Software Alternatives, Accelerators & Startups

Apache Cassandra VS Edgegap

Compare Apache Cassandra VS Edgegap and see what are their differences

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Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Edgegap logo Edgegap

Get your multiplayer game online, worldwide, in minutes with Edgegapโ€™s automated game server hosting & orchestration.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Edgegap Edgegap - Game Server Hosting Orchestration
    Edgegap - Game Server Hosting Orchestration //
    2025-04-30
  • Edgegap Game Server Hosting, Solved
    Game Server Hosting, Solved //
    2025-04-30
  • Edgegap Fully Managed Game Server Hosting
    Fully Managed Game Server Hosting //
    2025-04-30
  • Edgegap Orchestration Performance
    Orchestration Performance //
    2025-04-30
  • Edgegap Pricing - No Wasted Capacity
    Pricing - No Wasted Capacity //
    2025-04-30
  • Edgegap Cross-Platform Game Servers
    Cross-Platform Game Servers //
    2025-04-30
  • Edgegap Edgegap Clients
    Edgegap Clients //
    2025-04-30

Game server hosting, solved.

Edgegap's game server orchestration & managed infrastructure helps all game developers deliver a flawless online multiplayer experience.

Easy to integrate & compatible with major engines including Unreal and Unity and game servers such as Epic Online Services, Photon, Heroic Labs' Nakama, PlayFab, Mirror Networkworking, Fish-Networking, and more.

Proven to scale to 14M CCU for the biggest of launches, and with on-demand deployments to 615+ global locations that delivers 58% average latency reduction vs public cloud. Pay only when players play with our usage-based pricing that helps you avoid overpaying for wasted capacity.

Edgegap

$ Details
freemium
Release Date
2018 November
Startup details
Country
Canada
State
Quebec
Founder(s)
Mathieu Duperrรฉ
Employees
10 - 19

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Edgegap features and specs

  • Game Server Hosting & Orchestration
    Get your game online in minutes & easily maintain it with optimal performance with game server hosting on the world's largest edge network.
  • Bare Metal Orchestration
    For games with predictable player base, Edgegapโ€™s hybrid game server orchestration leverages bare metal & cloud servers to optimize cost savings.
  • Relays
    Overcome every shortcoming of peer-to-peer networking with Edgegap's network of relays on the world's largest distributed network.
  • Matchmaking
    Edgegap's matchmaking system is fully-managed, infinitely customizable to optimally group players worldwide.
  • Fleet Manager
    Edgegapโ€™s Smart Fleets automatically optimize fleet locations to minimize infrastructure usage, while also reducing latency by an average of 58%, thanks to Edgegap's orchestration.
  • Session Manager
    For games with persistent instances such as massively multiplayer open-worlds, social casuals & COOP, simplify your development process with our Sessionsโ€™ built-in ability to create matches/games within a single deployment instance.

Analysis of Apache Cassandra

Overall verdict

  • Apache Cassandra is an excellent choice if you require a database system that can efficiently manage large-scale data while ensuring high availability and reliability. It is particularly well-suited for use cases that demand a robust, distributed, and scalable database solution.

Why this product is good

  • Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle large amounts of data across multiple commodity servers without a single point of failure. It offers robust support for replicating data across multiple data centers, thereby enhancing fault tolerance and availability. Its masterless architecture and linear scalability make it suitable for high throughput online transactional applications.

Recommended for

  • Applications that require high availability and fault tolerance
  • Systems with large volumes of write-heavy workloads
  • Organizations that need multi-data center replication
  • Businesses seeking a scalable solution for distributed databases
  • Use cases needing real-time data processing with low latency

Analysis of Edgegap

Overall verdict

  • Edgegap is a solid choice for game developers and real-time application teams needing global, low-latency multiplayer infrastructure without managing their own server fleets. It offers a distributed edge computing network with dynamic scaling, making it particularly appealing for studios that want to reduce latency for players worldwide while avoiding the complexity of traditional cloud deployment.

Why this product is good

  • Provides a globally distributed edge network that reduces latency for multiplayer and real-time applications
  • Offers automatic and dynamic server scaling based on player demand, avoiding over- or under-provisioning
  • Simplifies deployment with containerized game server hosting, reducing DevOps overhead
  • Pay-as-you-go pricing model can be cost-effective compared to maintaining dedicated servers
  • Integrates with popular game engines and matchmaking systems, easing adoption for developers
  • Strong focus specifically on gaming and real-time use cases rather than generic cloud hosting

Recommended for

  • Indie and mid-sized game studios needing multiplayer infrastructure without dedicated DevOps teams
  • Game developers prioritizing low-latency global player experiences
  • Teams looking for scalable, on-demand server deployment rather than fixed capacity
  • Companies building real-time applications beyond gaming, such as simulations or interactive experiences
  • Developers who want container-based deployment flexibility across multiple cloud providers and regions

