diff --git a/README.md b/README.md index 14868e9a5c6..2082e36c856 100644 --- a/README.md +++ b/README.md @@ -10,8 +10,9 @@ time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. -If you prefer not to install or administer your instance of [TimescaleDB](https://tsdb.co/GitHubTimescale), -try Timescale, our fully managed cloud offering (pay-as-you-go, with a free trial to start). +If you prefer not to install or administer your instance of TimescaleDB, try the +30 day free trial of [Timescale](https://console.cloud.timescale.com/signup), our fully managed cloud offering. +Timescale is pay-as-you-go. We don't charge for storage you dont use, backups, snapshots, ingress or egress. To determine which option is best for you, see [Timescale Products](https://tsdb.co/GitHubTimescaleProducts) for more information about our Apache-2 version, TimescaleDB Community (self-hosted), and Timescale @@ -19,7 +20,7 @@ Cloud (hosted), including: feature comparisons, FAQ, documentation, and support. Below is an introduction to TimescaleDB. For more information, please check out these other resources: -- [Developer Documentation](https://tsdb.co/GitHubTimescaleDocs) +- [Developer Documentation](https://docs.timescale.com/getting-started/latest/services/) - [Slack Channel](https://slack-login.timescale.com) - [Timescale Community Forum](https://www.timescale.com/forum/) - [Timescale Release Notes & Future Plans](https://tsdb.co/GitHubTimescaleReleaseNotes) @@ -47,7 +48,7 @@ actual data. This single-table view, which we call a is comprised of many chunks, which are created by partitioning the hypertable's data in either one or two dimensions: by a time interval, and by an (optional) "partition key" such as -device id, location, user id, etc. ([Architecture discussion](https://docs.timescale.com/timescaledb/latest/overview/core-concepts/)) +device id, location, user id, etc. Virtually all user interactions with TimescaleDB are with hypertables. Creating tables and indexes, altering tables, inserting @@ -83,7 +84,7 @@ CREATE TABLE conditions ( SELECT create_hypertable('conditions', 'time'); ``` -- [Quick start: Creating hypertables](https://tsdb.co/GitHubTimescaleCreateHypertables) +- [Quick start: Creating hypertables](https://docs.timescale.com/use-timescale/latest/hypertables/create/) - [Reference examples](https://tsdb.co/GitHubTimescaleHypertableReference) #### Inserting and querying data @@ -115,16 +116,15 @@ analysis that are not present in vanilla PostgreSQL. (For example, the `time_buc ### Installation -TimescaleDB is available pre-packaged for several platforms (Linux, Docker, MacOS, Windows). -More information can be found in [our documentation](https://docs.timescale.com/self-hosted/latest/install/). - -To build from source, see instructions -[here](https://github.com/timescale/timescaledb/blob/main/docs/BuildSource.md). - [Timescale](https://tsdb.co/GitHubTimescale), a fully managed TimescaleDB in the cloud, is available via a free trial. Create a PostgreSQL database in the cloud with TimescaleDB pre-installed so you can power your application with TimescaleDB without the management overhead. +TimescaleDB is also available pre-packaged for several platforms such as Linux, Windows, MacOS, Docker, and +Kubernetes. For more information, see [Install TimescaleDB](https://docs.timescale.com/self-hosted/latest/install/). + +To build from source, see [Building from source](https://github.com/timescale/timescaledb/blob/main/docs/BuildSource.md). + ## Resources ### Architecture documents @@ -144,7 +144,7 @@ multiple workers. ### Additional documentation - [Why use TimescaleDB?](https://tsdb.co/GitHubTimescaleIntro) -- [Migrating from PostgreSQL](https://tsdb.co/GitHubTimescalePostgresMigrate) +- [Migrating from PostgreSQL](https://docs.timescale.com/migrate/latest/) - [Writing data](https://tsdb.co/GitHubTimescaleWriteData) - [Querying and data analytics](https://tsdb.co/GitHubTimescaleReadData) - [Tutorials and sample data](https://tsdb.co/GitHubTimescaleTutorials)