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ease
features
design
support

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Description

Alembic serves as a streamlined database migration utility that integrates seamlessly with the SQLAlchemy database toolkit for Python, having been developed by the same creator of SQLAlchemy. Although it can be installed globally, it is generally preferred to set it up locally within a virtual environment, as it relies on various libraries, including SQLAlchemy and specific database drivers that are better suited for local usage. The tool has the capability to execute statements against a database, enabling modifications to the structure of tables and other database components. It also offers a framework for creating "migration scripts," each of which outlines a precise sequence of actions that can "upgrade" a database to a newer version, along with an optional path to "downgrade" back to a previous version, effectively reversing those actions. Alembic's configuration and operational processes are characterized by their flexibility and transparency. When first established, a new Alembic environment is created from a selection of templates chosen from a variety of available options, allowing for a customized setup tailored to user needs. This adaptability makes Alembic a valuable asset for developers looking to manage database schema changes efficiently.

Description

Oracle Database@AWS allows users to seamlessly transfer their Oracle Databases, encompassing Oracle Exadata workloads, to either the Oracle Exadata Database Service on Dedicated Infrastructure or the Oracle Autonomous Database on Dedicated Exadata Infrastructure hosted within AWS. This transition is designed to require little to no modifications to existing databases or applications, all while ensuring complete compatibility with features and architecture, as well as maintaining high performance and availability. Users can create low-latency connections between Oracle Database@AWS and their applications running on AWS, including those on Amazon Elastic Compute Cloud (Amazon EC2). Additionally, Oracle Database@AWS connects directly with AWS Analytics services via zero-ETL, facilitating the integration of data from Oracle and AWS, which enhances analytics capabilities and machine learning initiatives. Moreover, it supports integration with AWS generative AI services to foster rapid innovation. This comprehensive solution provides a cohesive experience for the collaborative aspects of purchasing, management, operations, and support, streamlining processes for businesses. Ultimately, this integration empowers organizations to leverage cloud technologies more effectively, driving efficiency and growth.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS IoT Analytics
Amazon EC2
Amazon Web Services (AWS)
Oracle Autonomous Database
Oracle Database
Oracle Exadata
Oracle Real Application Clusters (RAC)
PostgreSQL
Python
SQL Server
SQLAlchemy

Integrations

AWS IoT Analytics
Amazon EC2
Amazon Web Services (AWS)
Oracle Autonomous Database
Oracle Database
Oracle Exadata
Oracle Real Application Clusters (RAC)
PostgreSQL
Python
SQL Server
SQLAlchemy

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Alembic

Founded

2010

Country

United States

Website

alembic.sqlalchemy.org/en/latest/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/marketplace/featured-seller/oracle/

Product Features

Product Features

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