SeaTunnel 与 DataX 、Sqoop、Flume、Flink CDC 对比

Product Overview

Apache SeaTunnel is an easy-to-use, ultra-high-performance distributed data integration product that supports offline and real-time synchronization of massive amounts of data. It can stably and efficiently synchronize trillions of data every day, which has been applied to the production of hundreds of enterprises, and is also the first top-level data integration project led by Chinese people to contribute to the Apache Foundation.

SeaTunnel solves common problems in the field of data integration:

* Diverse data sources: There are hundreds of commonly used data sources, and the versions are incompatible. With the advent of new technologies, more data sources have emerged. Users can struggle to find tools that can fully and quickly support these data sources.

* Complex synchronization scenarios: Data synchronization needs to support multiple synchronization scenarios, such as offline-full synchronization, offline-incremental synchronization, CDC, real-time synchronization, and full database synchronization.

* High resource requirements: Existing data integration and data synchronization tools often require a large amount of computing resources or JDBC connection resources to complete real-time synchronization of a large number of small tables. This has increased the burden on enterprises to a certain extent.

* Lack of quality and monitoring: Data is often lost or duplicated during the data integration and synchronization process. There is a lack of monitoring during the synchronization process, and it is impossible to visualize the real situation of the data during the task.

* Complex technology stack: Enterprises use different technology components, and users need to develop corresponding synchronization programs for different components to complete data integration.

* Difficult management and maintenance: Data integration tools on the market are usually limited by different underlying technology components (Flink/Spark), which makes offline synchronization and real-time synchronization often developed and managed separately, which increases the difficulty of management and maintenance.

SeaTunnel products achieve a unified platform for data integration with high reliability, centralized management, and visual monitoring.

The platform can achieve standardized, standardized and interface-based operations, realize high-speed data synchronization, automatic switching from full to incremental lock-free, and currently support 100+ data sources, support the synchronization of the whole database and automatic change of table structure, and at the same time, the decentralized design ensures the high availability mechanism of the system, which is simple and easy to use and out-of-the-box.

Side-by-side comparison of similar products

Comparison Item: Apache SeaTunnelDataXApache SqoopApache FlumeFlink CDC is easy to deploy and easy to deploy, easy to rely on the Hadoop ecosystem, easy to medium, dependent on the Hadoop ecosystem The operation mode is distributed, and it also supports a single machine that is not a distributed framework and relies on Hadoop MR To achieve distributed distribution, it also supports single-machine distribution, and also supports single-machine robust fault-tolerant mechanismDecentralized high-availability architecture design, with a perfect fault-tolerant mechanism that is susceptible to factors such as network transience and data source instabilityMR mode is heavy, error handling troubles, there is a certain fault-tolerant mechanism, master-slave mode architecture design, fault tolerance granularity is relatively coarse, easy to cause delay, supported data source richness supports MySQL, PostgreSQL, Oracle, SQLServer, Hive, More than 100 data sources such as S3, RedShift, HBase, and Clickhouse support MySQL, ODPS, PostgreSQL, Oracle, Hive, etc., 20+ data sources only support MySQL, Oracle, DB2, Hive, HBase, S3 and other data sources, and Kafka, File, HTTP, Avro, HDFS, Hive, HBase and other data sources are supported MySQL, PostgresSQL, MongoDB, SQLServer and other 10+ data sources, less than much more medium memory resource occupation, less database connection (JDBC connection can be shared), more than much (one connection is required for each table), automatic table creation support, no support, no support for whole database synchronization, no support, no support, no support (each table needs to be configured once), breakpoint resumable upload support, not supported, not supported, not supported, not supported, multi-engine support, support SeaTunnel Zeta, Flink, and Spark can only run on DataX's own engine, but it needs to run on Hadoop MR, the task startup speed is very slow, Flume's own engine can only run on Flink, and the data conversion operator (Transform) supports Copy, Filter, Replace, Split, SQL, and custom UDFs Operators such as Filter, Null, SQL, and Custom UDFs are supported, and the performance of a single machine is 40% higher than that of DataX. 80%BetterGenerally goodOffline synchronization supportSupportT Kakfa and other connectors support extensibility, the plug-in mechanism is very easy to extend, easy to extend, limited scalability, Sqoop is mainly used to transfer data between Apache Hadoop and relational databases, easy to expand, easy to expand, statistics are available, there is no Web UI is being implemented (drag and drop can be completed), no none, and the scheduling system integration has been with DolphinScheduler integration, other scheduling systems will be supported in the future, no support, no support, no community, very active, very inactive, have retired from Apache, very inactive, very active

