Top 10 Xplenty Alternatives 2026

What reviewers like about Datagaps ETL Validator

• Comprehensive ETL testing
• Handles millions of records
• Simultaneous test execution

Where Datagaps ETL Validator falls short

• Can be expensive
• Requires some technical knowledge
• Limited integration options

What reviewers like about Keboola

• Outstanding customer support that goes the extra mile to ensure the product fits well for the users' needs.
• User-friendly UI with a good collection of out-of-the-box connectors, easy to use and perfect for various data practices.
• Impressive array of connectors available, allowing for flexible architecting of ETL pipelines.

Where Keboola falls short

• Complex features and customizations may be overwhelming for newcomers without sufficient support.
• Limited Marketplace for apps and connectors, limiting advanced functionalities and options for users.

What reviewers like about Stitch

• Easy to set up and use, especially for non-engineers, enabling quick implementation.
• Provides a wide range of integrations with multiple services, making data ingestion seamless.
• Saves time and effort in setting up data warehouse connections and ETL processes.

Where Stitch falls short

• Limited range of integrations, which may not cover all sources users require.
• Requires more clarity in documentation and better error handling for duplicates.
• Some users might find the pricing for higher volumes or more frequent updates a bit steep.

What reviewers like about Skyvia

• Simplifies data backup and integration processes, ensuring data security and accessibility.
• Offers easy navigation and setup, with clear instructions for backups and data synchronization.
• Provides a wide range of connectors and integration options for different business scenarios.

Where Skyvia falls short

• The pricing structure may include limitations on record transfers, potentially leading to additional charges.
• Some users find the support response time could be improved for quicker issue resolution.
• Limited support for custom data periods and potential delays in processing data transfers.

What reviewers like about Rivery

• User-friendly interface, making tasks easy to execute for beginners and experts alike.
• Integration with Snowflake and other APIs, simplifying data integration processes.
• Extensive supported integrations and transformation toolkit for data management.

Where Rivery falls short

• Newcomers may find the richness of features and customization options overwhelming without adequate support.
• Limited selection in the Marketplace for additional apps and connectors, limiting advanced functionalities.

What reviewers like about Etleap

• Streamlined ETL setup
• Minimal engineering required
• User-friendly tasks

Where Etleap falls short

• Limited customization options
• May not scale well
• Basic reporting features

What reviewers like about Synatic

• All-in-one data integration
• User-friendly interface
• Supports API management

Where Synatic falls short

• May require training for full utilization
• Can be complex for simple tasks
• Pricing may vary based on usage

What reviewers like about Dexi.io

• Drag-and-drop interface
• Multiple data source connections
• Batch and online workflows

Where Dexi.io falls short

• May require technical expertise
• Limited documentation
• Performance can vary

What reviewers like about Panoply

• Consolidates data from multiple sources into a queryable warehouse without manual ETL coding.
• Customer support resolves issues quickly and builds custom connectors on request.
• Setup takes hours rather than days, removing the need for dedicated data engineering.

Where Panoply falls short

• Lacks enterprise features such as two-factor authentication and complex connectivity options.
• Dashboard and UI design could be improved for day-to-day usability.
• Struggles with very large datasets or advanced ETL job orchestration.

What reviewers like about Parabola

• User-friendly interface with easy setup and navigation, suitable for users with varying technical backgrounds.
• Affordable pricing compared to other platforms, making it accessible for small businesses.
• Quick and responsive customer support, including real-time assistance from knowledgeable staff, even senior members like the CEO.

Where Parabola falls short

• Slight learning curve for users without a background in computer science or technology, although support is available to assist with this.
• Limited number of destinations for data extraction, but ongoing updates indicate improvements in this area.
• Occasional delays in flow execution, particularly noticeable with specific steps like Google Sheets Import/Export, although the team is actively addressing such issues.