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Datomic VS MarkLogic Server

Compare Datomic VS MarkLogic Server and see what are their differences

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database

MarkLogic Server logo MarkLogic Server

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
  • Datomic Landing page
    Landing page //
    2023-09-14
  • MarkLogic Server Landing page
    Landing page //
    2023-07-27

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.

MarkLogic Server features and specs

  • Multi-Model Database
    MarkLogic Server is a multi-model database that supports documents, graphs, and relational data, allowing for versatility in storing and managing various data types.
  • Enterprise Features
    Includes enterprise-grade features such as ACID transactions, built-in search capability, scalability, high availability, and disaster recovery.
  • Security
    Offers advanced security controls including role-based access, encryption, and auditing, which are crucial for handling sensitive and regulated data.
  • Integrated Search
    Provides powerful search capabilities out-of-the-box, which can index and search text, structure, and metadata across all data types efficiently.
  • Data Integration
    Facilitates data integration from multiple sources, supporting seamless interoperability and operational data hubs, which is beneficial for complex data environments.

Possible disadvantages of MarkLogic Server

  • Complexity and Learning Curve
    While rich in features, it may have a steep learning curve for new users, which could lead to a longer setup and training time.
  • Cost
    Can be expensive, especially for smaller organizations, as it comes with licensing costs typical of enterprise-grade software.
  • Vendor Lock-in
    Using a proprietary database like MarkLogic can create risks of vendor lock-in, potentially complicating data migrations to other platforms if needed.
  • Limited Community Support
    Compared to open-source alternatives, there might be less community support available, which can be a drawback for troubleshooting or finding resources.
  • Performance Overhead
    Due to its extensive feature set, there can be performance overhead, requiring careful management and optimal configuration to achieve desired performance.

Datomic videos

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

More videos:

  • Review - "Real-World Datomic: An Experience Report" by Craig Andera (2013)
  • Review - Rich Hickey on Datomic Ions, September 12, 2018

MarkLogic Server videos

No MarkLogic Server videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Datomic and MarkLogic Server)
Databases
59 59%
41% 41
Relational Databases
58 58%
42% 42
Network & Admin
55 55%
45% 45
NoSQL Databases
67 67%
33% 33

User comments

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What are some alternatives?

When comparing Datomic and MarkLogic Server, you can also consider the following products

MySQL - The world's most popular open source database

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Matisse - Matisse is a post-relational SQL database.

Google Cloud Datastore - Cloud Datastore is a NoSQL database for your web and mobile applications.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

PlanetScale - The last database you'll ever need. Go from idea to IPO.