ClickHouse
ClickHouse is a fast open-source column-oriented database management system that allows you to generate analytical reports in real-time using SQL queries for large datasets.
ScyllaDB
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.
Quick Comparison
| Feature | ClickHouse | ScyllaDB |
|---|---|---|
| Website | clickhouse.com | scylladb.com |
| Pricing Model | Freemium | Freemium |
| Starting Price | Free | Free |
| FREE Trial | ✓ 30 days free trial | ✓ 30 days free trial |
| Free Plan | ✓ Has free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2021 | 2012 |
| Headquarters | San Francisco, USA | Palo Alto, USA |
Overview
ClickHouse
ClickHouse is a high-performance, column-oriented database designed for real-time analytical processing. You can process billions of rows and tens of gigabytes of data per second, making it ideal for applications that require instant results from massive datasets. Instead of waiting minutes for complex reports, you get answers in milliseconds using familiar SQL syntax.
You can deploy it as a self-managed open-source solution or use ClickHouse Cloud for a fully managed experience that scales automatically. It solves the problem of slow query speeds in traditional databases by using columnar storage and parallel processing. Whether you are building observability dashboards, ad-tech platforms, or financial monitoring tools, you can handle high-velocity data ingestion and complex analytical queries without managing complex infrastructure.
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
ClickHouse Features
- Columnar Storage Store data by columns rather than rows to reduce disk I/O and speed up analytical queries significantly.
- Real-time Ingestion Insert millions of rows per second and query them immediately without any background processing delays.
- SQL Support Use standard SQL to perform complex joins, aggregations, and window functions without learning a new language.
- Data Compression Reduce your storage footprint and costs by using specialized codecs that compress data up to 10x.
- Vectorized Execution Process data in batches using SIMD instructions to maximize your CPU efficiency and query throughput.
- Multi-cloud Scaling Deploy across AWS, GCP, or Azure and scale your compute resources independently from your storage.
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
ClickHouse Pricing
- Self-managed deployment
- Full SQL support
- Community support
- Unlimited data volume
- Apache 2.0 License
- Everything in Open Source, plus:
- Fully managed service
- Automatic scaling
- $300 free credit
- Up to 1TB storage
- Daily backups
ScyllaDB Pricing
- One small cluster
- Limited storage capacity
- Community support
- Basic monitoring tools
- Standard backup options
- Everything in Free, plus:
- Production-ready clusters
- 24/7 professional support
- Advanced security features
- Automated daily backups
- Multi-region replication
Pros & Cons
ClickHouse
Pros
- Unmatched query speed for large-scale analytical workloads
- Excellent data compression ratios save significant storage costs
- Active open-source community provides frequent updates and support
- Linear horizontal scalability handles growing data needs easily
Cons
- Significant learning curve for optimal schema design
- Limited support for frequent individual row updates
- Management of self-hosted clusters can be operationally complex
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