Kaleyra Voice API vs Wazo Platform
Kaleyra Voice API
tatacommunications.com
Wazo Platform
wazo-platform.orgSide by side
| Figure | Kaleyra Voice API | Wazo Platform |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Linux | — | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Voice APIs | 6.9 (#17) | 8.2 (#7) |
| Integrations | The APIs are designed to integrate with CRMs, marketing platforms, agent desktops, and custom apps using standard interfaces. | The maker says APIs can integrate third-party services, including billing capabilities, speech-to-text, AI, and sentiment analysis. |
| Security | The page says the platform uses encryption in transit and at rest, call masking, logs, and compliance options including GDPR. | The security guide says Wazo includes preconfigured fail2ban jails, but does not configure firewall rules and recommends configuring them. |
| Support | Tata Communications offers guidance, tailored deployment support, and dedicated onboarding support for the API. | Wazo Platform is community supported through Mattermost, its forum, and JIRA bug tracking. |
Plans
In their own words
Kaleyra Voice API
Kaleyra Voice API has no write-up on Specifiction yet; its figures are above.
Wazo Platform
Wazo Platform is a free, open-source stack of telecom microservices for building programmable voice, video, messaging, and presence services. Its capabilities include audio and video calls, chat, call centers, conferences, voicemail, custom call routing, and an auto attendant. Interfaces include WebRTC, REST APIs, WebSockets, and Webhooks, described as mobile- and web-friendly. The microservices are developed in Python, and APIs are described through OpenAPI specifications. Asterisk, RTPEngine, and Kamailio make up the telecom engine; RabbitMQ, NGINX, and PostgreSQL support the technical core. Wazo can be deployed on bare metal, virtual machines, or containers. The documented all-in-one installation uses Debian 12 Bookworm and Ansible; minimums for a small production installation of about 50 users are 2 CPUs, 4 GiB RAM, and 50 GiB storage. The GPL-3 license allows free use, including commercial use. APIs can integrate billing and services such as speech-to-text, AI, or sentiment analysis. Community support is available through Mattermost, a forum, and JIRA.