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SQLAlchemy VS OceanBase

Compare SQLAlchemy VS OceanBase and see what are their differences

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SQLAlchemy logo SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

OceanBase logo OceanBase

Unlimited scalable distributed database for data intensive transaction & real-time operational analytics workload, with ultra fast performance of maintaining the world record of both TPC-C and TPC-H benchmark tests.
  • SQLAlchemy Landing page
    Landing page //
    2023-08-01
Not present

OceanBase Database is a distributed relational database. It is developed entirely by Ant Group. The OceanBase Database is built on a common server cluster. Based on the Paxos protocol and its distributed structure, the OceanBase Database provides high availability and linear scalability. The OceanBase Database is not dependent on specific hardware architectures.

SQLAlchemy

Website
sqlalchemy.org
Pricing URL
-
$ Details
Release Date
-
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OceanBase

Website
en.oceanbase.com
Pricing URL
Official OceanBase Pricing
$ Details
Release Date
2021 June
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SQLAlchemy features and specs

  • Flexibility
    SQLAlchemy offers a high degree of flexibility for developers, allowing them to use raw SQL, an ORM, or a combination of both, which makes it adaptable to different use cases and preferences.
  • Database Agnosticism
    It supports a wide range of database backends (e.g., PostgreSQL, MySQL, SQLite) without needing to alter application code, facilitating easier transitions between databases.
  • Powerful ORM
    Its ORM component provides powerful object-relational mapping capabilities, making complex query construction and database interaction easier by using Pythonic objects.
  • Robust Query Construction
    SQLAlchemy offers advanced query construction capabilities, enabling developers to build complex and dynamic queries efficiently.
  • Comprehensive Documentation
    The library comes with extensive and well-maintained documentation, which helps in easing the learning curve and troubleshooting issues.

Possible disadvantages of SQLAlchemy

  • Learning Curve
    Due to its extensive features and flexibility, SQLAlchemy can have a steep learning curve for beginners, especially those new to databases or ORMs.
  • Complexity
    For simple CRUD applications, using SQLAlchemy might be overkill and adds unnecessary complexity compared to simpler ORM solutions like Django ORM.
  • Performance Overhead
    While powerful, the ORM layer may introduce some performance overhead compared to writing raw SQL, which can be a consideration for performance-critical applications.
  • Verbose Syntax
    The syntax, especially when using the ORM, can become verbose, which might be cumbersome for developers preferring succinct code.
  • Debugging Challenges
    Debugging complex object-relational mapping logic can be challenging, and pinpointing issues may require a deep understanding of both the database and SQLAlchemy's intricacies.

OceanBase features and specs

  • Transparent Scalability
    1,500 nodes, PB data and a trillion rows of records in one cluster.
  • Ultra-fast Performance
    TPC-C 707 million tmpC and TPC-H 15.26 million QphH @30000GB.
  • Cost Efficiency
    saves 70%–90% of storage costs.
  • Real-time Analytics
    supports HTAP without additional cost.
  • Continuous Availability
    RPO = 0(zero data loss) and RTO < 8s(recovery time).
  • MySQL Compatible
    easily migrated from MySQL database.

SQLAlchemy videos

+ Add

SQLAlchemy ORM for Beginners

More videos:

  • Review - SQLAlchemy: Connecting to a database
  • Review - Mike Bayer: Introduction to SQLAlchemy - PyCon 2014

OceanBase videos

+ Add

Architecture Insight of OceanBase: A Distributed SQL Database (Charlie Yang)

Category Popularity

0-100% (relative to SQLAlchemy and OceanBase)

SQLAlchemy

OceanBase

Databases
62 62%
Databases
38% 38
Relational Databases
0 0%
Relational Databases
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0
Development
100 100%
Development
0% 0

User comments

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Social recommendations and mentions

Based on our record, SQLAlchemy seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SQLAlchemy mentions (2)

  • Speak Your Queries: How Langchain Lets You Chat with Your Database
    Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 2 years ago
  • My favorite Python packages!
    SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 2 years ago

OceanBase mentions (0)

We have not tracked any mentions of OceanBase yet. Tracking of OceanBase recommendations started around Jun 2024.

What are some alternatives?

When comparing SQLAlchemy and OceanBase, you can also consider the following products

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

MySQL - The world's most popular open source database

Hibernate - Hibernate an open source Java persistence framework project.

TiDB - A distributed NewSQL database compatible with MySQL protocol

Entity Framework - See Comparison of Entity Framework vs NHibernate.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

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