×

What does it do?

  • Data Integration
  • Application Building
  • Workflow Automation
  • EDI Automation
  • Hyperautomation

How is it used?

  • Web app for connecting systems
  • building apps
  • automating workflows.
  • 1. Access web app
  • 2. Connect systems
See more

Who is it good for?

  • Business Analysts
  • Software Developers
  • IT Managers
  • Data Integration Specialists
  • Workflow Automation Engineers

Details & Features

  • Made By

    Jitterbit
  • Released On

    2003-10-24

Jitterbit is a comprehensive data integration and automation platform that connects systems, builds applications, and automates processes across organizations. It enables businesses to streamline their operations by facilitating seamless data flow and process automation between various systems and applications.

Key features:

- System Connectivity: Connects cloud, on-premises, and hybrid environments for seamless data flow across the organization.
- Pre-built Connectors: Offers a wide range of connectors for popular applications like Salesforce, SAP, Oracle, and Microsoft Dynamics for quick integration.
- API Management: Provides capabilities to create, publish, and manage APIs efficiently.
- Low-Code Development: Simplifies the process of creating and deploying custom applications through a low-code environment.
- Reusable Components: Supports the creation of components that can be used across multiple projects for consistency and time-saving.
- EDI Automation: Streamlines the exchange of business documents between organizations through automated Electronic Data Interchange processes.
- Workflow Automation: Enables automation of complex workflows to reduce manual effort and increase operational efficiency.
- Hyperautomation: Integrates various automation tools and technologies to enable end-to-end process automation.

How it works:

1. Users access Jitterbit through its web-based interface.
2. They can manage integrations, build applications, and automate workflows within this environment.
3. For data integration, users can connect different systems (e.g., CRM and ERP) to synchronize data.
4. Custom applications can be built using low-code development tools.
5. Users can set up automated workflows for routine tasks like data backups and report generation.

Integrations:

Salesforce, SAP, Oracle, Microsoft Dynamics, NetSuite, Workday, ServiceNow

Use of AI:

Jitterbit incorporates generative artificial intelligence to enhance its automation capabilities. The platform uses AI to analyze data patterns, predict outcomes, and optimize workflows, which is integral to its hyperautomation strategy.

Target users:

- Business Analysts: For building custom applications and automating workflows
- IT Managers: For managing data integration and API management
- Developers: For leveraging the SDK to create advanced integrations and custom solutions

How to access:

Jitterbit is available as a web application, API, and SDK, providing flexibility for different types of users and use cases.

  • Supported ecosystems
    Salesforce, Salesforce, SAP, Oracle, Microsoft, NetSuite, Workday, ServiceNow
  • What does it do?
    Data Integration, Application Building, Workflow Automation, EDI Automation, Hyperautomation
  • Who is it good for?
    Business Analysts, Software Developers, IT Managers, Data Integration Specialists, Workflow Automation Engineers

Alternatives

Exotec provides robotics and software to automate and optimize warehouse operations for businesses.
Automate enterprise operations with high-accuracy document processing and data extraction
Protect sensitive data across platforms with automated detection and redaction
Deep Lake stores and streams complex data as tensors for efficient AI model training.
Anakin tracks competitor pricing and market trends for eCommerce businesses to optimize strategies.
Lume AI automates data mapping and pipeline management for efficient cross-system integration
H2O.ai provides open-source and enterprise AI solutions for predictive and generative tasks.
Extract and automate web data without coding for businesses, researchers, and marketers
Generate synthetic data that mimics real datasets for safe development and testing
Deploy and manage large language models on your own infrastructure with optimized processing