Datomic was created in 2012 by Rich Hickey and the company Cognitect. It was developed to address the limitations of traditional databases in handling immutable data and providing a clear audit trail. The goal was to separate transaction processing from queries, ensuring scalability and flexibility for applications requiring complex queries and historical data analysis.
Datomic
Datomic is a distributed database system designed to enable scalable, flexible, and intelligent applications. It separates transaction processing from queries, allowing it to handle a large volume of reads efficiently. Datomic stores immutable data, providing a time-based model that maintains historical data and supports complex queries with ACID transactions. It is particularly suited for applications requiring a clear audit trail and temporal data analysis.
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About Datomic
Datomic's strengths include its immutable data model, strong support for historical data analysis, and separation of transaction processing from queries, which enhances scalability and flexibility. Its weaknesses involve complexity in setup and management, as well as potential costs associated with its cloud-based offerings. Competitors include traditional relational databases like PostgreSQL, NoSQL databases like MongoDB, and other immutable data stores like Apache Cassandra.
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How to hire a Datomic expert
A Datomic expert must have proficiency in Clojure, as Datomic is designed with it in mind. They should understand Datomic's architecture, including its immutable data model and time-based data handling. Expertise in writing Datalog queries for complex data retrieval is essential. Familiarity with distributed systems concepts and experience with cloud platforms like AWS, where Datomic Cloud operates, are also important. Knowledge of transaction processing and ACID principles is crucial for managing data integrity in Datomic.
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