Backand VS Datomic

• Rapid Development
  Backand provides pre-built backend services that speed up the development process, allowing developers to focus more on front-end development and less on server-side coding.
• Ease of Integration
  It offers easy integration with AngularJS and other popular front-end frameworks, which simplifies the process of building full-stack applications.
• Scalability
  As a cloud-based backend service, Backand can easily scale with the needs of the application, accommodating a growing number of users and data without additional infrastructure concerns.
• Built-in Security
  Provides built-in authentication and security measures, which ensures a secure environment for applications without requiring extensive effort from developers.

Possible disadvantages

• Pricing Model
  While there is a free tier, more advanced features and higher usage require a paid subscription, which might not be cost-effective for all projects.
• Limited Customization
  Backand's nature as a backend-as-a-service may limit developers in terms of customizability and fine-tuning server-side logic compared to building a backend from scratch.
• Learning Curve
  Developers unfamiliar with backend-as-a-service (BaaS) solutions may face a learning curve in understanding how to effectively use the platform and integrate it into their projects.
• Dependency on Service
  Relying on a third-party service means that any downtime or changes in the service could directly impact the applications using Backand, potentially leading to instability or the need for rewriting parts of the application.

• Immutability
  Datomic employs an append-only data model where data is never overwritten but instead appended, ensuring historical data is always available and providing strong consistency.
• Time Travel Queries
  Datomic allows you to query the database as of any point in time, facilitating auditing and debugging by allowing easy access to historical data states.
• Rich Data Model
  Supports complex data types like maps and sets directly within its schema, providing a flexible way to represent data.
• ACID Transactions
  Datomic supports fully ACID-compliant transactions, ensuring reliable and predictable database operations.
• Scalability
  Separates storage and compute, allowing for horizontal scaling of read operations, making it suitable for handling large datasets.
• Query Flexibility
  Offers a powerful query language that supports recursive queries, making it suitable for complex data retrieval needs.

Possible disadvantages

• Complexity
  The architecture of Datomic can be complex to understand and implement, particularly for teams unfamiliar with its design principles.
• Cost
  Can be expensive to operate, especially in a cloud environment, where costs increase with the amount of data stored and the compute resources required.
• Limited Write Throughput
  Due to its append-only design, Datomic can have limited write throughput, which may not be suitable for applications with heavy write requirements.
• Closed Source
  Datomic is a proprietary database system, which may not appeal to organizations that prefer open-source solutions.
• Learning Curve
  Requires a learning curve as its conceptual model and query language are different from traditional databases, potentially requiring additional training.
• Dependency on AWS
  Relying on AWS ecosystem for the storage backend can limit choices for deployment environments, impacting flexibility.

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KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas

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