2.1. High availability and robust fault-tolerant mechanism

• • DataX only supports single-node data, while SeaTunnel and Flink CDC support clusters, so DataX is not supported in terms of high availability, and DataX is susceptible to data inconsistency due to factors such as network disconnection and unstable data sources.
• • Apache SeaTunnel has a decentralized high-availability architecture design and a complete fault tolerance mechanism, SeaTunnel supports a more fine-grained job rollback mechanism, combined with the multi-stage commit and CheckPoint mechanism, to ensure data consistency and avoid performance degradation caused by a large number of rollbacks
• • Flink CDC is designed in master-slave mode, with coarse fault tolerance, and when multiple tables are synchronized, any problems with any table on Flink will cause the entire job to fail and stop, resulting in a delay in the synchronization of all tables.

In terms of high availability, SeaTunnel and Flink CDC have great advantages

2.2. Deployment difficulty and operation mode

• • Apache SeaTunnel and DataX are easy to deploy.
• • Flink CDC is moderately difficult to deploy, but because it relies on the Hadoop ecosystem, it is more complex to deploy than SeaTunnel.

2.3. Richness of supported data sources

• • Apache SeaTunnel supports more than 100 data sources, including MySQL, PostgreSQL, Oracle, SQLServer, Hive, S3, RedShift, HBase, and Clickhouse.
• • DataX supports more than 20 data sources such as MySQL, ODPS, PostgreSQL, and Hive.
• • Flink CDC supports more than 10 data sources, such as MySQL, PostgreSQL, MongoDB, and SQLServer.

APACHE SEATUNNEL SUPPORTS THE SYNCHRONIZATION OF MULTIPLE DATA SOURCES SUCH AS RELATIONAL DATABASE, NOSQL DATABASE, DATA WAREHOUSE, REAL-TIME DATA WAREHOUSE, BIG DATA, CLOUD DATA SOURCE, SAAS, MESSAGE QUEUE, STANDARD INTERFACE, FILE, FTP, ETC., AND THE DATA CAN BE SYNCHRONIZED TO ANY SPECIFIED SYSTEM DATABASE, NOSQL DATABASE, DATA WAREHOUSE, REAL-TIME DATA WAREHOUSE, BIG DATA, CLOUD DATA SOURCE, SAAS, STANDARD INTERFACE, MESSAGE QUEUE, FILE AND OTHER TARGET DATA SOURCES. Enterprises and institutions have the vast majority of their needs for data flow. In this dimension, it is clear that the richness of the data sources supported by SeaTunnel is much higher than that of the other two.

2.4. Memory resource occupation

• • Apache SeaTunnel occupies less memory resources, and the Dynamic Thread Sharing technology of SeaTunnel Zeta engine can improve CPU utilization, and does not rely on complex components such as HDFS and Spark, providing better stand-alone processing performance.
• • DataX and Flink CDC occupy a lot of memory resources, and Flink CDC can only synchronize one table per job, and multiple jobs need to be started to run for multiple tables to synchronize, resulting in a huge waste of resources.

2.5. Database connection occupation

• • Apache SeaTunnel occupies less database connections, supports multi-table or full-database synchronization, solves the problem of excessive JDBC connections, and implements zero-copy technology without serialization overhead.
• • DataX and Flink CDC occupy a large number of database connections, and they can only process one table per task, and each table needs at least one JDBC connection to read or write data. When you synchronize multiple tables or entire databases, you need a large number of JDBC connections.

This is usually a great concern for DBAs, and data synchronization cannot affect the normal operation of the business database, so it is necessary to control the number of connections.

2.6. Automatic table creation

• • Apache SeaTunnel supports automatic table creation.
• • DataX and Flink CDC do not support automatic table creation.

2.7. Synchronization of the whole database

• • Apache SeaTunnel is designed to support full database synchronization, which is convenient for users to use, and does not need to write the configuration for each table.
• • DataX and Flink CDC do not support whole-database synchronization, and each table needs to be configured separately.

Imagine when you have hundreds of tables, each of which is configured individually, isn't it still too much work!

2.8. Breakpoint resumption

Apache SeaTunnel and Flink CDC can support resumable data transfer, but DataX does not support resumable upload.

2.9. Multi-engine support

• • Apache SeaTunnel supports one of three engines: SeaTunnel: Zeta, Flink, and Spark as the runtime.
• • DataX can only run on DataX's own engine.
• • Flink CDC 只能运行在 Flink 上。

In terms of engine support richness, SeaTunnel has a better advantage.

