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Honest Tool Comparison

ScyllaDB vs Amazon Redshift

An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.

ScyllaDB

professional
Database & Data Warehousing

High-performance NoSQL database — Cassandra- and DynamoDB-compatible, written in C++ for single-digit-ms latency.

Open-source: free. ScyllaDB Cloud: from ~$300/month. Enterprise on-prem: custom.

Amazon Redshift

professional
Database & Data Warehousing

AWS cloud data warehouse

Pay-per-use; starts at $0.25/hour per node

Side-by-Side Comparison

Objective metrics, no spin.

N/A
Rating
N/A
professional
Pricing tier
professional
steep
Learning curve
✓ Bettermedium
1–3 months for production cluster
Setup time
2-4 months
4 listed✓ Better
Integrations
3 listed
medium, large, enterprise
Best company size
large, enterprise
Top Features
Shard-per-core C++ architecture
CQL and DynamoDB-compatible APIs
Workload prioritization
Incremental compaction
Features
Top Features
Columnar storage
Massively parallel processing
SQL interface
AWS integration
Choose ScyllaDB if...

Apps migrating off Cassandra or DynamoDB to reduce cost and latency, or greenfield workloads needing millions of ops/sec.

Avoid ScyllaDB if...

Small teams without distributed database ops experience — operating a NoSQL cluster at scale is non-trivial.

Choose Amazon Redshift if...

For AWS-centric organizations needing data warehouse, or when already using AWS services heavily.

Avoid Amazon Redshift if...

If not on AWS (use Snowflake for multi-cloud) or need modern features (Snowflake more advanced).

Both suited for: large, enterprise companies

Since both tools target large and enterprise companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.

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Other Database & Data Warehousing Tools to Consider

If neither is the right fit, these are the next best alternatives in the same category.

Snowflake

enterprise

Cloud data platform for data warehousing and analytics

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Databricks

enterprise

Unified analytics platform built on Apache Spark

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Google BigQuery

professional

Serverless enterprise data warehouse on Google Cloud

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