Percona 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

Percona

0.0 (0 reviews)

Percona provides enterprise-grade open source database software, support, and services to help you optimize performance and manage complex environments across MySQL, PostgreSQL, and MongoDB deployments.

Starting at --
Free Trial NO FREE TRIAL
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 Percona ScyllaDB
Website percona.com scylladb.com
Pricing Model Custom Freemium
Starting Price Custom Pricing Free
FREE Trial ✘ No free trial ✓ 30 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise cloud cloud on-premise
Integrations MySQL PostgreSQL MongoDB Kubernetes Docker Amazon RDS Google Cloud SQL Microsoft Azure Prometheus Grafana Spark Kafka Presto Elasticsearch Grafana Prometheus Kubernetes Terraform
Target Users mid-market enterprise mid-market enterprise
Target Industries ad-tech gaming iot
Customer Count 0 0
Founded Year 2006 2012
Headquarters Raleigh, USA Palo Alto, USA

Overview

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Percona

Percona provides you with enterprise-class distributions of popular open source databases like MySQL, PostgreSQL, and MongoDB. You can run these high-performance versions in your own data center or the cloud without the restrictive licensing costs of proprietary vendors. The platform focuses on giving you full control over your data while ensuring your systems remain highly available and secure through hardened builds and expert-tested configurations.

You can also use their specialized monitoring and management tools to gain deep visibility into your database performance. Whether you are a database administrator at a scaling startup or a DevOps engineer at a global enterprise, these tools help you identify bottlenecks and automate backups. It solves the common problem of vendor lock-in by keeping your infrastructure strictly open source while providing the 24/7 support you need for production environments.

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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

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Percona Features

  • Query Analytics Identify slow-running queries in real-time so you can optimize database performance and improve application response times.
  • Automated Backups Schedule and manage your database backups automatically to ensure your data is protected and easily recoverable.
  • Performance Monitoring Track thousands of metrics across your database fleet with visual dashboards that highlight potential infrastructure issues.
  • Security Hardening Protect your sensitive data with advanced encryption, audit logging, and external authentication features built into the software.
  • High Availability Configure automated failover and replication to keep your applications online even during hardware or network failures.
  • Kubernetes Operators Deploy and manage complex database clusters on Kubernetes with automated scaling and self-healing capabilities.
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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

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Percona Pricing

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ScyllaDB Pricing

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

Pros & Cons

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Percona

Pros

  • Completely open source with no vendor lock-in
  • Excellent performance optimizations for high-traffic applications
  • Highly responsive technical support from database experts
  • Comprehensive monitoring tools included at no cost

Cons

  • Steep learning curve for advanced configuration
  • Documentation can be overly technical for beginners
  • Initial setup requires significant command-line expertise
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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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