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Update README.md (#6921)
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Signed-off-by: Iain Cox <iain@timescale.com>
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billy-the-fish authored May 15, 2024
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Expand Up @@ -10,16 +10,17 @@ 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
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)
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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
Expand All @@ -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)
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