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About intergator

Intergator is a data integration software from Interface Projects that simplifies the process of combining various data sources. It includes capabilities for data extraction, change, and loading to help users manage their data effectively. Intergator allows users to connect to multiple databases and APIs, providing comprehensive access to data across different platforms. Its user-friendly interface facilitates easy navigation, while reliable reporting features enable users to generate insights from their data. Key capabilities: data extraction change functions loading mechanisms user-friendly interface reporting tools Best for: data analysts and businesses that need to integrate and analyze data from diverse sources.

intergator Details

Vendor
interface projects
Year Launched
1993
Location
interface projects GmbH Cottaer Straße 2 01159 Dresden
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, German
Users
Administrators, Business Analysts, Knowledge Managers, Research Specialists.
Industries Served
Administration, Industry, Banks and insurance companies, IT & Communications, Research and development
Tags
Enterprise Search, Data Management, Information Retrieval, Knowledge Management, Document Management, Search Engine, Text Mining, Content Management, Data Integration, Collaboration, Information Governance

intergator's In-App Market Place

Does intergator have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€)

Pros & Cons

  • AI-driven search significantly reduces time spent locating relevant information.
  • Access to comprehensive, contextually relevant data supports better decision-making.
  • Highly customizable user experience through dashboards and natural language queries.
  • On-premise hosting ensures compliance with strict data protection regulations and maintains data privacy.
  • Complex initial setup requiring integration of multiple data sources.
  • Advanced features may have a learning curve and require training.
  • AI capabilities can be resource-intensive, potentially impacting performance.

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