CloudLinux VS Prolyz

Compare CloudLinux VS Prolyz and see what are their differences

Rating: 0 reviews
Pricing: Open source
: Promote on VibeVoted

Rating: 0 reviews
: Promote on VibeVoted

AgentClara

AgentClara is a UK AI receptionist that answers calls, books clients, and handles follow-ups 24/7 for service businesses and agencies. Free AI agents for website chat, SMS, social media and email included. Set up online with a free number in minutes sponsored

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

	CloudLinux	Prolyz
Website	cloudlinux.com	prolyz.com
Pricing	Open source	—
Platforms	—	Web Self Hosted Linux Cloud +1
Company	—	Startup from the United Kingdom · 1 - 9 employees · 2026
Listed in	Hosting Web Hosting Cloud Hosting VPS Hosting +1	Data Integration Business Intelligence Data Governance Web Service Automation ETL API Tools Stream Processing Data Dashboard Data Visualization Analytics Data Analytics SaaS +9

About CloudLinux and Prolyz

In their own words, as submitted to SaaSHub.

CloudLinux

Prolyz

No description of CloudLinux yet.

Prolyz is your company's Decision Brain a data intelligence platform that turns raw enterprise data into decisions you can defend. Four governed layers work as one: Data governs with catalog, lineage, and quality; Sync moves data in real time across 50+ connectors; Report analyzes at scale with...

Features and specs

What each product offers, as listed by its team.

CloudLinux 5 features

Prolyz 5 features

Enhanced Server Stability
CloudLinux uses its lightweight virtualization technology (LVE) to isolate each tenant on a shared hosting server, preventing any single user from consuming excessive resources and crashing the server for everyone else. This ensures consistent uptime and performance.
Improved Security with HardenedPHP and KernelCare
CloudLinux offers HardenedPHP, which patches old and unsupported PHP versions against known vulnerabilities, and KernelCare, which provides live kernel patching without requiring server reboots. These features significantly enhance server security posture.
Resource Limit Management
Administrators can set granular resource limits (CPU, memory, I/O, number of processes, etc.) per user account using LVE Manager. This makes it easy to manage shared hosting environments and ensure fair resource distribution among tenants.
CageFS File System Virtualization
CageFS creates a virtualized file system for each user, preventing them from seeing other users on the server, viewing sensitive configuration files, or exploiting server vulnerabilities. This adds an important layer of isolation and security.
Wide Compatibility with Hosting Panels
CloudLinux integrates seamlessly with popular hosting control panels such as cPanel, Plesk, and DirectAdmin, making it straightforward for hosting providers to adopt without overhauling their existing infrastructure or workflows.

Possible disadvantages

Additional Licensing Cost
CloudLinux requires a paid monthly or annual license on top of the base server cost. For smaller hosting providers or individual server owners, this additional expense can add up and may not always be justifiable compared to free alternatives.
Limited to CentOS/RHEL-Based Systems
CloudLinux is built on top of RHEL/CentOS and does not support other Linux distributions like Ubuntu or Debian. This limits its adoption for hosting providers who prefer or already run non-RHEL-based environments.
Learning Curve for Configuration
While CloudLinux provides powerful resource management tools, properly configuring LVE limits, CageFS, PHP Selector, and other features requires a solid understanding of the platform. Misconfiguration can lead to users being unnecessarily restricted or resources being poorly allocated.
Potential Performance Overhead
The additional layers of virtualization, resource monitoring, and file system isolation introduced by CloudLinux can impose a slight performance overhead on the server compared to running a bare, unmodified Linux distribution without these controls.
Dependency on CloudLinux Ecosystem
Adopting CloudLinux means relying on their ecosystem for kernel updates, PHP patches, and security fixes. If the company experiences delays in releasing patches or changes its pricing/licensing model, hosting providers may find themselves locked into a dependency that is difficult to migrate away from.

Real-time CDC
Log-based change data capture streams every insert, update and delete the moment it is committed, across 50+ connectors.
Built-in OLAP analytics
ClickHouse engine included: interactive reports and ML forecasting on live data, with no separate warehouse to stand up.
Causal AI
Causal inference (Pearl, DoWhy) explains why a number moved, not just that it did, with the reasoning attached.
Privacy-first local AI
All AI reasoning runs on a local model inside your environment. Neither data nor metadata leaves it. GDPR and KVKK aligned.
Governed catalog & lineage
Every asset cataloged with column-level lineage, quality scoring, quarantine rules and domain ownership.

Analysis

An editorial look at what each product does well and who it suits.

CloudLinux

Prolyz

Overall verdict

CloudLinux is a well-regarded, mature Linux OS distribution and toolset specifically designed for shared hosting and multi-tenant server environments, offering strong isolation, resource management, and security features that make it a solid choice for hosting providers.

