ScyllaDB Enterprise

ScyllaDB Enterprise is a high-performance NoSQL database built on a shard-per-core C++ architecture that delivers monstrously fast, ultra-low-latency data access.

Reviewed by 7wData

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ScyllaDB Enterprise is a high-performance NoSQL database built on a shard-per-core C++ architecture that delivers monstrously fast, ultra-low-latency data access. It is designed for teams running latency-sensitive, high-throughput workloads such as real-time analytics, IoT, and user-facing applications. The product offers full compatibility with Apache Cassandra and Amazon DynamoDB APIs, making it a drop-in replacement for existing deployments. ScyllaDB Enterprise also provides a managed DBaaS (ScyllaDB Cloud) with auto-scaling, SOC2 and ISO certifications, and a 99.99% uptime SLA. A free tier is available with a 10TB storage limit and 50 vCPU cap, allowing teams to evaluate the full feature set without upfront cost.

Under the hood, ScyllaDB uses a shard-per-core design that fully optimizes multi-core CPUs and NUMA servers, eliminating context switching and cache contention. The database automatically shards and replicates data based on the configured replication factor, and includes an integrated memory cache for efficient memory use. The 2025.1 release introduces tablets as the default data distribution algorithm, replacing the legacy vNodes approach. Tablets dynamically distribute each table to a subset of nodes and shards, improving scaling speed and supporting mix clusters that use different instance types. This enables fast boot, fast scaling in and out, and up to 90% storage utilization compared to 70% with vNodes. ScyllaDB also supports vector search for efficient storage and retrieval of high-dimensional vector data, making it suitable for AI and machine learning workloads.

In performance benchmarks, ScyllaDB claims up to 20x better throughput than DynamoDB in hot-partition tests, up to 20x higher throughput with near-linear scalability compared to MongoDB, and up to 8x better throughput than Cassandra 4.0 on the same 3-node cluster while maintaining P99 latency under 10 ms. Total cost of ownership is cited as up to 7x cheaper than DynamoDB for high-throughput, low-latency workloads. The product competes directly with DynamoDB, MongoDB, Cassandra, and ClickHouse, positioning itself as a lower-latency, higher-throughput alternative with predictable pricing.

However, ScyllaDB has honest trade-offs. Cost can be higher than some competitors, especially for smaller deployments. The managed DBaaS can lead to deployment lock-in compared to bring-your-own-account (BYOA) options. Autoscaling can be slow for bursty traffic patterns, which may impact real-time applications. Online analytical processing (OLAP) workloads are more challenging, as ScyllaDB is optimized for OLTP. Querying is also more difficult because it does not interface with SQL, requiring familiarity with Cassandra Query Language (CQL) or DynamoDB API syntax.

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How it works

  1. Shard-per-core C++ architecture

    Eliminates context switching and cache contention by dedicating one CPU core per shard, fully utilizing multi-core and NUMA servers.

  2. Cassandra & DynamoDB API compatibility

    Supports both Cassandra Query Language (CQL) and DynamoDB-compatible APIs, enabling seamless migration from either ecosystem.

  3. Tablets data distribution

    Dynamically distributes each table to a subset of nodes and shards, improving scaling speed and supporting mix clusters with different instance types.

  4. Managed DBaaS with auto-scaling

    ScyllaDB Cloud offers auto-scaling storage and compute, SOC2/ISO certifications, and a 99.99% uptime SLA across Standard, Professional, and Premium tiers.

  5. Vector search support

    Enables efficient storage and retrieval of high-dimensional vector data for AI and machine learning workloads.

  6. Integrated memory cache

    Optimizes memory use by caching frequently accessed data directly in the database engine, reducing disk I/O.

  7. Automatic sharding and replication

    Automatically shards and replicates data based on the configured replication factor, ensuring fault tolerance and scalability.

Strengths and trade-offs

Strengths

  • Delivers up to 20x better throughput than DynamoDB in hot-partition tests with lower latency.
  • Provides up to 20x higher throughput with near-linear scalability compared to MongoDB.
  • Offers up to 8x better throughput than Cassandra 4.0 on the same 3-node cluster with P99 latency under 10 ms.
  • Includes a free tier with 10TB storage and 50 vCPU limit, allowing full-feature evaluation without upfront cost.

Trade-offs

  • Cost can be higher than some competitors, especially for smaller deployments or low-throughput workloads.
  • Managed DBaaS can lead to deployment lock-in compared to bring-your-own-account (BYOA) options.
  • Autoscaling can be slow for bursty traffic patterns, potentially impacting real-time applications.
  • Online analytical processing (OLAP) workloads are more challenging, as ScyllaDB is optimized for OLTP.

Pricing context

ScyllaDB Cloud offers three tiers: Standard (2-hour 8x5 P1 support, fully managed on AWS/GCP, vector search, auto-scaling, SOC2/ISO, 99.99% SLA), Professional (1-hour 24x7 P1 support, BYOA, multi-region active-active HA/DR, advanced metrics, dedicated Slack channel), and Premium (15-minute 24x7 P1 support, BYOK, advanced networking, private link, dedicated TAM, custom licensing). A free tier with 10TB and 50 vCPU limit is also available.

