MariaDB 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

MariaDB

0.0 (0 reviews)

MariaDB is a versatile open-source relational database that provides high-performance data processing, advanced security features, and seamless scalability for modern applications requiring reliable and efficient data management solutions.

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 MariaDB ScyllaDB
Website mariadb.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 saas on-premise desktop cloud on-premise
Integrations Docker Kubernetes Tableau Power BI Redash WordPress Drupal Jira Grafana Prometheus Spark Kafka Presto Elasticsearch Grafana Prometheus Kubernetes Terraform
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries ad-tech gaming iot
Customer Count 0 0
Founded Year 2009 2012
Headquarters Redwood City, USA Palo Alto, USA

Overview

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MariaDB

MariaDB gives you a high-performance, open-source relational database built by the original developers of MySQL. You can handle everything from simple web applications to complex, mission-critical workloads with a platform that emphasizes stability and security. It allows you to manage structured data efficiently while offering pluggable storage engines that adapt to your specific performance needs, whether you are running transactional or analytical tasks.

You can deploy MariaDB in your own data center or use their fully managed cloud service, SkySQL, to automate administrative tasks. It scales with your growth, offering features like transparent sharding and distributed SQL to handle massive data volumes. Whether you are a developer at a startup or a DBA at a global enterprise, you get a reliable foundation for your data without the restrictive licensing of proprietary vendors.

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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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MariaDB Features

  • Pluggable Storage Engines Choose the right engine for your specific workload, from high-speed transactions to massive analytical data processing.
  • Advanced Security Protect your sensitive information with built-in data-at-rest encryption, role-based access control, and robust auditing tools.
  • MaxScale Database Proxy Manage database traffic efficiently with high availability, load balancing, and automatic failover to ensure zero downtime.
  • Columnar Analytics Perform real-time analytics on billions of rows without needing a separate data warehouse or complex ETL processes.
  • Temporal Data Tables Query your data as it existed at any point in time to track changes and perform historical audits easily.
  • JSON Support Store and query unstructured data alongside your relational tables for maximum flexibility in your application development.
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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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MariaDB Pricing

Community Server
$0
  • Open-source license
  • Standard relational features
  • Pluggable storage engines
  • Community-driven security patches
  • JSON data support
S

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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MariaDB

Pros

  • High compatibility with existing MySQL applications
  • Excellent performance for complex query execution
  • Active community provides frequent security updates
  • Flexible storage engines for diverse workloads

Cons

  • SkySQL pricing can be complex to predict
  • Learning curve for advanced clustering configurations
  • Documentation can be dense for new users
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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