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  1. Stackups
  2. Utilities
  3. Task Scheduling
  4. Workflow Manager
  5. Process Street vs Zenaton

Process Street vs Zenaton

OverviewComparisonAlternatives

Overview

Process Street
Process Street
Stacks26
Followers28
Votes0
Zenaton
Zenaton
Stacks8
Followers12
Votes12

Zenaton vs Process Street: What are the differences?

Developers describe Zenaton as "Workflow Engine as a Service". Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic. On the other hand, Process Street is detailed as "Simple Process and Workflow Management". It is a cloud-based business process management (BPM) solution that enables organizations to create checklists and process documents for recurring projects.

Zenaton and Process Street belong to "Workflow Manager" category of the tech stack.

Some of the features offered by Zenaton are:

  • Workflows as code - Write domain logic directly in your application code. Include loops, wait function, parallel and asynchronous executions
  • Background Jobs Manager - Dispatch asynchronous jobs with one line of code
  • Error Handling - Prevent failures by writing automatic retries or fallback logic. View error data in a central location. Resume, retry or kill processes from the dashboard

On the other hand, Process Street provides the following key features:

  • Collaborative workflows
  • Procedure documents
  • Data structure

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Detailed Comparison

Process Street
Process Street
Zenaton
Zenaton

It is a cloud-based business process management (BPM) solution that enables organizations to create checklists and process documents for recurring projects.

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Collaborative workflows; Procedure documents; Data structure; Search; Regular workflow scheduling; Groups; Activity Feed; Collaboration and communication.
Workflows as code - Write domain logic directly in your application code. Include loops, wait function, parallel and asynchronous executions;Background Jobs Manager - Dispatch asynchronous jobs with one line of code;Error Handling - Prevent failures by writing automatic retries or fallback logic. View error data in a central location. Resume, retry or kill processes from the dashboard;Real-Time Monitoring - Insights into overall processes and execution history;Scheduler - Launch jobs on a recurring/delayed schedule or on a specific date;Hosted orchestration engine - Zenaton manages the queuing, and storing of database states and then executes tasks on your workers
Statistics
Stacks
26
Stacks
8
Followers
28
Followers
12
Votes
0
Votes
12
Pros & Cons
No community feedback yet
Pros
  • 3
    Error Handling
  • 3
    Monitoring
  • 2
    Workflows as code
  • 2
    Support
  • 1
    Alerting
Integrations
Box
Box
Gmail
Gmail
Yammer
Yammer
Heroku
Heroku
Dropbox
Dropbox
Zapier
Zapier
Clever Cloud
Clever Cloud
Salesforce Marketing Cloud
Salesforce Marketing Cloud
Ruby
Ruby
Heroku
Heroku
PHP
PHP
Node.js
Node.js
Python
Python
Clever Cloud
Clever Cloud

What are some alternatives to Process Street, Zenaton?

Airflow

Airflow

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

GitHub Actions

GitHub Actions

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

Apache Beam

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Luigi

Luigi

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Unito

Unito

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.

Shipyard

Shipyard

na

iLeap

iLeap

ILeap is a low-code app development platform to build custom apps and automate workflows visually, helping you speed up digital transformation.

PromptX

PromptX

PromptX is an AI-powered enterprise knowledge and workflow platform that helps organizations search, discover and act on information with speed and accuracy. It unifies data from SharePoint, Google Drive, email, cloud systems and legacy databases into one secure Enterprise Knowledge System. Using generative and agentic AI, users can ask natural language questions and receive context-rich, verifiable answers in seconds. PromptX ingests and enriches content with semantic tagging, entity recognition and knowledge cards, turning unstructured data into actionable insights. With adaptive prompts, collaborative workspaces and AI-driven workflows, teams make faster, data-backed decisions. The platform includes RBAC, SSO, audit trails and compliance-ready AI governance, and integrates with any LLM or external search engine. It supports cloud, hybrid and on-premise deployments for healthcare, public sector, finance and enterprise service providers. PromptX converts disconnected data into trusted and actionable intelligence, bringing search, collaboration and automation into a single unified experience.

AI Autopilot

AI Autopilot

Agentic AI Platform for Intelligent IT Automation built by MSPs for MSPs. Revolutionize your operations with advanced AI agents.

Camunda

Camunda

Camunda enables organizations to operationalize and automate AI, integrating human tasks, existing and future systems without compromising security, governance, or innovation.

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