TileDB Cloud

Share and compute at planet-scale, all serverless
GenomicsGenomicsArrow
GeospatialGeospatialArrow
DataframesArrow
Cloud_AWSCreated with Sketch.

Store any data as multi-dimensional arrays in a cloud-native, open-source format

Arrows
Cloud_tiledbCreated with Sketch.

Enjoy TileDB Cloud's elasticity and access control, without deployment hassles

Arrows
NotebooksNotebooks
IntegrationsIntegrations
ServerlessServerlessCreated with Sketch.
GenomicsGenomicsArrow
GeospatialGeospatialArrow
DataframesArrow
Cloud_AWSCreated with Sketch.

Store any data as multi-dimensional arrays in a cloud-native, open-source format

Arrows
Cloud_tiledbCreated with Sketch.

Enjoy TileDB Cloud's elasticity and access control, without deployment hassles

Arrows
NotebooksNotebooks
IntegrationsIntegrations
ServerlessServerlessCreated with Sketch.
Why we built TileDB Cloud?

Are you drowning in a sea of messy files, formats and catalogs? Do you find it hard to share data and code with collaborators? Are you struggling to scale your analytics in the cloud at a low cost?

We solved these challenges. Watch the video
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Explore the capabilities

Powerful arrays

Store any data as multi-dimensional dense or sparse arrays, the language of data science. The TileDB storage engine is open-source, supports data versioning built-in, comes with multiple APIs and interoperates with data science tooling.

Learn more

Easy sharing

No more file management and clunky catalogs. Share arrays with any number of users while retaining ownership of your own data. Log and track all usage.

Serverless SQL & task graphs

No more deploying clusters. Analyze your data with serverless SQL. Use task graphs to run parallel user-defined functions. Enjoy ease-of-use, superior scalability and performance while eliminating idle compute costs.

Explore Cloud API docs

Jupyter notebooks

Run Jupyter notebooks in seconds right from TileDB Cloud and jumpstart your work with examples on common use cases. Choose notebooks from multiple configurations and server sizes.

Pricing

Kickstart your analysis with minimal cost and scale automatically, paying only for what you use

Tasks
$0.11 / CPU / hour
Time taken for slicing an array, performing a SQL query or computing
a UDF task
Data
$0.14 / GB
Amount of data retrieved from the service to your client, not the data processed by queries
Notebooks
$0.06 / CPU / hour
Time you spend running a Jupyter notebook server on the TileDB Cloud service

Take a look at some pricing examples

Suppose you run a UDF which takes 300 seconds and returns no data to your client outside TileDB Cloud. Suppose also that the UDF uses 2 CPUs. You will then be charged:
  • Query time:(5 / 60) hours * 2 CPUs * $0.11 = $0.0183
  • Data retrieved:$0.00
  • Total:$0.02

TileDB Enterprise

TileDB Enterprise is the same as TileDB Cloud, but under your full control delivered as licensable software with support. Deploy TileDB Enterprise on-premises or on your private cloud with LDAP and SAML authentication.