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Devart

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1,099 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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Star Rating

856
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9

Devart Reviews

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Profile Name
Star Rating
856
208
19
7
9
Lyudmila Z.
LZ
Lyudmila Z.
Marketing specialist at EVADAV - The Evolving Ad Network
01/22/2026
Validated Reviewer
Verified Current User
Review source: Organic

Salesforce to BigQuery sync

We mainly use Skyvia to replicate Salesforce data into BigQuery on a schedule. Once the initial setup was done, the pipeline has been stable and predictable. Incremental updates work as expected, and the data lands in BigQuery in a structure that’s easy to work with for analytics.
Burke  A.
BA
Burke A.
01/17/2026
Validated Reviewer
Review source: Organic

Cost-Effective Integration Solution

Skyvia's flexible pricing model, which makes it very cost effective. We can scale usage without committing to expensive enterprise-level contracts.
Maksym V.
MV
Maksym V.
Посада COO at Geonix
01/12/2026
Validated Reviewer
Verified Current User
Review source: Organic

A solid integration platform for day-to-day data workflows

What I like most about Skyvia is how practical it is for real integration work. We use it to move and sync data across systems without having to build and maintain custom pipelines from scratch. It gives enough flexibility around mappings, filters, and schedules, while still being approachable for a small technical team.

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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