Enterprise 8.0 Plan
Custom Configuration
$ Custom / Month
$ Custom / Month
MySQL supports many websites, ecommerce platforms, and business applications. Moving MySQL to a managed cloud service can reduce routine infrastructure work while improving options for scaling, backup, monitoring, and high availability.
Vast Edge supports MySQL migration and managed database configurations across OCI, AWS, Google Cloud, and Azure. The scope can include version planning, replication, load balancing, backup, security hardening, testing, and post-migration support.
MySQL provides a widely supported relational database for web and business applications. Teams can deploy it in self-managed or managed cloud environments based on their performance, availability, security, and operating requirements.
Where appropriate, analytics tools can connect to MySQL data for reporting, forecasting, and anomaly detection. Validate the data architecture and access controls before adding analytics workloads to a production database.
With Amazon RDS, AWS offers MySQL replication capabilities to simplify the process of migrating data to Amazon RDS by running MySQL. The flexibility of RDS helps manage scaling, backups, restores, patches, and availability and launch a relational database instance in minutes.
Migrating MySQL database to Aurora orchestrates an incredible scale-out and enterprise-grade performance while reducing data loss and maintain a very low replication lag. Data in the cluster volume is represented as a single, logical volume to write and read replicas within the Aurora DB cluster. Amazon Aurora configuration with MySQL ensures cost-effectiveness and faster recovery leveraging enhanced recovery time of databases.
MySQL and Oracle Database are complementary databases and are well-equipped for different scenarios. Vast Edge uses SQL Developer which is a fully compatible platform with both of the technologies and provides tools and utilities for hassle-free migration. Vast Edge configures top-notch benefits into enterprises architecture including:
* Reduce Costs
* Hardware and Software Consolidation
* Improve Reliability, Scalability, and Performance
* Migrations Repository for metadata storage
To configure the third-party database connection, you first need to download the JDBC driver. Other important steps are
This step is used to capture a snapshot of the current state of your database and provides a "point in time" view of your database. Afterwards, the Migration wizard works on the meta-data stored in a repository for capturing live databases.
In this step, the captured model of the database is mapped to an Oracle-specific model. It contains data types, naming schemes etc. defined by your database vendor. Once the migration has completed, you can return the Captured Database Objects node and rerun the wizard from this point.
Here, the T-SQL objects including constraints, functions, procedures, triggers, and views are translated to Oracle SQL objects. Afterward, you can return the Converted Database Objects node to translate objects again.
Vast Edge orchestrates a powerful Visual Studio plugin designed to simplify MySQL database development and enhance data management capabilities. We further provide an easier way to explore and maintain existing databases, design compound SQL statements and queries, and manipulate data in different ways.
For integrating APEX to MySQL DB, you need to download MySQL ODBC driver. It works like a charm as long as there is no network bottleneck. Here is a stepwise description of how to add APEX to MySQL DB:
Step:1
Add a new file:
Step:2
Update your Listener.ora
...
(SID_DESC=
(SID_NAME=MYSQL_DB)
(ORACLE_HOME=F:\oracle\app\oracle\product\10.2.0\server)
(PROGRAM=hsodbc)
)...
Step:3
Update your TNSNAMES.ora and restart your Listener:
...
MYSQL_DB =
(DESCRIPTION=
(ADDRESS=(PROTOCOL=tcp)(HOST=192.168.0.1)(PORT=1521))
(CONNECT_DATA=(SID=MYSQL_dB))
(HS=OK)
)...
Step:4
Create a database link inside your database:
create database link MYSQL_DB
connect to "test_db" identified by "test_db"
using 'MYSQL_DB';
)...
Step 5 : SQL> select * from test_table@MYSQL_DB;