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Invantive Cloud VS Timextender

Compare Invantive Cloud VS Timextender and see what are their differences

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app. featured
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Invantive Cloud logo Invantive Cloud

Invantive Cloud is the fastest way to report sales, finance and customer data in Exact Online, ActiveCampaign, NMBRS, Twinfield and over 70 other platforms using Power BI and Power Query.

Timextender logo Timextender

Make quality business decisions with data, mind and heart
  • Invantive Cloud Landing page
    Landing page //
    2023-05-19
  • Timextender Landing page
    Landing page //
    2023-05-12

Invantive Cloud videos

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Timextender videos

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TimeXtender - under the hood

More videos:

  • Review - TimeXtender at Microsoft Ignite 2018 Highlights

Category Popularity

0-100% (relative to Invantive Cloud and Timextender)

Invantive Cloud

Timextender

Data Integration
25 25%
Data Integration
75% 75
Web Service Automation
24 24%
Web Service Automation
76% 76
IT Management
100 100%
IT Management
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

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What are some alternatives?

When comparing Invantive Cloud and Timextender, you can also consider the following products

Invantive Data Replicator - Replicate your cloud data in a relational SQL database for upto 2.500 times faster reports

CData Sync - Straightforward data synchronizing between on-premise and cloud data sources with a wide range of traditional and emerging databases.

CData Cloud Hub - The CData Cloud Hub provides live data connectivity to more than 200+ Enterprise Data Sources through standard data interfaces

SymmetricDS - SymmetricDS is an asynchronous database replication software package that supports multiple subscribers and bi-directional synchronization.

CData Excel Add-Ins - Excel Add-In for mass imports / exports / updates, data cleansing & de-duplication and data analysis.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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