As enterprises develop better and better in information construction , In the process of development, a large number of data management systems with different storage methods have been accumulated , From simple file database to complex network database , They constitute multi-source heterogeneous data , To complete a job , Enterprise applications may need to access data in multiple data management systems distributed in different locations on the network . At this time, data integration is needed , So how to choose data integration tools for you ？
How to choose data integration tools ？ Generally speaking, the following aspects need to be considered ：
The first aspect ： Support for the platform .
The second aspect ： Support for data sources .
The third aspect ： Is the performance of extraction and loading high , And has little impact on the performance of the business system , Is the inclination high .
The fourth aspect ： Is the function of data conversion and processing strong .
The fifth aspect ： Whether it has management and scheduling functions .
The sixth aspect ： Whether it has good integration and openness
According to the above criteria , At present, there are many in the market that meet the above standards , Next, I recommend several mainstream data integration tools .
big data
Data integration tools are divided into domestic and foreign ：
Foreign data integration product tools include ：
Teradata It's one of the top ten listed software companies in the United States , at present Teradata Tianrui has become the world's largest company focusing on big data analysis 、 One of the suppliers of data warehouse and integrated marketing management solutions . By way of MPP The advantages of data warehouse and MapReduce Engine combination , Aster Big data exploration platform has become the killer mace in the field of data analysis , Provide interactive analysis function for users , Dig quickly 、 Deal with the business value hidden in the data .
Informatica Is the world's leading provider of data management software . It can help enterprises improve data quality while , visit 、 Find out 、 cleaning 、 Integrate and deliver data , To improve operational efficiency and reduce operational costs . for example Informatica PowerExchange Is a series of data access products , It ensures that IT Organizations can access and deliver key data anywhere, anytime, as needed throughout the enterprise . With this ability ,IT Organizations can optimize the business value of limited resources and data .Informatica PowerExchange Support many different data sources and various applications , Including enterprise applications 、 Database and data warehouse 、 The mainframe 、 Medium system 、 Messaging systems and technical standards .
Domestic mature and stable product tools include ：
Kettle It was originally an open source ETL Tools , Support 100% No code 、 Drag and drop development ETL Data pipeline ; Dockable includes traditional databases 、 file 、 Big data platform 、 Interface 、 Stream data and other data sources ; Support ETL Adding machine learning algorithm to data pipeline . Its advantages are ：1. No code drag and drop to build data pipeline .2. Multi data source docking .
Nexadata It is a data platform independently developed based on code free automatic data integration technology , It can help enterprises quickly connect isolated island systems without code and get through heterogeneous systems , Build cloud native intelligent data pipeline , Create an automated data service platform .
I hope the above answers can help you , If necessary , You can go to their official website to learn more , You can experience it for free .
