Software Alternatives, Accelerators & Startups
Register | Login

Dragonfly DB VS Apache Ignite

Compare Dragonfly DB VS Apache Ignite and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dragonfly DB logo Dragonfly DB

Dragonfly - Scalable in-memory datastore made simple

Apache Ignite logo Apache Ignite

high-performance, integrated and distributed in-memory platform for computing and transacting on...
  • Dragonfly DB Landing page
    Landing page //
    2023-09-19
  • Apache Ignite Landing page
    Landing page //
    2023-07-08

Dragonfly DB features and specs

No features have been listed yet.

Apache Ignite features and specs

  • In-Memory Data Grid
    Apache Ignite provides a robust in-memory data grid that can drastically improve data access speeds by storing data in memory across distributed nodes.
  • Scalability
    The system is designed to scale horizontally, allowing users to add more nodes to handle increased loads, thereby ensuring high availability and performance.
  • Distributed Compute Capabilities
    Ignite supports parallel execution of tasks across cluster nodes, which is beneficial for complex computations and real-time processing.
  • Persistence
    Although primarily in-memory, Ignite offers a durable and transactional Persistence layer that ensures data can be persisted on disk, providing a hybrid in-memory and persistent storage solution.
  • SQL Queries
    Ignite offers support for ANSI-99 SQL, which allows users to execute complex SQL queries across distributed datasets easily.
  • Integration
    It integrates well with existing Hadoop and Spark setups, allowing users to enhance their existing data pipelines with Ignite’s capabilities.
  • Fault Tolerance
    Apache Ignite includes built-in mechanisms for recovery and ensures that data copies are maintained across nodes for resilience against node failures.

Possible disadvantages of Apache Ignite

  • Complexity
    Apache Ignite can be complex to set up and manage, especially when configuring a large, distributed system with multiple nodes.
  • Resource Intensive
    Running an in-memory data grid like Ignite requires significant memory resources, which can increase operational costs.
  • Learning Curve
    Due to its comprehensive features and distributed nature, there is a steep learning curve associated with effectively utilizing Ignite.
  • Configuration Overhead
    There is substantial configuration overhead involved to optimize performance and ensure proper cluster management.
  • Community Support
    Although it has active development, the community support might not be as robust compared to other more mature solutions, possibly leading to challenges in finding solutions to niche issues.
  • YARN Dependence
    For those looking to integrate with Hadoop, Ignite's optimal performance is sometimes reliant on Hadoop YARN, which can introduce additional complexity.

Dragonfly DB videos

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

Add video

Apache Ignite videos

+ Add

Best Practices for a Microservices Architecture on Apache Ignite

More videos:

  • Review - Apache Ignite + GridGain powering up banks and financial institutions with distributed systems

Category Popularity

0-100% (relative to Dragonfly DB and Apache Ignite)

Dragonfly DB

Apache Ignite

Databases
21 21%
Databases
79% 79
NoSQL Databases
23 23%
NoSQL Databases
77% 77
Key-Value Database
30 30%
Key-Value Database
70% 70
In-Memory Databases
100 100%
In-Memory Databases
0% 0

User comments

Share your experience with using Dragonfly DB and Apache Ignite. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Dragonfly DB and Apache Ignite

Dragonfly DB Reviews

Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
In my opinion, when it comes to these types of multi-threaded benchmarks it's much better to separate the "baseline, one-process performance" from "how it scales with number of processes". E.g. if you first pin Dragonfly to only run on a single core you can find the baseline performance compared to Redis, and then you can run different benchmarks of Dragonfly with increasing...
Source: news.ycombinator.com

Apache Ignite Reviews

We have no reviews of Apache Ignite yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Ignite seems to be more popular. It has been mentiond 3 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.

Dragonfly DB mentions (0)

We have not tracked any mentions of Dragonfly DB yet. Tracking of Dragonfly DB recommendations started around Jun 2022.

Apache Ignite mentions (3)

  • API Caching: Techniques for Better Performance
    Apache Ignite — Free and open-source, Apache Ignite is a horizontally scalable key-value cache store system with a robust multi-model database that powers APIs to compute distributed data. Ignite provides a security system that can authenticate users' credentials on the server. It can also be used for system workload acceleration, real-time data processing, analytics, and as a graph-centric programming model. - Source: dev.to / 7 months ago
  • Ask HN: P2P Databases?
    Ignite works as you describe: https://ignite.apache.org/ I wouldn't really recommend this approach, I would think more in terms of subscriptions and topics and less of a 'database'. - Source: Hacker News / about 3 years ago
  • .NET and Apache Ignite: Testing Cache and SQL API features — Part I
    Last days, I started using Apache Ignite as a cache strategy for some applications. Apache Ignite is an open-source In-Memory Data Grid, distributed database, caching, and high-performance computing platform. Source: over 3 years ago

What are some alternatives?

When comparing Dragonfly DB and Apache Ignite, you can also consider the following products

KeyDB - KeyDB is fast NoSQL database with full compatibility for Redis APIs, clients, and modules.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

Skytable - Skytable is a free and open-source realtime NoSQL database that aims to provide flexible data modelling at scale.

memcached - High-performance, distributed memory object caching system

Hazelcast - Clustering and highly scalable data distribution platform for Java

Loading...