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DocumentationTencent Cloud DataBuddyData IntegrationSupported Data Sources and Read Capabilities

Supported Data Sources and Read Capabilities

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Last updated: 2026-10-09 16:09:07
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Overview

DataBuddy data ingestion continuously expands the supported data source types, covering categories such as relational databases, big data storage, semi-structured data, NoSQL databases, and message queues. This document lists the currently supported data sources by category and their read capability support across different ingestion paths (offline synchronization, real-time full-database synchronization, and sharded database and table synchronization).
A data source is registered with DataBuddy as a data source connection. For details, see Add a data source connection. The destination of a synchronization task is always a Catalog table (based on Iceberg native tables) or a Volume.

Read Capability Legend

Flag.
Description
✓
Supported
-
Currently not supported
Real-time synchronization paths typically have stricter requirements on source versions. For the detailed supported version range, refer to the Supported Version column.

Relational Database

Data Source
Offline read
Real-time full database read
Sharded database and table read
Supported Version
MySQL
✓
✓
✓
5.6 / 5.7 / 8.0.x
Tencent Cloud MySQL
✓
✓
✓
Same as MySQL
TDSQL-C MySQL
✓
✓
✓
5.7 / 8.0
TDSQL MySQL
✓
✓
-
InnoDB Type
PostgreSQL
✓
✓
✓
9.6 / 10 / 11 / 12
SQL Server
✓
✓
✓
2008 / 2008R2 / 2012 / 2014 / 2016 / 2017 / 2019
Oracle
✓
✓
✓
11 / 12 / 19
OceanBase
✓
✓
-
3.1.4 / 4.2.1.3
IBM DB2
✓
-
-
-
DM Database
✓
-
-
7 / 8
GBase
✓
-
-
-
GaussDB
✓
-
-
-
Greenplum
✓
-
-
4.x / 5.x / 6.x
TiDB
✓
-
-
-

Big Data Storage

Data Source
Offline read
Real-time full database read
Sharded database and table read
Supported Version
Hive
✓
-
-
1.x / 2.x / 3.x
HDFS
✓
-
-
2.x / 3.x
HBase
✓
-
-
2.2.x
TCHouse-D
✓
-
-
-
TCHouse-C
✓
-
-
-
TCHouse-X
✓
-
-
-
TCHouse-P
✓
-
-
-
Doris
✓
-
-
0.15 / 1.x
Iceberg
✓
-
-
0.13.1+
StarRocks
✓
-
-
-
ClickHouse
✓
-
-
20.7+
Kudu
✓
-
-
-
Hudi
✓
-
-
-
TDengine
✓
-
-
-
BigQuery
✓
-
-
-

Semi-Structured Data

Semi-structured data sources primarily handle unstructured file ingestion and offline reading scenarios. By combining file-to-table sync tasks with those targeting a Volume, you can achieve multiple usage modes such as archiving as-is, parsing into tables, and format conversion.
Data Source
Offline read
Real-time read
Description
COS
✓
-
Tencent Cloud COS; supports use as an offline sync source and as an entry for "COS file to table".
Amazon S3
✓
-
Overseas object storage; supports regex matching for file paths and full/incremental sync.
Azure Blob
✓
-
Access via container path
FTP
✓
-
Offline sync link only
SFTP
✓
-
Supports password and SSH private key authentication
File System
✓
-
Self-managed file system
Rest API
✓
-
Supports GET/POST, Header, and single/multiple requests; supports single JSON objects and JSON arrays.

NoSQL Database

Data Source
Offline read
Real-time full database read
Supported Version
MongoDB
✓
✓
4.x
TencentDB for MongoDB
✓
✓
Same as MongoDB
Elasticsearch
✓
-
6.x / 7.x
Tencent Cloud Elasticsearch
✓
-
Same as Elasticsearch
CTSDB / InfluxDB
✓
-
-

Message queue

Data Source
Offline read
Real-time full database read
Supported Version
Kafka
✓
✓
2.4.1 / 2.7.1 / 2.8.1 / 2.8.2
CKafka
✓
✓
Same as Kafka

Viewing Available Data Source Types

The preceding list is for reference only. When you go to Data Source Management or create a data source connection in a data ingestion task, you can view the complete list of types actually supported by the current version in the Data Source Type drop-down list. For specific connection configuration items of each data source, see the corresponding section in Data Source List.

References

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