers performance comparable to or better than dedicated time-series databases, without the trade-offs in flexibility.
Timescale Cloud is a product that runs on AWS, offering scalability, cost efficiency, and integration with AWS services like CloudWatch, Lambda, and IoT.
Key features of Timescale include best-in-class compression, continuous aggregates, and a new feature called bottomless storage, which allows tiering data to Amazon S3 and querying it transparently.
Timescale is built on Postgres and is available as an open-source extension, TimescaleDB.
Attendees are encouraged to try Timescale Cloud for free and to sign up for the private beta of the bottomless storage feature.

Time-series data is critical for a wide range of applications, from cryptocurrencies to IoT devices, and requires specialized handling due to its unique characteristics.
The integration of Timescale with Postgres allows users to leverage the familiarity and ecosystem of a relational database while gaining the performance and features needed for time-series data.
Timescale's approach to time-series data storage and querying addresses common issues such as data volume, query efficiency, and storage costs.
The bottomless storage feature represents an innovative approach to data lifecycle management, enabling seamless interaction with data stored in different formats and locations, such as row-based, compressed, and Apache Parquet format in Amazon S3.
Timescale's performance benchmarks and cost efficiency claims position it as a competitive option in the time-series database market, potentially challenging dedicated time-series databases.
The offer to try Timescale Cloud for free and the invitation to participate in the private beta for bottomless storage are strategic moves to increase adoption and gather user feedback for further development.