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Devart

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1,151 reviews
  • 189 profiles
  • 31 categories
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4.6
Serving customers since
1997
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Devart Python Connectors

1 review

Devart Python Connector is a reliable connectivity solution for accessing database servers and cloud services from Python applications to perform create, read, update, and delete operations on stored data. The solution fully implements the Python DB API 2.0 specification and is distributed as a wheel package for Windows, macOS, and Linux. - Full conformance to the Python DB API 2.0 specification - Support for Python versions from 3.7 to 3.12 - Direct connection without the database client libraries - Support for the ANSI SQL syntax in all connectors - Available for Windows, macOS, and Linux

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dbForge Transaction Log for SQL Server

1 review

dbForge Transaction Log for SQL Server is a powerful transaction log reader tool and .ldf file viewer. With its help, you can view and analyze SQL Server transaction logs and recover data from them. The tool provides detailed information about all data changes in your database and gives you the ability to revert unwanted transactions on different levels depending on your current needs.

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Zoho People SSIS Components by Devart

1 review

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

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Zoho Invoice SSIS Components by Devart

1 review

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

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dbForge Schema Compare for MySQL

1 review

dbForge Schema Compare for MySQL is a tool designed to allow users to compare the structure of two MySQL databases. It supports MariaDB database servers as well as Percona servers, and users can manage MariaDB users and their privileges.

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dotConnect for SQLite

1 review

dotConnect for SQLite is a high-performance ORM enabled data provider for SQLite that builds on ADO.NET technology to present a complete solution for developing SQLite-based database applications.

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Azure Synapse Analytics SSIS Components by Devart

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

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NetSuite SSIS Components by Devart

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

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FreshBooks SSIS Components by Devart

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

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Devart Reviews

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905
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9
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
Alex K.
AK
Alex K.
Co-Founder & CTO | Architecting Scalable Systems & High-Performance Engineering Cultures
05/13/2026
Validated Reviewer
Verified Current User
Review source: Thank You page

Fast, Straightforward Data Syncing That Just Works

Honestly the biggest thing for me was how quick we got this running. We are a small team of five people handling data for a SaaS company with about 40 employees. I am the only analytics engineer and I do not have time to mess around with complicated setups. With Skyvia I had our Snowflake data syncing to Salesforce within an hour. That never happens with other tools we tried. The interface is straightforward. You pick your source, pick your destination, map the fields, and schedule it. For the price we are paying I really cannot complain. It handles our main use cases which is moving data from our operational databases into BigQuery and then sometimes pushing that back into our CRM. The reverse ETL part works fine for our size. We are not doing anything crazy advanced but for keeping our sales team’s data fresh it gets the job done.
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