||Supported only by Teradata Database, and best suited for test or development environments or use cases where performance takes priority over data persistence. |
- Provides the lowest reliability among the storage options.
- Offers only temporary data storage that requires a running VM.
- Leads to data loss in the event of shutdown (init 0), node hang, machine check (hardware fault such as a double bit memory error), VM stoppage, or VM termination.
Data loss does not occur with certain node events, such as a reboot (init 6) or node panic (sometimes referred to as an oops event). An oops event causes a memory dump and then the node is rebooted.
- Offers the highest performance among the storage options.
- Costs more per GB than the other storage options.
||Best suited for production environments or use cases where data persistence takes priority over performance. |
- Provides the highest reliability among the storage options.
- Offers data persistence independent of a running VM.
- Allows shutdown of a VM between sessions to reduce costs.
- Provides lower performance compared to local storage.
- Costs less per GB than local storage.
||Suitable for test, development, or production environments.|
- Stores data as unstructured block blobs.
- Provides the durability, availability, and scalability of premium storage at a reduced price.
- Offers tier options to lower storage costs for less frequently accessed data (cool tier) or to lower access costs for more frequently accessed data (hot tier).
- Using Teradata Access Module for Azure with TPT, load and export between Azure Blob and Teradata Database.
- Using Teradata DSC, back up and restore between Azure Blob and Teradata Database.
- Using a Teradata QueryGrid Hive connector, query data in Hadoop after configuring a Hadoop distribution.