1. What data sources does DataInLong support?
Data Integration supports various cloud-based and self-hosted data sources, such as:
Relational databases: MySQL, PostgreSQL, Oracle, SQL Server, IBM DB2, Dameng DM, SAP HANA, etc.
Big Data Storage: Hive, HDFS, HBase, Kudu, Clickhouse, DLC, Impala, Gbase, Tbase, etc.
Semi-structured: FTP, SFTP, COS.
NoSQL:Redis,Elasticsearch.
Message Queue: Kafka, etc.
2. What sync scenarios does DataInLong support?
Data Integration core supports offline and real-time data synchronization scenarios. The offline scenario supports periodic data ingestion; the real-time scenario monitors data changes based on database logs/message queues and pulls the latest data in real-time.
3. What data sync directions are supported?
Data Integration uses a star schema data model and can flexibly mix and match sources and destinations based on supported data source types.
4. What data object sync methods are supported?
Data Integration supports single database, single table, sharding, and batch multiple databases, multiple tables synchronization methods.