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ApexSQL VS Datahike

Compare ApexSQL VS Datahike and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Datahike logo Datahike

A durable datalog database adaptable for distribution.
  • ApexSQL Landing page
    Landing page //
    2023-06-10
  • Datahike Landing page
    Landing page //
    2023-08-22

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.

Datahike features and specs

  • Persistence
    Datahike is a persistent database, which means that it retains data across sessions and can be relied upon for storage that survives application restarts.
  • Datalog queries
    Datahike supports Datalog queries, a powerful and expressive query language that is similar to Prolog, allowing for complex querying of data relationships.
  • Schema flexibility
    Datahike provides schema flexibility that allows developers to define and evolve their data models without needing to perform migrations. This can significantly speed up development.
  • Immutable data structures
    By utilizing immutable data structures, Datahike allows safe concurrent reads and writes, reducing the risk of data corruption and improving application stability.
  • Transactional support
    Datahike offers ACID-compliant transactions, ensuring data integrity and consistent state even in the face of concurrent operations.
  • Integration with Datomic API
    Datahike is designed to be compatible with the Datomic API, making it easier for developers familiar with Datomic to transition and leverage their knowledge.
  • Off-the-shelf scalability
    The architecture of Datahike is conducive to scaling horizontally, providing flexibility to handle growing amounts of data and user load.

Possible disadvantages of Datahike

  • Relatively new ecosystem
    Being a lesser-known and newer alternative compared to databases like Datomic, Datahike may have a smaller community and fewer resources like documentation and third-party integrations.
  • Performance limitations
    While Datahike is designed to be lightweight and flexible, it may not match the performance of more mature databases, especially in very high-load or high-volume scenarios.
  • Limited features
    Datahike may lack some advanced features present in other databases, such as sophisticated indexing or native support for certain types of analytics, which could be necessary for specific applications.
  • Java Virtual Machine (JVM) requirement
    As it runs on the JVM, Datahike requires a Java runtime environment, which might not be ideal or convenient for projects seeking to minimize dependencies or employ lightweight deployment strategies.

ApexSQL videos

+ Add

An introduction to ApexSQL Complete

More videos:

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

Datahike videos

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

Add video

Category Popularity

0-100% (relative to ApexSQL and Datahike)

ApexSQL

Datahike

Databases
35 35%
Databases
65% 65
NoSQL Databases
55 55%
NoSQL Databases
45% 45
Relational Databases
13 13%
Relational Databases
87% 87
Development
100 100%
Development
0% 0

User comments

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Social recommendations and mentions

Based on our record, Datahike seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ApexSQL mentions (0)

We have not tracked any mentions of ApexSQL yet. Tracking of ApexSQL recommendations started around Dec 2021.

Datahike mentions (4)

  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / over 1 year ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: almost 2 years ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / about 3 years ago
  • Show HN: Matrix-CRDT – real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 3 years ago

What are some alternatives?

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

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

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

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

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

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).

Datomic - The fully transactional, cloud-ready, distributed database

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