Better data integration with the Wikipedia Azure Data Factory connector
The fastest way to copy and exchange sales, finance and customer data in Wikipedia and over 75 other data sources using Azure Data Factory.
we serve over 20000 companies
Exchange Data
Exchange business data in an automated and reliable way within and across applications for optimal data integration
Wikipedia is online software for encyclopedical knowledge. Wikipedia handles both the collection, sharing and maintenance of large volumes of encyclopedical knowledge across a wide range of languages.
Improve your business using the free Wikipedia Azure Data Factory Connector
- Completely online free database with 2 tables requiring no additional software to analyze your source data.
- Live data from Wikipedia in Azure Data Factory within 5 minutes. Just execute the steps in the video. No training, technical skills or Wikipedia API knowledge needed.
- Combine data from dozens of cloud data sources and choose from the industry-largest number of connected tables.
- Compatible with Power BI and Power Query for Excel.
- High performance data exchange on high data volumes with customer, sales and finance data from Wikipedia.
- Completely free.
- Personal support and extensive community from Dutch market leader.
With the Wikipedia connector for Azure Data Factory you will by default fetch the data from all connected Wikipedia companies in your dashboard. You can limit the number of Wikipedia companies that are retrieved in Azure Data Factory through the Database settings. For example, you can also limit the connector for Azure Data Factory to the data from exactly one Wikipedia company. Of course, you can also filter the data by a specific Wikipedia company using a filter step in Azure Data Factory. The Wikipedia connector for Azure Data Factory has advanced optimizations for great real-time performance with both a single Wikipedia company as well as with hundreds of Wikipedia companies.
Insight by Combining Wikipedia Data Real Time
You can integrate all data from your enterprise systems in a virtual datawarehouse. The integrated SQL engine makes more than 75 different cloud and on-premises data sources available for valuable insights with, for example, a Microsoft Power BI dashboard or Excel reports. Improve your business management using reliable data visualized in graphs, hard numbers and KPI dashboards with hard details without installing any additional add-on or software locally for your dashboard and reports.
Most comprehensive Azure Data Factory Connector for Wikipedia
The Invantive Azure Data Factory connector for Wikipedia is the most comprehensive Wikipedia connector available online for Azure Data Factory. The data of all Wikipedia APIs (an "API" is an interface) is easily available for use in Power BI, Power Query, Azure Data Factory or SQL. In total there are 2 Wikipedia tables available directly after registration. You only use the standard Microsoft OData connector included within Azure Data Factory. The Microsoft OData connector is available for Power BI Desktop, Power BI web, Power Query and Azure Data Factory. The Azure Data Factory connector of Invantive provides automatic and real-time translation between OData and Wikipedia thanks to our Invantive UniversalSQL-engine. Numerous optimizations ensure smooth performance of the Wikipedia Azure Data Factory connector. Thanks to the absence of local drivers you can also use the Wikipedia Azure Data Factory connector on a Mac.
Flexible Azure Data Factory connector from the start, requires no technical knowledge
Enable data integration from Wikipedia with ease in Azure Data Factory with the more than 75 other platforms that Invantive supports. There are NO additional costs for extra platform-specific Azure Data Factory connectors. All Invantive products are flexible and easily grow from start-up to billion dollar company. They are available for on-premise and online use. Only the Invantive real-time connector for Azure Data Factory makes all Wikipedia APIs available. You do not need any technical knowledge of Wikipedia or the Wikipedia APIs for the connection; with only knowledge of Azure Data Factory you can process the data from Wikipedia into KPIs or a report within a few minutes. The Wikipedia connector also provides support for MacOS, Windows and Linux clients. Each data source can be used as data integration service, data exchange service, analysis and analytics on top of your marketing, sales and financial data. A data warehouse can be managed using a data source based on the Wikipedia connector or any of the other web connectors. Similarly, reports and data sets can be loaded directly. For large scale data warehouse with over 1 terabyte of managed data, you can scale Invantive technology using the enterprise and OEM solution Invantive Data Replicator. With all subscriptions you will receive one hour of free explanation by an experienced trainer based on your data and on your PC. Don't have the time to put together your own KPIs or do you want help in setting up your processes or administrations? The Azure Data Factory connector for Wikipedia of Invantive is supported by Invantive as well as multiple implementation partners with experience about the connector and business operations. Within an extensive online community you have easy access to the collected knowledge about Azure Data Factory and Wikipedia.
Grow with the Wikipedia Azure Data Factory connector
Is your company going to grow seriously? Investments made in reports and Azure Data Factory knowledge will be retained. Software from Invantive is used by companies from small to large and the top-30 accountants. The use of Invantive is an investment in the future with which you can play it safe. If you choose an additional software package besides Wikipedia, you will find a connector first at Invantive.
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Free Plan
Free- Includes Azure Data Factory connectors for Wikipedia, Autotask, Brevo, Calendly, Cbs.nl, CIR, Crisp, Data Dictionary, DocumentCloud.org, Dummy, ECB Exchange Rates, Fortnox, Freshdesk, Freshservice, FTP, GitHub, GitLab, Invantive Data Replicator, Jira, Kadaster, KeePass, Localazy, Logius COR, Mail, NASA, OpenArch, Openspending.nl, OS, Outlook, PostgreSQL, Postman, RDW, RSS, SIE, SnelStart, StackOverflow, Tweede Kamer (NL), VirusTotal, WMI, XML Audit File Financial (Dutch).
- Use for free.
- No further obligations.
- No user limit.
- No entrance or setup fees.
- Effortlessly manages tables with millions of rows per table.
- Automatic dashboard updates without a need for Power BI Gateway.
- Includes Wikipedia connector for Azure Data Factory.
- Includes Invantive Cloud for Power BI, Power Query, Tableau and Azure Data Factory.
- Includes also Excel and Word add-in.
- Includes also Data Replicator and Data Hub.
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Office for Entrepreneurs
€ 59 /mo- Enjoy a fixed, affordable rate for 1 to 25 companies.
- Choose any combination of (cloud)platforms from 75 available.
- You pay as low as € 2.36 per company and platform. Also therefore: Guaranteed Lowest Prices!
- No entrance or setup fees.
- Effortlessly manages tables with millions of rows per table.
- Includes Wikipedia connector for Azure Data Factory.
- Includes Invantive Cloud for Power BI, Power Query, Tableau and Azure Data Factory.
- Includes also Excel and Word add-in.
- Includes also Get My Report.
- No Power BI, Power Query, Tableau and Azure Data Factory user limit.
- At most 2 interactive users on Invantive's interactive products.
- Upgrade to Office Premium to also include Exact Online Premium, Data Hub, Data Replicator, 10 users instead of 2 on Invantive interactive products and higher Fair Use limits: € 119.
- No usage? No invoice.
- Terminable at any time.
All Invantive subscriptions include online forum support and interactive contact such as chat and phone. For each company, a free 1-hour introduction is available and recommended for quick results. Specific conditions, acceptance criteria and fair use rules apply. Service only available in selected countries, including all EU members, the United Kingdom, the United States, Canada, Vietnam and Taiwan.