Embrace overview
Using Embrace, you can perform live queries on external databases.
If your company stores source data externally in data warehouses, you can use ThoughtSpot Embrace to directly query that data and use ThoughtSpot’s analysis and visualization features, without moving the data into ThoughtSpot.
Embrace supports the following external databases:
-
Snowflake
-
Amazon Redshift
-
Google BigQuery
-
Microsoft Azure Synapse
-
Teradata
-
SAP HANA Beta
To enable Embrace, contact ThoughtSpot support.
How it works
You create a connection to the external database, choosing the columns from each table that you want to explore in your live query. Primary key and foreign key relationships are imported along with the primary and foreign key tables. If there are any joins in the tables of your connection, they are also imported. After your connection is complete, it becomes a linked data source in ThoughtSpot that allows you to query the external database directly. It’s easy to apply transformations and filter the data also.
Key benefits
-
Set up and deploy ThoughtSpot faster by connecting directly to the external database.
-
Eliminate the need to move data into ThoughtSpot for analysis.
-
Centralize data management and governance in the external database.
-
Save significant time and money by avoiding ETL pipelines.
-
Connect to multiple external databases.
Limitations
Feature availability in Embrace
| Feature Name | Falcon | Embrace |
|---|---|---|
Simple Search and Complex searches:Versus, Inline Subquerying, Growth |
✓ |
✓ |
Search Suggestions for column names and values |
✓ |
✓ |
Headlines that summarize tables |
✓ |
✓ |
All chart types and configurations |
✓ |
✓ |
Spot IQ: Instant insights, Did you know?,Pinboard insights, Analyze |
✓ |
✗ |
SpotIQ Monitor Headlines |
✓ |
✗ |
Table and Column remapping through Scriptability |
✗ |
✓ |
Custom calendar |
✓ |
✗ |
Materialized view |
✓ |
✗ |
Function availability in Embrace
The following matrix compares the specific function support across the different databases of Embrace. Functions not listed here have full support.
| Function | Snowflake | Amazon Redshift | Google BigQuery | Azure Synapse | Teradata | SAP HANA |
|---|---|---|---|---|---|---|
SOUNDS_LIKE |
✗ |
✗ |
✗ |
✗ |
✗ |
✗ |
STRING_ MATCH_SCORE |
✗ |
✗ |
✗ |
✗ |
✗ |
✗ |
EDIT_DISTANCE_WITH_CAP |
✗ |
✗ |
✗ |
✗ |
✗ |
✗ |
APPROX_SET_CARDINALITY |
✗ |
✗ |
✗ |
✗ |
✗ |
✗ |
COUNT_NOT_NULL |
✗ |
✗ |
✗ |
✗ |
✗ |
✗ |
SPELLS_LIKE |
✓ |
✗ |
✗ |
✗ |
✓ |
✗ |
EDIT_DISTANCE |
✓ |
✗ |
✗ |
✗ |
✓ |
✗ |
MEDIAN |
✓ |
✓ |
✗ |
✓ |
✓ |
✓ |
PERCENTILE |
✓ |
✓ |
✗ |
✓ |
✓ |
✗ |
Data type availability in Embrace
The following matrix captures the specific data type support limitations across the different databases of Embrace. Data types not listed here have full support.
| Data Type | Snowflake | Amazon Redshift | Google BigQuery | Azure Synapse | Teradata | SAP HANA |
|---|---|---|---|---|---|---|
BINARY |
✗ |
✓ |
✓ |
✗ |
✓ |
✓ |
VARBINARY |
✗ |
✓ |
✓ |
✗ |
✓ |
✗ |
GEOMETRY |
✓ |
✗ |
✓ |
✓ |
✓ |
✗ |
BYTES |
✓ |
✓ |
✗ |
✓ |
✗ |
✓ |
DATETIMEOFFSET |
✓ |
✓ |
✓ |
✗ |
✓ |
✓ |
Additional specific exceptions
The following list captures the specific limitations across the different databases of Embrace. Databases not listed here have full support.
- General: all databases
-
- Sample values
-
Embrace does not internationalize sample values in tables.
- Google BigQuery
-
- Join support
-
Google BigQuery does not support PK-FK joins. Therefore, when using Embrace, you must create joins explicitly in ThoughtSpot.
- Partitioned tables
-
When running a query on a partitioned table with the Require partition filter option enabled, you must specify the WHERE clause. Without a WHERE clause specified, queries generate an error. To ensure that the query on such tables honors the partition condition, you must create a worksheet filter in ThoughtSpot.
- Azure Synapse
-
Azure Synapse supports up to 10 IF THEN ELSE statements in a single query.
Azure Synapse does not support foreign keys, so no PK-FK joins can be defined in Synapse.
- Teradata
-
Teradata does not support the function: AGGREGATE_DISTINCT.
Teradata does not support the following data types:
JSON, INTERVAL, VARBYTE, BLOB, CLOB, PERIOD, XML, GEOSPATIAL. - SAP HANA
-
SAP HANA does not support the following functions:
PERCENTILE, AGGREGATE_DISTINCT, SPELLS_LIKE, EDIT_DISTANCE.SAP HANA does not support the following data types:
BLOB, CLOB, NCLOB, TEXT, POINT.SAP HANA does not support calculation views with mandatory input parameters. If you need to use calculation views in ThoughtSpot, you must remove the mandatory parameter requirement.
Next steps
-
Add a Snowflake connection
Create the connection between ThoughtSpot and tables in a Snowflake database. -
Add a Redshift connection
Create the connection between ThoughtSpot and tables in an Amazon RedShift database. -
Add a BigQuery connection
Create the connection between ThoughtSpot and tables in a Google BigQuery database. -
Add a Synapse connection
Create the connection between ThoughtSpot and tables in an Azure Synapse database. -
Add a Teradata connection
Create the connection between ThoughtSpot and tables in a Teradata database. -
Add an SAP HANA connection
Create the connection between ThoughtSpot and tables in an SAP HANA database.