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandraโ„ข

More videos:

  • Review - Introduction to Apache Cassandraโ„ข

Edgegap videos

How to add Matchmaking to Unity/Unreal Multiplayer Game with Automated, No-Code Matchmaker

More videos:

  • Tutorial - Add dedicated servers to Unreal Engine multiplayers games without having to build Unreal from Source
  • Tutorial - Add dedicated game servers to Web multiplayer games (Unity Engine)
  • Tutorial - Add dedicated servers to any Unity multiplayer game

Category Popularity

0-100% (relative to Apache Cassandra and Edgegap)
Databases
100 100%
0% 0
Multiplayer Games
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Cloud Infrastructure
0 0%
100% 100

Questions & Answers

As answered by people managing Apache Cassandra and Edgegap.

What makes your product unique?

Edgegap's answer:

Edgegap orchestrates the world's largest edge network to deploy, on demand, your game server to 615+ locations worldwide. Which directly reduces latency of your multiplayer by 58% on average. It scales with your game's success, up to 14M CCU in 60 minutes. Best of all, it innovative "pay-per-use" means you only pay when players play your game - ensuring you never pay for wasted capacity during development or as your playerbase fluctuates.

How would you describe the primary audience of your product?

Edgegap's answer:

Multiplayer game developers seeking a convenient, powerful and cost-effective solution for authoritative servers ("dedicated servers") hosting & orchestration, relays, or the world's first matchmaking system with latency-based rules.

What's the story behind your product?

Edgegap's answer:

As someone with 20 years of telecom experience, Mathieu Duperrรฉ had seen countless industry trends come and go โ€“ but edge computing felt different. He saw its bold approach to latency reduction as the next frontier in gaming tech, so he pitched his employer to explore it further.

They humored him initially, but within a few months, the initiative was canned. The company didnโ€™t feel that the gaming market was large or promising enough. Fortunately, their skepticism didnโ€™t deter Mathieu. He knew he had lightning in a bottle, so there was only one thing left to do: quit his long-standing corporate gig to follow his passion.

The first order of business was to research industry conferences. One event in Berlin looked promising, but he was going completely out-of-pocket with zero funding and no product. It was both pricey and risky, with a ton of downside and a shred of potential upside. To earn a free pass, Mathieu jumped on the opportunity to join the eventโ€™s hackathon.

Within two weeks, he was onstage in front of the biggest names in the game, presenting the prototype he had pulled out of thin air.

The result? First prize.

Mathieu was immediately swarmed by execs asking to test his product, which didnโ€™t exist yet. Upon touching down in Montreal, he got straight to work renting a small office, hiring 2 engineers for a prototype and started plugging away.

One year later, they had landed a seed round.

Now, more than 5 years later, the team is composed of various departments and colleagues, building the future of edge computing infrastructure!

Which are the primary technologies used for building your product?

Edgegap's answer:

Kubernetes, K8, containers, Docker, container d, container-d, and much more

Who are some of the biggest customers of your product?

Edgegap's answer:

Starbreeze AB (PAYDAY 3), Halfbrick Studios (Thrill of the Fight 2), The Fun Pimps (7 Days to Die: Blood Moon), Mirai Labs (Pegaxy: Blaze), Aether Studios (Rivals of Aether 2), Highwire Games (Six Days in Fallujah), Squido Studios (DigiGods), Blue Duck Studios (Gravity League), HIBER (Hiberworld, Hiber3D) & many more unnanounced studios & games.

User comments

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Reviews

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

Apache Cassandra Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Determine the type of data that your application will be handling. The options from the relational database list, like PostgreSQL or MySQL, are your top pick with structured data, while NoSQL options (MongoDB or Cassandra) are best used for unstructured or semi-structured data.
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Apache Cassandra is a distributed database system designed for managing large volumes of structured data across multiple servers.
Source: infomineo.com
16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Edgegap Reviews

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

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 45 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.

Apache Cassandra mentions (45)

  • Why Apache IoTDB Is Written in Java: A Decade of Engineering Trade-offs
    When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโ€”such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 4 months ago
  • Why You Shouldnโ€™t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / over 1 year ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / over 1 year ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / about 2 years ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 years ago
View more

Edgegap mentions (0)

We have not tracked any mentions of Edgegap yet. Tracking of Edgegap recommendations started around Jan 2025.

What are some alternatives?

When comparing Apache Cassandra and Edgegap, you can also consider the following products

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

Photon Engine - Independent networking engine and multiplayer platform.

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

PlayFlow Cloud - Simplified Multiplayer Game Server Hosting

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Pragma - The home base for Ethereum developers.