Getting started with ScyllaDB Enterprise

  1. Sign up for ScyllaDB Cloud

    Go to the ScyllaDB Cloud website and create an account. Choose the free tier to evaluate the full feature set with a 10TB storage limit and 50 vCPU cap, no upfront cost required.

  2. Connect your application

    Retrieve the connection credentials from the ScyllaDB Cloud dashboard. Use the provided CQL or DynamoDB-compatible API endpoint to connect your application, ensuring compatibility with your existing codebase.

  3. Configure data distribution

    Set the replication factor for your keyspace to ensure fault tolerance. ScyllaDB automatically shards data using tablets by default; you can adjust distribution settings per table to optimize for your workload.

  4. Load sample data

    Use the CQL shell or DynamoDB API to insert sample records into a test table. Verify that data is written and read correctly, confirming low-latency access and proper sharding behavior.

  5. Schedule auto-scaling rules

    In the ScyllaDB Cloud console, define auto-scaling policies for compute and storage based on your expected traffic patterns. Monitor performance metrics to adjust thresholds, ensuring consistent throughput during peak loads.

Frequently Asked Questions

What is ScyllaDB Enterprise and what makes it different from other NoSQL databases?

ScyllaDB Enterprise is a high-performance NoSQL database built on a shard-per-core C++ architecture. It eliminates context switching and cache contention by dedicating one CPU core per shard, delivering ultra-low-latency data access for real-time analytics, IoT, and user-facing applications.

Is ScyllaDB compatible with Cassandra and DynamoDB APIs?

Yes, ScyllaDB Enterprise offers full compatibility with both Apache Cassandra Query Language (CQL) and Amazon DynamoDB APIs. This makes it a drop-in replacement for existing deployments, allowing teams to migrate seamlessly from either ecosystem without rewriting applications.

How does ScyllaDB's tablets data distribution work compared to vNodes?

The 2025.1 release introduces tablets as the default data distribution algorithm, replacing legacy vNodes. Tablets dynamically distribute each table to a subset of nodes and shards, improving scaling speed and supporting mix clusters with different instance types, achieving up to 90% storage utilization.

What are the performance benchmarks for ScyllaDB compared to DynamoDB, MongoDB, and Cassandra?

ScyllaDB claims up to 20x better throughput than DynamoDB in hot-partition tests, up to 20x higher throughput with near-linear scalability compared to MongoDB, and up to 8x better throughput than Cassandra 4.0 on the same 3-node cluster while maintaining P99 latency under 10 ms.

Does ScyllaDB offer a free tier for testing?

Yes, ScyllaDB provides a free tier with a 10TB storage limit and 50 vCPU cap. This allows teams to evaluate the full feature set without upfront cost, including shard-per-core architecture, tablets data distribution, and vector search support for AI workloads.

What are the main weaknesses or trade-offs of using ScyllaDB Enterprise?

Cost can be higher for smaller deployments, and the managed DBaaS may lead to deployment lock-in. Autoscaling can be slow for bursty traffic, OLAP workloads are challenging as it is optimized for OLTP, and querying requires familiarity with CQL or DynamoDB API syntax since it does not use SQL.

Alternatives

How ScyllaDB Enterprise compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

ScyllaDB Enterprise

Pricing
ScyllaDB Cloud offers three tiers: Standard (2-hour 8x5 P1 support, fully managed on AWS/GCP, vector search, auto-scaling, SOC2/ISO, 99.99% SLA), Professional (1-hour 24x7 P1 support, BYOA, multi-region active-active HA/DR, advanced metrics, dedicated Slack channel), and Premium (15-minute 24x7 P1 support, BYOK, advanced networking, private link, dedicated TAM, custom licensing). A free tier with 10TB and 50 vCPU limit is also available.
Target
ScyllaDB Enterprise is a high-performance NoSQL database built on a shard-per-core C++ architecture that delivers monstrously fast, ultra-low-latency data access.
Strength
Delivers up to 20x better throughput than DynamoDB in hot-partition tests with lower latency.
Watch for
Cost can be higher than some competitors, especially for smaller deployments or low-throughput workloads.

Amazon DynamoDB

Pricing
Pay-per-request from $0.25/million WCU, $0.50/million RCU
Target
AWS-native applications needing serverless NoSQL
Deployment
AWS only
Strength
Autoscaling with no ops overhead
Watch for
Cost spikes at scale without capacity planning

DataStax Enterprise

Pricing
Custom/Contact sales
Target
Enterprises with existing Cassandra workloads
Deployment
Hybrid/multi-cloud
Strength
Apache Cassandra compatibility
Watch for
Complex licensing tiers

Tinybird

Pricing
Starter $0.50/million rows, Pro custom pricing
Target
Real-time analytics with ClickHouse
Deployment
Managed cloud
Strength
Sub-second SQL APIs
Watch for
Early-stage vendor lock-in risks

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.scylladb.com
  2. forum.scylladb.com
  3. thenewstack.io
  4. www.scylladb.com