2.10. Data conversion operator

• • Apache SeaTunnel supports operators such as Copy, Filter, Replace, Split, SQL, and custom UDFs.
• • DataX supports operators such as completion and filtering, and you can also use Groovy custom operators.
• • Flink CDC supports operators such as Filter, Null, SQL, and custom UDFs.

In terms of data transformation, these three support levels are similar.

2.11. Performance

Because DataX is only available in a stand-alone version, it is a stand-alone device to compare performance

DataX and Flink CDC have better stand-alone performance. However, Apache SeaTunnel's stand-alone performance is about 40%-80% higher than DataX.

Some contributors in the community have done tests, and the test scenarios are as follows:

本地测试场景：MySQL-Hive, Postgres-Hive, SQLServer-Hive, Orache-Hive

Cloud test scenario: MySQL-S3

Number of columns: 32, basically including most data types

Number of rows: 3000w rows

Hive file text format 18G

Test node: Stand-alone 8C16G

Test Results:

In the local test scenario: SeaTunnel Zeta VS DataX

SeaTunnel Zeta syncs data around 40-80% faster than DataX. At the same time, SeaTunnel Zeta uses less memory than DataX and is much more stable.

In cloud data synchronization scenarios: SeaTunnel performs more than 30 times better than Airbyte in MySQL to S3 scenarios, and 2 to 5 times better than AWS DMS and Glue.

Screenshot of the test results

These results are due to the SeaTunnel Zeta engine, which has been carefully designed for data synchronization scenarios:

• • No need to rely on third-party components, no dependence on the big data platform (self-selected master)
• • The Write Ahead Log mechanism allows you to quickly restore previously running jobs even if the entire cluster restarts
• • Efficient distributed snapshot algorithm to ensure data consistency

2.12. Offline synchronization

Apache SeaTunnel, DataX, and Flink CDC all support offline synchronization, but SeaTunnel supports far more data sources than DataX and Flink CDC.

2.13. Incremental synchronization & real-time synchronization

• • Apache SeaTunnel, DataX, and Flink CDC all support incremental synchronization.
• • Apache SeaTunnel and Flink CDC support real-time synchronization. However, DataX does not support real-time synchronization.

2.14. CDC synchronization

• • Apache SeaTunnel and Flink CDC support CDC synchronization.
• • DataX does not support CDC sync.

Change Data Capture (CDC) is an important technology for real-time data synchronization, which can capture the changes that occur in the data source, so as to achieve real-time update and synchronization of data. With the increase in the amount of data and the speed of data updates, the traditional batch synchronization method can no longer meet the requirements of real-time and immediacy. CDC technology captures and communicates data changes in an event-driven manner, making data synchronization more flexible, efficient, and accurate.

In the CDC synchronization space, SeaTunnel stands out as a powerful data synchronization tool. Here are the benefits of SeaTunnel's support for CDC sync:

1. 1. Real-time: SeaTunnel can capture changes in source data in real time and deliver the changed data to the target in real time. This means that when the source data changes, SeaTunnel is able to capture those changes immediately and synchronize them to the target data store in the shortest amount of time. This real-time nature makes SeaTunnel ideal for applications that require fast response times and timely updates.
2. 2. Accuracy: SeaTunnel is able to accurately capture and synchronize data changes through CDC technology, avoiding the data inconsistencies that can exist in traditional batch syncs. It can accurately track and record every change in the source data, ensuring the accuracy and consistency of the target data. This is important for businesses that need to maintain data consistency and accuracy.
3. 3. Efficiency: Since CDC synchronization only transmits changed data, SeaTunnel can significantly improve the efficiency and performance of synchronization compared to full data synchronization. SeaTunnel only needs to process changing data, avoiding unnecessary data transfer and processing, saving bandwidth and computing resources. This efficiency enables SeaTunnel to cope with the synchronization of large-scale data and high-frequency data changes.
4. 4. Reliability: SeaTunnel ensures reliability and fault tolerance for data synchronization by employing a reliable CDC mechanism. It can cope with abnormal situations such as network interruptions and abnormal data sources, and ensure the continuity and stability of data synchronization. SeaTunnel's fault-tolerant mechanism ensures that even under unusual circumstances, data synchronization is not lost or error-free.
5. 5. Multi-data source support: SeaTunnel supports CDC synchronization of multiple mainstream data sources, including MySQL, PostgreSQL, Oracle, SQLServer, etc. This allows SeaTunnel to adapt to different types of data sources and meet the synchronization needs of a variety of complex data environments. SeaTunnel seamlessly integrates with disparate data sources for a flexible and scalable CDC synchronization solution.

