Cassandra vs DuckDB

A comprehensive head-to-head comparison of two leading database & data management solutions in 2026. Compare features, pricing, ratings, and more to find the right fit.

Quick Verdict

Choose Cassandra if you need Linear Scalability and prefer a free starting option. Choose DuckDB if you prioritize In-process Execution and want a free tier to start. DuckDB has a higher user rating (4.8 vs 4.4).

Cassandra vs DuckDB: At a Glance

CriteriaCassandraDuckDB
User Rating
4.4
4.8
PricingFreeFree
Pricing Modelopen-sourceopen-source
Free Plan
PlatformsLinux, Windows, Mac, DockerLinux, Windows, Mac, Wasm
CategoryDatabase & Data ManagementDatabase & Data Management
Founded19992019

Feature Comparison: Cassandra vs DuckDB

FeatureCassandraDuckDB
Linear Scalability
Fault Tolerance
Multi-datacenter Replication
Tunable Consistency
CQL Query Language
Distributed Architecture
No Single Point of Failure
DataStax
Apache Spark
Apache Kafka
Presto
cqlsh
Linux support
Windows support
Mac support
In-process Execution
Columnar Storage
Vectorized Execution
Rich SQL Support
Parquet Support
CSV/JSON Import
Zero Dependencies
Python
R
Julia
Node.js
Pandas

Cassandra vs DuckDB: Pricing Breakdown

Cassandra Pricing

Model: open-source

Open SourceFree
  • Linear scalability
  • Fault tolerance
  • Multi-datacenter replication
  • CQL query language

DuckDB Pricing

Model: open-source

Open SourceFree
  • Full OLAP features
  • In-process execution
  • Rich SQL support
  • Multiple language bindings

Pros and Cons

Cassandra

Pros

  • Highly rated by users (4.4/5)
  • Free plan available to get started
  • Available on 4 platforms (Linux, Windows, Mac, Docker)
  • Rich feature set with 15+ capabilities
  • Strong Linear Scalability functionality
  • Strong Fault Tolerance functionality

Cons

  • May require time to learn advanced features

DuckDB

Pros

  • Highly rated by users (4.8/5)
  • Free plan available to get started
  • Available on 4 platforms (Linux, Windows, Mac, Wasm)
  • Rich feature set with 15+ capabilities
  • Strong In-process Execution functionality
  • Strong Columnar Storage functionality

Cons

  • May require time to learn advanced features

Who Should Use Cassandra vs DuckDB?

Choose Cassandra if you:

  • Need Linear Scalability
  • Want to start for free
  • Work primarily on Linux and Windows
  • Value Fault Tolerance
View Cassandra Details

Choose DuckDB if you:

  • Need In-process Execution
  • Want to start for free
  • Work primarily on Linux and Windows
  • Value Columnar Storage
View DuckDB Details

Frequently Asked Questions: Cassandra vs DuckDB

Is Cassandra better than DuckDB?

It depends on your needs. Cassandra has a 4.4/5 user rating while DuckDB has 4.8/5. Cassandra excels in Linear Scalability and Fault Tolerance, while DuckDB stands out with In-process Execution and Columnar Storage. Consider your budget (Free vs Free), platform needs, and specific feature requirements.

Which is cheaper, Cassandra or DuckDB?

Cassandra offers a free plan and starts at Free. DuckDB offers a free plan and starts at Free. Compare the specific plan features to determine the best value for your use case.

Can I use Cassandra and DuckDB together?

While both are database & data management tools, some teams use complementary software together. Check each product's API and integration capabilities for compatibility. However, most users find that one solution covers their core database & data management needs.

What are the main differences between Cassandra and DuckDB?

The key differences include: pricing model (open-source vs open-source), platform support (Linux, Windows, Mac, Docker vs Linux, Windows, Mac, Wasm), and feature focus. Cassandra emphasizes Linear Scalability, Fault Tolerance, Multi-datacenter Replication while DuckDB focuses on In-process Execution, Columnar Storage, Vectorized Execution. User ratings differ slightly: 4.4 vs 4.8 out of 5.

Ready to choose?

Explore detailed reviews, user ratings, and pricing for both Cassandra and DuckDB.

Cassandra vs DuckDB: Compared [2026] | Softwr