ScyllaDB
By ScyllaDB
ScyllaDB is a high-performance NoSQL database designed for applications requiring low latency and high throughput at scale.
Publisher review
ScyllaDB is a high-performance NoSQL database designed for applications requiring low latency and high throughput at scale. It is particularly suited for enterprises handling large datasets exceeding 1TB per node, needing to sustain over 100K operations per second, or requiring elastic scaling without downtime. ScyllaDB is engineered for efficiency, offering predictable P99 latencies under 10ms and handling millions of operations per second, making it ideal for write-heavy, query-driven data models and real-time vector search applications.
The database is API-compatible with Cassandra and DynamoDB, enabling seamless integration without application rewrites. ScyllaDB's architecture is shard-per-core and lock-free, optimized for modern hardware to deliver consistent performance even under heavy loads. Compared to competitors like Apache Cassandra and Amazon DynamoDB, ScyllaDB offers significantly better throughput, lower latency, and reduced costs.
For instance, it achieves 2x-5x better throughput than Cassandra, finishes compaction 32x faster, and sustains writes at 7.5 million inserts per second with 4ms P99 latencies. However, ScyllaDB is limited to NoSQL architecture, which may not suit all use cases, and users familiar with other databases may face a learning curve. Despite these trade-offs, ScyllaDB stands out for its ability to handle extreme scale and performance demands while escaping cloud vendor lock-in.
How it works
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Low P99 latency
Delivers predictable P99 latencies under 10ms, even under heavy workloads, ensuring consistent performance.
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High throughput
Sustains millions of operations per second, making it ideal for write-heavy and query-driven applications.
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Elastic scaling
Scales linearly with growth and elastically with traffic fluctuations, ensuring no downtime during scaling.
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API compatibility
Supports CQL and DynamoDB APIs, enabling seamless integration without rewriting applications.
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Automatic sharding
Automatically shards and replicates data, ensuring high availability and fault tolerance.
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Vector search
Handles billions of vector embeddings, enabling fast vector search and feature retrieval for AI applications.
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Deployment flexibility
Runs across clouds, regions, or on-premises, avoiding cloud vendor lock-in.
Strengths and trade-offs
Strengths
- ScyllaDB achieves 2x-5x better throughput and 32x faster compaction than Apache Cassandra.
- It sustains writes at 7.5 million inserts per second with 4ms P99 latencies, outperforming Aerospike.
- ScyllaDB delivers 40.9X to 282.5X lower costs than DynamoDB while providing better performance.
- The database handles 10x the amount of data with 10x the throughput compared to CockroachDB.
Trade-offs
- ScyllaDB is limited to NoSQL database architecture, which may not suit all use cases.
- Users familiar with other databases may face a learning curve when adopting ScyllaDB.
- The database requires a commercial license for deployments exceeding 50 vCPUs or 10TB storage.
- ScyllaDB’s advanced features may necessitate deeper technical expertise for optimal configuration.
Pricing context
Pricing varies by tier (Standard, Professional, Premium) and includes fully managed SaaS, auto-scaling, and SOC2/ISO certifications.
Getting started with ScyllaDB
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Sign up
Visit the ScyllaDB website and create an account. Choose the tier (Standard, Professional, Premium) that fits your needs.
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Install
Download and install ScyllaDB on your local machine or cloud environment. Follow the installation guide provided in the documentation.
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Connect data
Use the CQL or DynamoDB API to connect your application to ScyllaDB. Configure the connection settings in your application code.
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Configure sharding
Set up automatic sharding and replication in ScyllaDB. Define the number of shards and replication factor based on your data size and availability needs.
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Run queries
Start executing queries on ScyllaDB. Use the CQL shell or your application to insert, update, and retrieve data.
Frequently Asked Questions
What is ScyllaDB?
ScyllaDB is a high-performance NoSQL database designed for low latency and high throughput at scale. It handles large datasets exceeding 1TB per node, sustains over 100K operations per second, and offers elastic scaling without downtime, making it ideal for write-heavy and query-driven applications.
How does ScyllaDB compare to Cassandra?
ScyllaDB achieves 2x-5x better throughput and 32x faster compaction than Apache Cassandra. It sustains writes at 7.5 million inserts per second with 4ms P99 latencies, offering significantly better performance and lower costs for large-scale, high-throughput applications.
What are the key features of ScyllaDB?
ScyllaDB features low P99 latency under 10ms, high throughput of millions of operations per second, elastic scaling, API compatibility with Cassandra and DynamoDB, automatic sharding, vector search for AI applications, and deployment flexibility across clouds, regions, or on-premises.
What are the limitations of ScyllaDB?
ScyllaDB is limited to NoSQL architecture, which may not suit all use cases. Users familiar with other databases may face a learning curve. It requires a commercial license for deployments exceeding 50 vCPUs or 10TB storage and may need deeper technical expertise for optimal configuration.
Is ScyllaDB suitable for real-time applications?
Yes, ScyllaDB is ideal for real-time applications due to its low P99 latencies under 10ms and high throughput of millions of operations per second. It handles write-heavy, query-driven data models and supports vector search for AI-driven real-time feature retrieval.
How does ScyllaDB handle scaling?
ScyllaDB offers elastic scaling, allowing it to scale linearly with growth and elastically with traffic fluctuations without downtime. Its shard-per-core, lock-free architecture ensures consistent performance even under heavy loads, making it suitable for applications with unpredictable or rapidly changing demands.
Alternatives
How ScyllaDB compares
Direct head-to-head against 3 competitors. Picked by 7wData.
ScyllaDB
- Pricing
- Pricing varies by tier (Standard, Professional, Premium) and includes fully managed SaaS, auto-scaling, and SOC2/ISO certifications.
- Target
- ScyllaDB is a high-performance NoSQL database designed for applications requiring low latency and high throughput at scale.
- Strength
- ScyllaDB achieves 2x-5x better throughput and 32x faster compaction than Apache Cassandra.
- Watch for
- ScyllaDB is limited to NoSQL database architecture, which may not suit all use cases.
Apache Cassandra
- Pricing
- Open-source, but costs for hardware, maintenance, and support scale with cluster size
- Target
- Write-heavy workloads, time-series data, IoT applications
- Deployment
- Self-managed
- Strength
- Horizontal scaling, high write throughput, tunable consistency
- Watch for
- Operational complexity at scale, manual tuning required
Amazon DynamoDB
- Pricing
- Pay-per-request ($1.25/million WCUs, $0.25/million RCUs) + storage ($0.25/GB-month)
- Target
- Serverless apps needing predictable low-latency at any scale
- Deployment
- Fully managed AWS service
- Strength
- Seamless auto-scaling, single-digit millisecond latency
- Watch for
- Vendor lock-in, cost spikes with unplanned throughput
MongoDB
- Pricing
- Free tier, $57/month (shared), $95+/month (dedicated)
- Target
- Apps needing flexible schemas, rich queries, secondary indexes
- Deployment
- Self-hosted or Atlas managed
- Strength
- Document model, ad-hoc querying, aggregation pipelines
- Watch for
- Vertical scaling limits, complexity in sharded clusters
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Sources
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