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Devart

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1,148 reviews
  • 183 profiles
  • 31 categories
Average star rating
4.6
Serving customers since
1997
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Mailchimp SSIS Components by Devart

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Devart SSIS Data Flow Components for Mailchimp allow you to integrate Mailchimp data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Mailchimp Source, Mailchimp Destination, and Mailchimp Lookup components and provide their own Mailchimp Connection Manager with lots of Mailchimp-specific connectivity features. - Export data from Mailchimp to various sources - Import XML, CSV, and other files to Mailchimp - Automate Mailchimp integration via SSIS Data Flow tasks - Migrate from/to Mailchimp using SSIS - Synchronize Mailchimp with SQL Server or other data sources - Integrate various data sources with Mailchimp via SSIS

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Slack SSIS Components by Devart

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Devart SSIS Data Flow Components for Slack allow you to integrate Slack data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Slack Source, Slack Destination, and Slack Lookup components and provide their own Slack Connection Manager with lots of Slack-specific connectivity features. - Export data from Slack to various sources - Import XML, CSV, and other files to Slack - Automate Slack integration via SSIS Data Flow tasks - Migrate from/to Slack using SSIS - Synchronize Slack with SQL Server or other data sources - Integrate various data sources with Slack via SSIS

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Freshworks CRM SSIS Components by Devart

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Devart SSIS Data Flow Components for Freshworks CRM allow you to integrate Freshworks CRM data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Freshworks CRM Source, Freshworks CRM Destination, and Freshworks CRM Lookup components and provide their own Freshworks CRM Connection Manager with lots of Freshworks CRM-specific connectivity features. - Export data from Freshworks CRM to various sources - Import XML, CSV, and other files to Freshworks CRM - Automate Freshworks CRM integration via SSIS Data Flow tasks - Migrate from/to Freshworks CRM using SSIS - Synchronize Freshworks CRM with SQL Server or other data sources - Integrate various data sources with Freshworks CRM via SSIS

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Google Analytics SSIS Components by Devart

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Devart SSIS Data Flow Components for Google Analytics allow you to integrate Google Analytics data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Google Analytics Source, Google Analytics Destination, and Google Analytics Lookup components and provide their own Google Analytics Connection Manager with lots of Google Analytics-specific connectivity features. - Export data from Google Analytics to various sources - Import XML, CSV, and other files to Google Analytics - Automate Google Analytics integration via SSIS Data Flow tasks - Migrate from/to Google Analytics using SSIS - Synchronize Google Analytics with SQL Server or other data sources - Integrate various data sources with Google Analytics via SSIS

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MySQL/MariaDB SSIS Components by Devart

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Devart SSIS Data Flow Components for MySQL allow you to integrate MySQL data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized MySQL Source, MySQL Destination, and MySQL Lookup components and provide their own MySQL Connection Manager with lots of MySQL-specific connectivity features. - Export data from MySQL to various sources - Import XML, CSV, and other files to MySQL - Automate MySQL integration via SSIS Data Flow tasks - Migrate from/to MySQL using SSIS - Synchronize MySQL with SQL Server or other data sources - Integrate various data sources with MySQL via SSIS

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Salesforce MC SSIS Components by Devart

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Devart's SSIS Data Flow Components for Salesforce Marketing Cloud (formerly ExactTarget enable seamless integration of Salesforce Marketing Cloud data—such as subscribers, emails, and data extensions—with various cloud applications and databases through SQL Server Integration Services (SSIS. These components include optimized Source, Destination, and Lookup functionalities, along with a dedicated Connection Manager, facilitating efficient ETL processes without the need for extensive coding. Key Features and Functionality: - SQL Support: The Source component supports SQL queries, allowing for complex SELECT statements with grouping, filtering, and ordering. Simple queries are directly translated into Salesforce Marketing Cloud API calls, while more complex ones are processed locally after data retrieval. - User-Friendly Source Editor: A convenient editor displays all Salesforce Marketing Cloud objects and fields, enabling users to build queries via drag-and-drop. It also lists available system and user variables, simplifying the inclusion of dynamic elements in queries. - Advanced Lookup Optimizations: The Lookup component employs advanced optimization techniques, checking multiple rows simultaneously and caching results to minimize server round-trips, thereby enhancing performance. - High-Performance Destination Component: The Destination component supports all DML operations—INSERT, UPDATE, and DELETE—allowing for rapid data loading into Salesforce Marketing Cloud. Primary Value and User Solutions: These components streamline the integration of Salesforce Marketing Cloud with other systems, automating data import and export processes, and ensuring data consistency across platforms. By leveraging SSIS workflows, users can efficiently synchronize Salesforce Marketing Cloud data with SQL Server or other data sources, reducing manual effort and enhancing operational efficiency. This solution is particularly beneficial for organizations seeking to optimize their ETL processes and maintain up-to-date, accurate data across their business applications.