Why this product is good

Provides LVE (Lightweight Virtual Environment) technology for per-tenant resource isolation, preventing 'bad neighbor' effects on shared servers
Enhances server stability and security by isolating users so that one account's issues (crashes, resource spikes) don't affect others
Offers extended lifecycle support (longer than standard CentOS/RHEL support windows), which is valuable for legacy systems
Includes tools like CloudLinux OS Shield, Imunify360 integration, and hardened kernel options for improved security
Compatible with popular control panels like cPanel and Plesk, making it easy to integrate into existing hosting stacks
Backed by an established company with a long track record in the hosting industry and responsive support
Offers granular control over CPU, memory, I/O, and other resources per user account
Provides PHP Selector and multiple PHP version support, useful for hosting providers serving diverse client needs

Recommended for

Web hosting companies running shared or reseller hosting environments
Hosting providers needing to isolate customer accounts on the same physical server
Businesses requiring extended OS support lifecycles beyond standard RHEL/CentOS EOL dates
Enterprises using cPanel or Plesk that want tighter security and resource control
Hosting companies looking to reduce support tickets caused by noisy-neighbor resource contention
IT teams managing multi-tenant infrastructure who need governance and monitoring tools built into the OS layer

No analysis of Prolyz yet.

Videos

Walkthroughs and reviews on video.

CloudLinux 3 videos + Add

Prolyz 0 videos + Add

When To Use Cloudlinux On Your Virtual Private Server (VPS)

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100

CloudLinux

Prolyz

100% 100%

Cloud Hosting

0% 0%

Business Intelligence

100% 100%

Web Hosting

0% 0%

Data Integration

100% 100%

Questions & Answers

As answered by people managing CloudLinux and Prolyz.

What makes your product unique?

Prolyz's answer:

Three things that rarely ship together in one platform:

Built-in OLAP. A ClickHouse engine is part of the product, so interactive analysis and ML forecasting run on live data with no separate warehouse to stand up.
Causal AI, not correlation. Prolyz Agent uses causal inference (Pearl's framework via DoWhy) to isolate why a number moved, and returns the reasoning with the answer.
Privacy-first local AI. All reasoning runs on a model inside your environment. Neither data nor metadata leaves it, which is what makes on-premise and air-gapped deployments possible.

Underneath, four governed layers hand data to each other: Data (catalog, lineage, quality), Sync (real-time CDC and ETL), Report (OLAP analytics) and Agent (decisions).

Why should a person choose your product over its competitors?

Prolyz's answer:

It depends on what you already run, and we try to be honest about that.

Against pipeline tools (Fivetran, Airbyte): they move data into a warehouse you still have to buy, model and report on. Prolyz moves it and then governs, analyses and explains it in one platform.
Against enterprise suites (Informatica): they are deeper in master data management, but reporting and reasoning live in other vendors' tools. Prolyz ships built-in OLAP and causal AI.
Against BI (Power BI, Tableau): a dashboard shows what changed. Prolyz Agent traces why, with causal inference rather than correlation.

And one hard requirement others rarely meet: everything, including the AI, can run on-premise or air-gapped, with no data or metadata leaving your environment.

How would you describe the primary audience of your product?

Prolyz's answer:

Data and analytics teams in mid-market and enterprise organisations that run business-critical systems (SAP, CRM, operational databases) and are expected to answer questions faster than a nightly batch allows.

Typical buyers: heads of data, BI and analytics leads, data engineers and CTOs. The strongest fit is regulated sectors, finance, insurance, healthcare, public sector and manufacturing, where data has to stay on-premise or in-country and every number needs an audit trail.

Common starting point: a team that already has dashboards, but where the question "why did this change?" still takes days.

What's the story behind your product?

Prolyz's answer:

Prolyz was founded in 2026 by two engineers who had spent years building data platforms for enterprises, and kept watching the same thing happen: the pipelines worked, the dashboards were accurate, and nobody could say why a number moved. Answering that took days of exports, meetings and guesswork.

The second pattern was regulatory. In finance, insurance and the public sector, the answer to "can we send this data to a cloud model?" was simply no, which ended most AI projects before they started.

So Prolyz was built around two commitments: reason about causes rather than correlations, and do it entirely inside the customer's environment. The company is registered in London as Prolyz Ltd, with engineering in Istanbul.

Which are the primary technologies used for building your product?

Prolyz's answer:

Services: .NET 8 microservices behind a YARP gateway, OAuth 2.0 / OIDC via OpenIddict, RabbitMQ and MassTransit for events.
Data path: PostgreSQL for OLTP, log-based CDC into ClickHouse for OLAP, Redis for cache, Qdrant for vector search.
AI: Python and FastAPI with DoWhy for causal inference and local LLMs (Ollama) so nothing leaves the customer's environment; MCP servers pull external context.
Frontend: React and Next.js.
Operations: Docker and Kubernetes with Helm, OpenTelemetry, Prometheus, Grafana, Loki and Tempo.

Deployment: managed SaaS, hybrid, or fully on-premise and air-gapped, from the same codebase.

User comments

Share your experience with using CloudLinux and Prolyz. For example, how are they different and which one is better?