As a powerful data synchronization tool, SeaTunnel can meet the CDC synchronization requirements in different business scenarios through its outstanding advantages such as real-time, accuracy, efficiency, reliability, and multi-data source support. Whether it's data warehouse synchronization, real-time data analysis, or real-time data migration, SeaTunnel provides a reliable CDC synchronization solution to help users update and synchronize data in a timely manner.

2.15. Integration of batch flow

• • Apache SeaTunnel and Flink CDC support batch-stream integration.
• • DataX does not support batch-stream integration.

SeaTunnel and Flink CDC provide a unified batch-streaming integrated framework: SeaTunnel provides an all-in-one framework that allows users to process batch data and real-time data at the same time, without the need to configure batch synchronization once and then configure it again in real time. Through SeaTunnel's flexible configuration, users can combine the logic of batch processing and stream processing, and the synchronization of batch and stream can be changed to the difference of mode only need to be configured, which greatly simplifies development and maintenance, and improves the flexibility and efficiency of data processing.

2.16. Precise consistency

• • Apache SeaTunnel supports precise consistency of connectors such as MySQL, Kafka, Hive, HDFS, and File.
• • DataX does not support exact consistency.
• • Flink CDC supports precise consistency of connectors such as MySQL, PostgreSQL, and Kakfa.

SeaTunnel's precise consistency is achieved thanks to the design of SeaTunnel's Sink & Source API, which ensures consistency in the data synchronization process by implementing Two-Phase Commit (2PC) for databases such as MySQL. Two-phase commit is a distributed transaction protocol used to achieve consistency in data operations across multiple participants in a distributed system.

Through the above two-phase submission process, SeaTunnel is able to ensure consistency during the data synchronization process. SeaTunnel enables atomicity and consistency of data operations in a distributed environment. Under normal circumstances, all participants successfully performed data operations and submitted data, while in exceptional cases, participants were able to roll back previous data operations to ensure data consistency. This mechanism enables SeaTunnel to provide reliable data consistency assurance in distributed data synchronization. Its sink API is as follows:

2.17. Scalability

• • Apache SeaTunnel, DataX, and Flink CDC are all easily extensible and support plug-in mechanisms.

All three are plugged-in, allowing users to extend their functionality by writing custom plugins. Plug-ins can add new data sources, data transformation operators, and data processing logic. This allows users to customize and expand the functionality according to their needs.

In addition to this, Apache SeaTunnel is already integrated with DolphinScheduler and plans to support other scheduling systems. Currently, neither DataX nor Flink CDC supports integration with scheduling systems.

SeaTunnel integrates with other tools and systems very easily. SeaTunnel provides an integrated interface with common scheduling systems, task scheduling frameworks, and data ecosystems. Through these interfaces, users can seamlessly integrate SeaTunnel with existing tools and systems, enabling greater data processing and scheduling capabilities.

2.18. Statistical monitoring information

• • Both Apache SeaTunnel and DataX have statistics.
• • There are no statistics for Flink CDC.

Anyone who has done data synchronization should know how painful it is to not know the progress and rate of data synchronization, but fortunately, SeaTunnel has launched the SeaTunnel web monitoring page, which provides multi-dimensional monitoring information to make data synchronization clear at a glance

2.19. Visual operation

• • Apache SeaTunnel is being implemented and can be done by dragging and dropping.
• • DataX and Flink CDC do not have a web UI.

SeaTunnel provides the following visual interfaces for users to use out of the box:

2.20. Community

• • The Apache SeaTunnel and Flink CDC communities are very active.
• • DataX 社区活跃度低。

SeaTunnel's active community and strong ecosystem are also key to its success. As an open-source project, SeaTunnel has a large community of developers and users who have contributed immensely to the development and improvement of SeaTunnel. Abundant documentation, case studies, and sample code, as well as active technical exchanges, enable users to better understand and use SeaTunnel, and solve problems encountered in a timely manner. This active community support provides users with a strong backing that guarantees the continued development and improvement of SeaTunnel.

In particular, the advantages of our Flink CDC SeaTunnel Zeta engine are as follows:

Flink is a very good stream computing engine, and Zeta is specially built for this scenario, which is more suitable for high-performance data synchronization scenarios!

summary

Apache SeaTunnel is a powerful data synchronization and transformation tool that is indispensable for data engineers due to its ease of deployment, fault tolerance, data source support, performance advantages, feature richness, and active community support.

SeaTunnel is able to meet the needs of all sizes and types of data processing, providing users with efficient, stable, and flexible data processing solutions. As the data landscape continues to evolve and evolve, SeaTunnel will continue to play a leading role in data synchronization and transformation to drive data-driven business growth.