In Teradata to identify row number of table, firstly we need to collect statistic by COLLECT STATISTICS statement
Example
COLLECT STATISTICS INDEX(address_id) ON Person.Address ;
To read more visit official documentation
Note
This query may not return exact row number and can be very diffrent from real result, because it depends on collect statistics time.
Query below returns list of tables in a database with their number of rows at the time statistic was collected.
Query
SELECT  DatabaseName,
        TableName,
        RowCount,
        LastCollectTimeStamp
FROM    DBC.TableStatsV
WHERE   IndexNumber = 1
AND DataBaseName NOT IN ('All', 'Crashdumps', 'DBC', 'dbcmngr', 
    'Default', 'External_AP', 'EXTUSER', 'LockLogShredder', 'PUBLIC',
    'Sys_Calendar', 'SysAdmin', 'SYSBAR', 'SYSJDBC', 'SYSLIB', 
    'SystemFe', 'SYSUDTLIB', 'SYSUIF', 'TD_SERVER_DB',  'TDStats',
    'TD_SYSGPL', 'TD_SYSXML', 'TDMaps', 'TDPUSER', 'TDQCD',
    'tdwm',  'SQLJ', 'TD_SYSFNLIB',  'SYSSPATIAL')
ORDER BY    RowCount DESC;
Columns
- DatabaseName - database name
- TableName - name of the table
- RowCount - number of rows in a table at stats collect time
- LastCollectTimeStamp - date when stats were collected
Rows
- One row represents one table
- Scope of rows: all tables on which stats was collected in a database
- Ordered by number of rows descending
Sample results

 
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                     
                                                                 
                                                             
                                                             
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                                 
                                                             
                                                             
                                                             
                                                             Bart Gawrych
                                                                        Bart Gawrych
                                 Teradata
                                                                Teradata
                                 SQL Server
                                                                                                SQL Server
                                             Azure SQL Database
                                                                                                Azure SQL Database
                                             Oracle database
                                                                                                Oracle database
                                             Snowflake
                                                                                                Snowflake
                                             Amazon Redshift
                                                                                                Amazon Redshift
                                             IBM Db2
                                                                                                IBM Db2
                                             Vertica
                                                                                                Vertica
                                             PostgreSQL
                                                                                                PostgreSQL
                                             MySQL
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                                             MariaDB
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