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Datomic VS ApexSQL

Compare Datomic VS ApexSQL and see what are their differences

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database

ApexSQL logo ApexSQL

ApexSQL is a complete suite of tools intended for SQL servers for DBAs and developers that streamlines and automates SQL Server database management and development processes.
  • Datomic Landing page
    Landing page //
    2023-09-14
  • ApexSQL Landing page
    Landing page //
    2023-06-10

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.

ApexSQL features and specs

  • Comprehensive Toolset
    ApexSQL offers a wide range of tools for SQL Server management, development, and data governance, providing comprehensive solutions for database professionals.
  • Ease of Use
    The user interface is intuitive and user-friendly, which can help new users and seasoned professionals alike navigate and utilize its features effectively.
  • Automation Features
    ApexSQL enables automation of various tasks through its command-line interface (CLI) and scheduling options, saving time and reducing manual efforts.
  • Data Integrity and Recovery Options
    It provides robust solutions for data comparison, synchronization, and disaster recovery, enhancing data integrity and providing quick recovery options.
  • Customer Support
    ApexSQL offers reliable customer support services, including detailed documentation and responsive technical help.

Possible disadvantages of ApexSQL

  • Cost
    ApexSQL can be expensive, especially for smaller organizations or individual users, as it's typically sold through subscription models.
  • Performance Issues with Large Databases
    Users have reported performance issues or slowdowns when working with very large databases, which could affect efficiency in certain scenarios.
  • Limited Compatibility
    ApexSQL is primarily focused on SQL Server, so it's limited in compatibility with other database systems, which might be a drawback for users managing diverse environments.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering the more advanced functionalities may require time and effort, as well as familiarity with SQL Server.

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

ApexSQL videos

An introduction to ApexSQL Complete

More videos:

  • Review - ApexSQL Log - Software Review
  • Review - ApexSQL Monitor - General Overview

Category Popularity

0-100% (relative to Datomic and ApexSQL)
Databases
64 64%
36% 36
NoSQL Databases
64 64%
36% 36
Network & Admin
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Datomic and ApexSQL

Datomic Reviews

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ApexSQL Reviews

Best SQL Server Development Tools for Developers and DBAs (2026)
The toolkit is explicitly positioned for database DevOps. Quest frames ApexSQL as a way to orchestrate SQL Server changes inside CI/CD pipelines, with support for automated builds, unit testing, and code reviews. A key differentiator is its focus on governance at scale: the toolkit includes rule-based code quality enforcement, a library of 100+ prewritten rules, and full CLI...
Source: quickref.me

What are some alternatives?

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

MySQL - The world's most popular open source database

4D - 4D is a relational database management system and IDE.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

LiveCode Platform - It is Both Under the GPL and it is also Proprietary if using the GPL version the software you make...

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

ESM Tools - ESM Tools is a powerful and widely known software development platform that comes with a centralized model infrastructure, providing the common frame for compiling, running, downloading, and organizing models (ones or multiple).