With the development of healthcare information technology industry, we have accumulated a lot of business data, how data mining, data visualization is on the agenda,
hospitals usually have a lot of information systems, they are from different vendors using database products how unified data aggregation, data sharing is also a big problem.
Currently there is a data exchange software TreeSoft database management system that can achieve the automatic exchange of heterogeneous data synchronization
currently supports MySQL, Oracle, SQL Server, PostgreSQL , mongoDB, Hive, SAP HANA, Caché, Cache and other databases.
It supports the following data synchronization program, a good strong!
1, MySQL synchronization data to Oracl
2, the MySQL synchronization data to the PostgreSQL
. 3, the MySQL synchronization data to the SQL Server
. 4, the MySQL synchronization data to MongoDB
. 5, the MySQL synchronization data to the DB2
. 6, the MySQL synchronization data to Caché
. 7, the MySQL synchronization data to HANA
8, Oracle synchronization data to the MySQL
. 9, the Oracle synchronization data to the PostgreSQL
10, the Oracle synchronization data to the SQL Server
. 11, the Oracle synchronization data to MongoDB
12 is, the Oracle synchronization data to the DB2
13 is, the Oracle synchronization data to Caché
14, the Oracle synchronization data to HANA
15, PostgreSQL synchronization data to the MySQL
16, the PostgreSQL synchronization data to the Oracle
. 17, the PostgreSQL synchronization data to the SQL Server
18 is, the PostgreSQL synchronization data to MongoDB
. 19, the PostgreSQL synchronization data to the DB2
20 is, the PostgreSQL synchronization data to Caché
21 is, the PostgreSQL synchronization data to HANA
22, MongoDB synchronization data to the MySQL
23 is, MongoDB synchronization data to the Oracle
24, synchronization data to PostgreSQL MongoDB
25, MongoDB synchronize data to SQL Server
26, SQL Server sync data to MongoDB
27, SQL Server sync data to MySQL
28, SQL Server sync data to Oracl
29, SQL Server sync data to PostgreSQL
30, SQL Server sync data to the DB2
31, SQL Server synchronization data to Caché
32, SQL Server synchronization data to HANA
33 is, Caché synchronization data to Oracl
34 is, Caché synchronization data to the PostgreSQL
35, Caché synchronization data to the SQL Server
36, Caché synchronization data to MongoDB
37 [, Caché synchronization data to MySQL
38, HANA synchronization data to Oracl
39, HANA synchronization data to PostgreSQL
40, HANA synchronization data to the SQL Server
41 is, HANA synchronization data to MongoDB
42 is, HANA synchronization data to the MySQL
43 is, HANA synchronization data to Oracl
44 is, HANA synchronization data to PostgreSQL
45, HANA Server synchronization data to the SQL
46 is, HANA synchronization data to MongoDB
47, HANA synchronization data to the MySQL
48, synchronization data to the DB2 Oracl
49, DB2 synchronization data to the PostgreSQL
50, the DB2 Server synchronization data to the SQL
51 is, synchronization data to the DB2 MongoDB
52 is, the DB2 synchronization data to the MySQL
...... ...... rapid increase in
1, the source and target configuration data
may configure multiple data sources, i.e., saving effect.
2, synchronization of configuration data exchange task
data sources, data extraction rule, scheduling rules by direct configuration page, is very user-friendly.
3, run the task
batch jobs to run the batch stop, automatic operation and other functions is very convenient and practical!
4. Check the operation and the log
by linking task list, open the log page, view the task run results.