Gcore vs ScyllaDB Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Gcore

0.0 (0 reviews)

Gcore is a global edge solutions provider offering integrated edge computing, content delivery, cloud hosting, and security services designed to accelerate and protect your digital experiences worldwide.

Starting at Free
Free Trial 0 days
VS

ScyllaDB

0.0 (0 reviews)

ScyllaDB is a high-performance NoSQL database built for data-intensive applications that require ultra-low latency, high throughput, and horizontal scalability to handle massive workloads across distributed cloud environments.

Starting at Free
Free Trial 30 days

Quick Comparison

Feature Gcore ScyllaDB
Website gcore.com scylladb.com
Pricing Model Freemium Freemium
Starting Price Free Free
FREE Trial ✓ 0 days free trial ✓ 30 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud saas cloud on-premise
Integrations Terraform Kubernetes WordPress Magento Grafana Intel NVIDIA PHP Python Spark Kafka Presto Elasticsearch Grafana Prometheus Kubernetes Terraform
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries gaming media ecommerce ad-tech gaming iot
Customer Count 0 0
Founded Year 2014 2012
Headquarters Luxembourg, Luxembourg Palo Alto, USA

Overview

G

Gcore

Gcore provides a comprehensive edge-to-cloud platform that helps you deliver content faster and run applications closer to your global users. You can manage everything from virtual machines and bare metal servers to a high-performance CDN and AI-driven security features through a single, intuitive interface. The platform is built on a massive global network, ensuring low latency and high availability for your web applications, gaming services, or streaming media.

You can easily scale your infrastructure as your traffic grows, utilizing automated load balancing and real-time analytics to optimize performance. Whether you are a developer at a startup or an IT manager at a global enterprise, Gcore offers the tools to build, deploy, and shield your digital products from DDoS attacks and web threats. The platform focuses on high-speed delivery and robust edge intelligence to keep your services responsive and secure.

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ScyllaDB

ScyllaDB provides you with a distributed NoSQL database designed for high-throughput and low-latency applications. It uses a shared-nothing architecture that scales linearly with your hardware, allowing you to handle millions of operations per second without the performance bottlenecks found in traditional systems. You can deploy it as a fully managed cloud service or manage it yourself on-premise while maintaining full compatibility with Cassandra and DynamoDB APIs.

You can eliminate the overhead of garbage collection and complex JVM tuning because the system is written in C++. This allows you to achieve predictable performance even under heavy loads, making it ideal for real-time analytics, ad tech, and IoT applications. Whether you are migrating from legacy NoSQL or building a new high-scale service, you get a database that maximizes your infrastructure efficiency and reduces your total cost of ownership.

Overview

G

Gcore Features

  • Global Content Delivery Deliver your images, videos, and files to users in milliseconds using a massive network of over 180 edge nodes.
  • Edge Computing Run your code at the edge to reduce server load and provide your users with near-instant response times.
  • AI Cloud Infrastructure Train and deploy your machine learning models quickly using high-performance GPU instances and specialized AI infrastructure.
  • DDoS Protection Shield your websites and applications from sophisticated cyber attacks with real-time traffic filtering and automated mitigation.
  • Managed Kubernetes Deploy and manage your containerized applications effortlessly across a global infrastructure without worrying about underlying server maintenance.
  • Video Streaming Platform Broadcast high-quality live streams and on-demand video to global audiences with built-in transcoding and low-latency delivery.
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ScyllaDB Features

  • Shared-Nothing Architecture. Scale your database linearly across multiple nodes and cores to handle massive traffic spikes without losing performance.
  • Cassandra & DynamoDB Compatibility. Migrate your existing applications easily using familiar APIs and drivers without rewriting your entire application code.
  • Autonomous Operations. Let the database handle complex tasks like compaction, repair, and caching automatically to reduce your manual maintenance effort.
  • Workload Prioritization. Run your real-time transactions and analytical queries on the same cluster without them interfering with each other's performance.
  • C++ Performance Engine. Eliminate unpredictable latency spikes caused by Java garbage collection for more consistent response times across your application.
  • Multi-Cloud Deployment. Deploy your clusters across AWS, GCP, or Azure to ensure high availability and avoid vendor lock-in for your data.

Pricing Comparison

G

Gcore Pricing

Free
$0
  • 1 TB CDN traffic per month
  • 180+ global edge nodes
  • Basic DDoS protection
  • Free SSL certificates
  • Standard DNS hosting
S

ScyllaDB Pricing

Free Tier
$0
  • One small cluster
  • Limited storage capacity
  • Community support
  • Basic monitoring tools
  • Standard backup options

Pros & Cons

M

Gcore

Pros

  • Extensive global network coverage in underserved regions
  • Generous free tier for CDN and DNS services
  • Highly responsive and technical customer support team
  • Simple and modern dashboard for easy management

Cons

  • Documentation can be sparse for niche features
  • Pricing for high-bandwidth usage can scale quickly
  • Learning curve for complex edge logic configurations
A

ScyllaDB

Pros

  • Exceptional performance and ultra-low latency
  • Significant reduction in server footprint and costs
  • Seamless migration from Apache Cassandra
  • Excellent support for high-concurrency workloads
  • Predictable performance without JVM tuning

Cons

  • Steep learning curve for advanced configurations
  • Smaller community compared to older NoSQL databases
  • Limited documentation for very niche use cases
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