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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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PostgreSQL SSIS Components by Devart

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

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ShipStation SSIS Components by Devart

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Devart's SSIS Data Flow Components for ShipStation are designed to seamlessly integrate ShipStation data—such as customers, orders, and products—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 ShipStation Connection Manager, facilitating efficient ETL processes. Key Features and Functionality: - SQL Support for ShipStation: The ShipStation Source component supports SQL queries, translating simple statements directly into ShipStation API calls for execution. More complex queries are processed locally after retrieving the necessary data from ShipStation. This allows for advanced SELECT statements with grouping, filtering, and ordering capabilities. - User-Friendly Source Editor: A convenient editor displays all ShipStation objects and their fields, enabling users to construct queries via drag-and-drop. It also lists available system and user variables, facilitating their inclusion in SELECT statements. Users can preview data to ensure queries yield the desired results. - Advanced Lookup Optimizations: The Lookup component employs optimization techniques to enhance performance by checking multiple rows simultaneously and caching results, thereby reducing server round-trips. - High-Performance Destination Component: The Destination component supports all DML operations—INSERT, UPDATE, and DELETE—allowing for rapid data loading into ShipStation. Primary Value and Problem Solved: By leveraging Devart's SSIS Data Flow Components for ShipStation, organizations can automate and streamline their data integration processes, reducing manual effort and minimizing errors. This integration ensures that ShipStation data remains synchronized with other systems, enhancing operational efficiency and data consistency across platforms.

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SQLite SSIS Components by Devart

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

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Zoho Inventory SSIS Components by Devart

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

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Insightly CRM SSIS Components by Devart

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Devart's SSIS Data Flow Components for Insightly CRM are designed to seamlessly integrate Insightly CRM data with various databases and cloud applications through SQL Server Integration Services (SSIS. This suite includes optimized components such as Insightly Source, Insightly Destination, and Insightly Lookup, along with a dedicated Insightly Connection Manager, facilitating efficient data extraction, transformation, and loading (ETL processes. Key Features and Functionality: - SQL Support for Insightly CRM: The Insightly Source component supports SQL queries, translating simple statements directly into Insightly CRM API calls for execution. Complex queries involving grouping, filtering, and ordering are processed locally after retrieving the necessary data from Insightly CRM. - User-Friendly Source Editor: A convenient editor displays all Insightly CRM objects and fields, enabling users to construct queries via drag-and-drop. It also lists available system and user variables, allowing for quick incorporation into SELECT statements. - Advanced Lookup Optimizations: The Insightly Lookup component employs advanced optimization techniques, processing multiple rows simultaneously and caching results to minimize server round-trips, thereby enhancing performance. - High-Performance Destination Component: The Insightly Destination component supports all DML operations—INSERT, UPDATE, and DELETE—allowing for rapid data loading into Insightly CRM. Primary Value and User Solutions: By leveraging Devart's SSIS Data Flow Components for Insightly CRM, organizations can: - Streamline Integration Processes: Quickly develop SSIS-based solutions to integrate Insightly CRM with other systems, reducing development time and complexity. - Automate Data Workflows: Automate data import and export tasks, including handling CSV files, to maintain up-to-date and accurate information across platforms. - Enhance Data Synchronization: Synchronize Insightly CRM data with SQL Server or other data sources, ensuring consistency and reliability in data management. These components address the challenges of integrating Insightly CRM with diverse systems, offering a robust and efficient solution for managing complex data workflows.

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Snowflake SSIS Components by Devart

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

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Google Ads SSIS Components by Devart

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Devart's SSIS Data Flow Components for Google Ads are designed to seamlessly integrate Google Ads data with various cloud applications and databases through SQL Server Integration Services (SSIS. These components facilitate efficient extraction, transformation, and loading (ETL processes, enabling users to automate data workflows, synchronize Google Ads data with SQL Server, and import or export CSV files to and from Google Ads. Key Features and Functionality: - Optimized Components: Includes Google Ads Source, Destination, and Lookup components, each tailored for high-performance data operations. - SQL Support: Allows the use of SQL queries to retrieve data from Google Ads, supporting complex SELECT statements with grouping, filtering, and ordering. - User-Friendly Editor: Provides a convenient editor that displays all Google Ads objects and fields, enabling users to build queries via drag-and-drop and preview data outputs. - Advanced Lookup Optimization: Employs optimization techniques to enhance performance by reducing server round-trips and caching results. - Comprehensive DML Operations: Supports INSERT, UPDATE, and DELETE operations for efficient data management within Google Ads. Primary Value and User Solutions: By integrating Google Ads data directly into SSIS workflows, these components eliminate the need for manual data handling, reducing errors and saving time. They enable businesses to automate data integration tasks, synchronize advertising data with internal databases, and generate comprehensive reports, thereby enhancing data-driven decision-making and optimizing marketing strategies.

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Podio SSIS Components by Devart

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

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Streak SSIS Components by Devart

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

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Devart Reviews

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Profile Name
Star Rating
902
211
19
7
9
Emily  C.
EC
Emily C.
Procurement Specialist at Buildcore Constructions
05/18/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Easy, No-Code Data Sync Setup with Straightforward Pricing

Honestly the biggest win for me is how easy it is to get up and running. I’m not a developer and I don’t have time to learn complicated scripting just to move data between our ERP and a few cloud apps we use for supplier tracking. With Skyvia, I set up my first sync in about twenty minutes just by clicking through the interface. That never happens for me with integration tools. I also really appreciate that I don’t have to commit to a huge annual contract just to test if it works for our use case. The pricing model is straightforward which is rare in this space. For a construction company where budgets are tight and every tool has to prove its value, that matters.
Lena  F.
LF
Lena F.
Recruitment Coordinator ‍at TalentBridge Solutions
05/18/2026
Validated Reviewer
Verified Current User
Review source: Organic

Reliable cloud syncing that saved our HR data pipelines without needing an IT overhaul

As a recruitment coordinator, I manage a massive amount of candidate data flowing between our applicant tracking system and external tracking sheets. Before we started using Skyvia, our data felt totally siloed. What I appreciate most about the platform is that I didn't need a background in software development to set up our data migrations. The interface is genuinely easy to navigate. Once our initial integrations were configured, the automated synchronization just worked seamlessly in the background. It handles the high volume of applicant records we process across multiple regions without dropping information, which keeps our daily pipeline accurate and running on schedule.
Tetiana K.
TK
Tetiana K.
Communications Officer at Eurasia Foundation
05/14/2026
Validated Reviewer
Verified Current User
Review source: Organic

Tmetricks: Easy, Affordable, and Great for Tracking Team Efficiency

Tmetricks is super easy to use, it is cheap and helps to track effiency of my team's work

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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