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1 | 1 | ---
|
2 | 2 | title: Product Updates
|
3 |
| -description: New updates and improvements |
| 3 | +description: New features, updates and improvements |
4 | 4 | icon: rss
|
5 | 5 | ---
|
6 | 6 |
|
| 7 | +<Update label="May 2025"> |
| 8 | + ## Go Client |
| 9 | + |
| 10 | + <Frame> |
| 11 | +  |
| 12 | + </Frame> |
| 13 | + |
| 14 | + Excited to announce the release of the Tilebox Go client! |
| 15 | + |
| 16 | + **Features** |
| 17 | + - Datasets client |
| 18 | + - Statically typed dataset types |
| 19 | + - CLI to generate dataset types |
| 20 | + - Workflows client |
| 21 | + - Go task runners |
| 22 | + |
| 23 | + To get started, check out the [Go SDK documentation](/sdks/go/install). |
| 24 | +</Update> |
| 25 | + |
| 26 | +<Update label="April 2025"> |
| 27 | + ## Spatio-Temporal datasets |
| 28 | + |
| 29 | + <Frame> |
| 30 | +  |
| 31 | + </Frame> |
| 32 | + |
| 33 | + Spatio-temporal datasets are officially out, fully supported in all languages and available as a category to create in custom datasets! |
| 34 | + |
| 35 | + The core problems that spatio-temporal datasets solve are |
| 36 | + |
| 37 | + - finding relevant data quickly (e.g. all Sentinel 2 granules along the US coastline, last year), |
| 38 | + - storing auxiliary geographically coded data (e.g. weather station data, ground truth data), |
| 39 | + - cataloging higher level data and results |
| 40 | + |
| 41 | + [Here's a short video](https://share.descript.com/view/khO3QJslhgU) on performance and core capabilities. |
| 42 | + |
| 43 | + We're excited about this as cataloging has until now been an unsexy but hard problem, and it's great to finally have a solution out there |
| 44 | + |
| 45 | + **More information** |
| 46 | + |
| 47 | + - [Spatio Temporal datasets documentation](https://docs.tilebox.com/datasets/types/spatiotemporal) |
| 48 | + - All open data now supports spatio-temporal queries |
| 49 | + - [Create your own spatio-temporal datasets](/guides/datasets/create) |
| 50 | + - [Ingesting spatio-temporal data](/datasets/ingest) |
| 51 | + |
| 52 | +</Update> |
| 53 | + |
7 | 54 | <Update label="March 2025">
|
8 | 55 | ## Custom Datasets
|
9 | 56 |
|
10 |
| - Coming soon! |
| 57 | + <Frame> |
| 58 | +  |
| 59 | + </Frame> |
| 60 | + |
| 61 | + Create your own custom datasets! |
| 62 | + |
| 63 | + - statically typed |
| 64 | + - with clients in Python and Go |
| 65 | + |
| 66 | + Use it to organize anything from telemetry, raw payload metadata, auxiliary sensor data, configuration data, or |
| 67 | + internal data catalogs. |
| 68 | + |
| 69 | + **Quickstart** |
| 70 | + 1. Specify the data type in the Console |
| 71 | + 2. Create a collection |
| 72 | + 3. Use client.ingest() to ingest a `xarray.Dataset` or `pandas.DataFrame` |
| 73 | + 4. Query away! |
| 74 | + |
| 75 | + For detailed instructions, check out the [Creating a dataset](/guides/datasets/create) how-to guide. |
11 | 76 | </Update>
|
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