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SSIS Data Flow Components for SQLite by Devart
Devart s.r.o.
SSIS Data Flow Components for SQLite by Devart
Devart s.r.o.
SSIS Data Flow Components for SQLite by Devart
Devart s.r.o.
Reliable and simple to use data connector for SQLite.
SQLite SSIS Data Flow Components
Devart SSIS Data Flow Components for SQLite allow you to integrate SQLite contacts, accounts, opportunities, leads, users, attachments, tasks, and other objects with other cloud applications and databases 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
SQLite Data Integration Via SSIS Data Flow Components
Integrate your SQLite data using Devart SSIS Data Flow Components. This solution simplifies the process of connecting and managing your SQLite data, so you can ensure smooth data flows between SQLite and other critical business systems. Thus you can improve your data-related operations and maintain data integrity across all platforms. Our solution does the following:
- Provides a framework that supports multiple data formats for reliable data integration across various platforms
- Allows you to define custom data validation rules, transformations, and mappings
- Enables you to create efficient ETL processes that run automatically
- Offers flexible and scalable means of handling large volumes of data and complex integration scenarios
Automated ETL Solutions with SQL Server
Automate your ETL processes with SQL Server for better productivity and reduce manual efforts. Our tools allow you to create ETL workflows that automatically extract, transform, and load data, minimizing errors and saving time. Achieve higher operational efficiency and focus on strategic business initiatives while our automation handles repetitive tasks. Our solution does the following:
- Allows your team to focus on more strategic activities rather than repetitive data management tasks
- Ensures that your data is consistently accurate and reliable across all integrated systems
- Reduces the need for extensive manpower and decreases the risk of error
- Offers efficient management of large-scale data integration tasks
Specific Connection Features
Our SSIS components for SQLite include their own connection manager, offering support for a lot of SQLite-specific and other features. It allows you to use user/password, OAuth, or SessionId authentication, specify SQLite-specific header options, connect via proxy, etc.
Convenient SQLite Source Editor
Devart SQLite Source component offers a convenient editor, which displays all the SQLite objects and their fields and allows you to quickly build a query to SQLite via drag-n-drop. It also displays the list of available system and user variables of the package, allowing you to quickly add them to your SELECT statements. If necessary, you can also quickly preview data, returned by the source, and check whether you query returns what you need.
Advanced Lookup Optimizations
Devart SQLite Lookup component offers very high performance because of the advanced optimization techniques used. It checks several rows at once, and caches the returned results to reduce the number of round-trips to the server.
High-performance SQLite Destination
Devart SQLite Destination component allows you to quickly load data to SQLite CRM. It supports all kinds of DML operations - INSERT, UPDATE, and DELETE.
SQL Support for SQLite
Devart SQLite Source supports SQL to get data from SQLite. Simple statements are translated directly to SQLite API calls and executed on the SQLite side, and for more complex statements, the necessary data are queried from SQLite and processed locally. You can specify complex SELECT statements with grouping, filtering, ordering, etc. in the Devart SQLite Source editor.
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