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Marketo SSIS Components by Devart

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Devart SSIS Data Flow Components for Marketo allow you to integrate Marketo data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Marketo Source, Marketo Destination, and Marketo Lookup components and provide their own Marketo Connection Manager with lots of Marketo-specific connectivity features. - Export data from Marketo to various sources - Import XML, CSV, and other files to Marketo - Automate Marketo integration via SSIS Data Flow tasks - Migrate from/to Marketo using SSIS - Synchronize Marketo with SQL Server or other data sources - Integrate various data sources with Marketo via SSIS

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Salesforce SSIS Components by Devart

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Devart SSIS Data Flow Components for Salesforce allow you to integrate Salesforce data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Salesforce Source, Salesforce Destination, and Salesforce Lookup components and provide their own Salesforce Connection Manager with lots of Salesforce-specific connectivity features. - Export data from Salesforce to various sources - Import XML, CSV, and other files to Salesforce - Automate Salesforce integration via SSIS Data Flow tasks - Migrate from/to Salesforce using SSIS - Synchronize Salesforce with SQL Server or other data sources - Integrate various data sources with Salesforce via SSIS

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Pipedrive SSIS Components by Devart

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Devart SSIS Data Flow Components for Pipedrive allow you to integrate Pipedrive data with other databases and cloud applications via SQL Server Integration Services (SSIS). They include optimized Pipedrive Source, Pipedrive Destination, and Pipedrive Lookup components and provide their own Pipedrive Connection Manager with lots of Pipedrive-specific connectivity features. - Export data from Pipedrive to various sources - Import XML, CSV, and other files to Pipedrive - Automate Pipedrive integration via SSIS Data Flow tasks - Migrate from/to Pipedrive using SSIS - Synchronize Pipedrive with SQL Server or other data sources - Integrate various data sources with Pipedrive via SSIS

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Devart Reviews

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Profile Name
Star Rating
902
211
19
7
9
Justin G.
JG
Justin G.
Data Engineer at Medflow Clinical
05/12/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

No-Code ETL That Nails Complex Mapping and Cloud Migration

I've used a few different ETL tools and this one stands out because of the no-code approach that actually handles complex mapping well. We recently moved some of our data from an on-premise setup to the cloud and it handled the migration without many hiccups. The scheduling feature is reliable and I like that I can set things to run hourly or daily depending on how fresh we need the data to be. Customer support has also been pretty responsive when I had questions about our subscription limits.
Angela R.
AR
Angela R.
Data Analyst at Insight Retail Software
05/12/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Practical way to move data into BigQuery without a dev team

The main thing for me is how fast I can get a pipeline running. We use BigQuery for our analytics and getting data out of various SaaS tools like Salesforce used to be a headache that required waiting on a developer. With this, I can just map the fields myself. The interface isn't the flashiest I have seen but it is very logical. I also appreciate that it handles the schema creation for you so I don't have to manually write SQL to prep the tables before the first sync. It just works in the background and I rarely have to check on it.
Dmytro S.
DS
Dmytro S.
Co-Founder at Syntropy
05/08/2026
Validated Reviewer
Verified Current User
Review source: Organic

Good for centralizing campaign and product marketing data

We use Skyvia to pull marketing and product data from platforms like HubSpot, Google Ads, and internal databases into BigQuery for reporting and campaign analysis. Since we’re a small team, having a no-code setup was important because we didn’t want to spend time maintaining custom integrations. Most connectors were easy to configure, and scheduled syncs have been reliable enough that we rarely need to think about them once they’re running.

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HQ Location:
Wilmington, Delaware, USA

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@DevartSoftware

Streamline complex data tasks and increase productivity with our expert solutions

Since its founding in 1997, Devart has been working on simplifying and enhancing data workflows for both individual professionals and teams, including enterprise-level organizations from the Fortune 100 list. Currently, Devart is one of the leading developers of data integration, backup, management, and connectivity solutions, as well as database tools for major database management systems and cloud platforms.

Details

Year Founded
1997
Website
www.devart.com