RethinkDB

Website

rethinkdb.com

Pricing URL

-

$ Details

Categories

#Databases #NoSQL Databases #Relational Databases #Graph Databases

Datomic

Website

datomic.com

Pricing URL

Official Datomic Pricing

$ Details

-

Categories

#Databases #Relational Databases #NoSQL Databases #Network & Admin

RethinkDB features and specs

• Real-time Capabilities
  RethinkDB offers built-in real-time capabilities that allow applications to subscribe to data changes. This makes it ideal for building real-time applications like live dashboards, multiplayer games, or collaborative tools.
• Flexible Query Language
  RethinkDB's query language, ReQL, is highly flexible and allows for complex queries. It supports operations such as joins, aggregations, and transformations directly within the database.
• Distributed Database
  RethinkDB is designed to be distributed from the ground up. It can automatically replicate data and distribute queries across multiple machines to improve scalability and fault tolerance.
• Web-based Administration
  RethinkDB provides a user-friendly web-based administration interface that simplifies database management and monitoring. This interface makes it easier for developers and system administrators to manage their databases.
• JSON Data Model
  RethinkDB uses JSON as its data model, which makes it easy to store and work with structured data. This can be especially beneficial for web developers who are used to working with JSON data.

Possible disadvantages of RethinkDB

• Limited Ecosystem
  Compared to more established databases like MySQL or MongoDB, RethinkDB has a smaller ecosystem. This means fewer third-party tools, libraries, and community support are available.
• Stalled Development
  After the company behind RethinkDB shut down in 2016, the development slowed significantly. Although the project was later open-sourced and the community keeps it alive, the updates and new features are not as frequent.
• Learning Curve
  While ReQL is powerful, it can have a steep learning curve for developers who are new to RethinkDB or who are more familiar with SQL or other NoSQL query languages.
• Resource Intensive
  RethinkDB can be more resource-intensive compared to some other databases. It may require more RAM and CPU resources to achieve optimal performance, which can be a consideration for resource-constrained environments.
• Fewer Enterprise Features
  RethinkDB lacks some enterprise-level features such as advanced security options, comprehensive backup solutions, and robust user management compared to other database systems like MongoDB or PostgreSQL.

Datomic features and specs

• 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 of Datomic

• 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.

Mike Glukhovsky - RethinkDB Year in Review 2015

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

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