Tapdata X ClickHouse
Synchronize data in real-time to ClickHouse.
Why choose to use Tapdata for real-time data integration
Low code visualization operations
Creating data sources and targets, as well as data transformation and processing, are all low code visualization operations.
Almost no impact on the source library
Based on self-developed CDC log parsing technology, zero intrusion real-time data collection has almost no impact on the source database.
Data consistency assurance
Through various self-developed technologies, we ensure high consistency between target end data and source data, and support you to complete consistency verification through various methods to meet production requirements.
About ClickHouse
ClickHouse is an open-source column-oriented DBMS (columnar database management system) for online analytical processing (OLAP) that allows users to generate analytical reports using SQL queries in real-time.
Technical Scenarios
Real-time Database Synchronizationand Integration.
Tapdata LDP provides the capability to collect or write data from over a hundred different data sources. With low-code approach, it enables real-time synchronization and integration between any two databases, facilitating scenarios such as read-write separation, disaster recovery, real-time backups, and more.
Real-time Data Warehouse Integration.
Tapdata supports real-time data ingestion from the databases of business systems using the Change Data Capture (CDC) method, ensuring that the data in the data warehouse remains consistent with the source database. This capability extends to popular data warehouses such as BigQuery, Doris, SelectDB, ClickHouse, and many others.
Database Replacement.
Tapdata enables the replacement of traditional databases such as Oracle and DB2 with domestic alternatives, facilitating a seamless transition. The migration process involves an initial full synchronization using Tapdata, followed by incremental synchronization to keep the data in both the old and new databases in sync.
Kafka Message Queue Data Feeding.
Tapdata can serve as a replacement for both producers and consumers, allowing the seamless and code-free pushing of data from various sources to Kafka in an incremental manner. It can also automatically consume data from Kafka, process it, and send it downstream for further actions.
Query Acceleration.
Real-time synchronization of relational database data to:
--> Redis for caching acceleration.
--> MongoDB for distributed querying.
--> Elasticsearch for full-text search.
Reverse ETL.
Reverse ETL refers to the process of pushing real-time or near real-time data from the core databases or data warehouses to downstream applications or services for further processing or analysis.
Tapdata is a low-latency data movement platform that offers real-time data integration and services. It provides 100+ built-in connectors, supporting both cloud and on-premises deployment, making it easy for businesses to connect with various sources. The platform also offers flexible billing options, giving users the freedom to choose the best plan for their needs.

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