How do I install the Cassandra C++ driver on Ubuntu?

You can download pre-built binaries from the Artifactory server for Ubuntu 20.04 or 22.04, or build from source using the dependencies listed in the README, which includes libuv, OpenSSL, and zlib.

What's the difference between the C++ driver and the DataStax Python driver for Cassandra?

The C++ driver is optimized for native performance and low-level control in C/C++ applications, with manual memory management, while the Python driver offers higher-level abstractions and easier integration for rapid development in Python environments.

How do I handle connection errors in the C++ driver?

Use CassFuture objects to check error codes and messages, as shown in the example code where cass_future_error_code() and cass_future_error_message() are called to handle failures during connection and query execution.

Does the driver support SSL for secure connections?

Yes, the driver includes SSL support with features like reverse DNS for peer identity verification, and it integrates with OpenSSL for encryption, as mentioned in the security section of the README.

Can I use this driver with DataStax Astra cloud?

Yes, the driver is compatible with DataStax Astra, as stated in the compatibility section, allowing seamless integration with the cloud data platform using the same binary protocol.

Are there examples for using prepared statements?

Yes, the driver includes examples in the examples directory, and the README links to documentation on prepared statements, which improve performance by reusing query plans.

DataStax C++ Driver — C++ Client for Apache Cassandra

What is DataStax C++ Driver?

The Apache Cassandra C/C++ Driver is a client library that allows C and C++ applications to connect to and interact with Apache Cassandra® and DataStax Enterprise databases. It implements Cassandra's binary protocol and CQL v3, providing a robust interface for executing queries, managing connections, and handling advanced database features. It solves the need for a native, high-performance driver to integrate Cassandra with C/C++ systems.

Target Audience

C and C++ developers building applications that require direct, efficient access to Apache Cassandra or DataStax Enterprise databases, particularly in performance-sensitive or embedded environments.

Value Proposition

Developers choose this driver for its comprehensive feature set, production-ready reliability, and deep integration with Cassandra's ecosystem. It offers extensive tunability, support for advanced data types and DSE features, and is maintained by DataStax with strong compatibility guarantees.

C/C++ Driver for Apache Cassandra®

Use Cases

Best For

Building high-performance C/C++ applications that use Cassandra as a backend database
Integrating Cassandra with existing native systems or embedded environments
Developing data-intensive services requiring low-latency database access
Using DataStax Enterprise features like geospatial types or advanced authentication
Applications needing fine-grained control over connection pooling and load balancing
Cross-platform projects targeting both Linux and Windows with Cassandra

Not Ideal For

Projects targeting big-endian systems, as DataStax explicitly does not support them
Teams preferring high-level abstractions or ORMs for rapid development without manual memory management
Applications running on macOS or unsupported Linux distributions not listed in the compatibility matrix
Environments with strict dependency controls where libuv, OpenSSL, and zlib are difficult to install or update

Pros & Cons

Pros

Comprehensive Feature Set

Supports advanced Cassandra features like asynchronous API, tuples, UDTs, nested collections, and DSE-specific additions such as geospatial types and Kerberos authentication, as detailed in the README's feature list.

High Performance and Tunability

Offers configurable load balancing, latency-aware routing, speculative execution, and client-side timestamps, enabling optimized low-latency operations for scalable applications.

Production-Ready Reliability

Maintained by DataStax with compatibility matrices for Cassandra and DSE versions, plus support for DataStax Astra, ensuring stability and long-term support.

Cross-Platform Compatibility

Builds and tests on multiple platforms including Rocky Linux, Ubuntu, and Windows with various Visual Studio versions, providing flexibility for heterogeneous environments.

Cons

Complex Setup and Dependencies

Requires manual installation of libuv, OpenSSL, and zlib, and binaries are only provided for specific OS versions, making initial configuration cumbersome compared to plug-and-play drivers.

Limited Platform Support

No official support for macOS or big-endian systems, and compatibility is restricted to listed Linux distributions and Windows, limiting deployment options.

C-based API Verbosity

Uses C-style functions with manual memory management (e.g., CassFuture, CassCluster) as shown in the example code, which can be error-prone and less ergonomic than modern C++ RAII patterns.

Frequently Asked Questions

What is DataStax C++ Driver?

Target Audience

C and C++ developers building applications that require direct, efficient access to Apache Cassandra or DataStax Enterprise databases, particularly in performance-sensitive or embedded environments.

Value Proposition

Use Cases

Best For

Building high-performance C/C++ applications that use Cassandra as a backend database
Integrating Cassandra with existing native systems or embedded environments
Developing data-intensive services requiring low-latency database access
Using DataStax Enterprise features like geospatial types or advanced authentication
Applications needing fine-grained control over connection pooling and load balancing
Cross-platform projects targeting both Linux and Windows with Cassandra

Not Ideal For

Projects targeting big-endian systems, as DataStax explicitly does not support them
Teams preferring high-level abstractions or ORMs for rapid development without manual memory management
Applications running on macOS or unsupported Linux distributions not listed in the compatibility matrix
Environments with strict dependency controls where libuv, OpenSSL, and zlib are difficult to install or update

Pros & Cons

Pros

Comprehensive Feature Set

High Performance and Tunability

Offers configurable load balancing, latency-aware routing, speculative execution, and client-side timestamps, enabling optimized low-latency operations for scalable applications.

Production-Ready Reliability

Maintained by DataStax with compatibility matrices for Cassandra and DSE versions, plus support for DataStax Astra, ensuring stability and long-term support.

Cross-Platform Compatibility

Builds and tests on multiple platforms including Rocky Linux, Ubuntu, and Windows with various Visual Studio versions, providing flexibility for heterogeneous environments.

Cons

Complex Setup and Dependencies

Requires manual installation of libuv, OpenSSL, and zlib, and binaries are only provided for specific OS versions, making initial configuration cumbersome compared to plug-and-play drivers.

Limited Platform Support

No official support for macOS or big-endian systems, and compatibility is restricted to listed Linux distributions and Windows, limiting deployment options.

C-based API Verbosity

Uses C-style functions with manual memory management (e.g., CassFuture, CassCluster) as shown in the example code, which can be error-prone and less ergonomic than modern C++ RAII patterns.

Frequently Asked Questions

DataStax C++ Driver

What is DataStax C++ Driver?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

DataStax C++ Driver

What is DataStax C++ Driver?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?