Comparing Integrate.io with Qlik Replicate and Weld
Carolina Russ6 min read
What is Integrate.io
Integrate.io (formerly Xplenty) is a unified low-code/no-code data integration platform offering ETL, ELT, and reverse ETL in one solution. It provides a drag-and-drop UI for designing pipelines, supports on-prem agents for hybrid environments, and covers over 100 pre-built connectors for operational and analytical data flows.
Pros
- 100+ pre-built connectors covering both operational (reverse ETL) and analytical use cases
- Low-code visual pipeline builder with rich transformation expressions
- Supports hybrid deployments via secure agent for on-prem sources
- Unified platform for ETL, ELT, and reverse ETL
- Robust workflow orchestration and scheduling features
Cons
- Cloud-only SaaS (no fully on-prem option)
- UI can feel complex initially due to breadth of features
- Less polished transformation debugging compared to dedicated tools like Matillion
- Pricing can be high for small teams; custom quotes required
- Documentation sometimes lagging on newer features
Integrate.io Documentation:
What I like about Integrate.io
Integrate.io features 100+ pre-built connectors for the most popular sources and destinations. The platform allows users without coding skills to develop automated transformations, while also offering a native scripting language for nuanced operations.
What I dislike about Integrate.io
What is Qlik Replicate
Qlik Replicate (formerly Attunity) is a change data capture (CDC) and replication platform that moves data in real-time from databases, mainframes, and cloud sources into data warehouses, data lakes, and analytics platforms. It provides a graphical UI to configure replication tasks, automated schema change handling, and supports a wide range of sources (Oracle, SQL Server, DB2, MongoDB) and targets (Snowflake, Redshift, BigQuery, Kafka).
Pros
- High-performance CDC with minimal source impact; supports heterogeneous sources and targets.
- Automated schema change handling—table/column additions in source auto-reflected in target.
- GUI-based configuration for tasks, monitoring dashboards, and robust error handling.
- Cloud-native or on-prem installations; integrates with Qlik’s broader ecosystem (e.g., Qlik Sense).
Cons
- No built-in ELT/transformations—only replication. Users need a separate tool for data transformations.
- Enterprise pricing (per-core licensing) can be high, particularly for large-scale replication across many tables.
- Learning curve for setting up advanced replication scenarios (e.g., multi-target replication, filters).
Qlik Replicate Documentation:
What I like about Qlik Replicate
Replicate’s CDC capabilities ensure minimal latency and zero-impact on source databases. Schema changes in the source are automatically captured and propagated to targets.
What I dislike about Qlik Replicate
Licensing is expensive, and it’s focused solely on replication (no transformations). For broader ETL, additional tools are needed.
What is Weld
Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.
Pros
- Premium quality connectors and reliability
- User-friendly and easy to set up
- AI assistant
- Very competitive and easy-to-understand pricing model
- Reverse ETL option
- Lineage, orchestration, and workflow features
- Advanced transformation and SQL modeling capabilities
- Ability to handle large datasets and near real-time data sync
- Combines data from a wide range of sources for a single source of truth
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
A reviewer on G2 said:
What I like about Weld
First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.
What I dislike about Weld
Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.
Integrate.io vs Qlik Replicate: Ease of Use and User Interface
Integrate.io
Integrate.io offers a drag-and-drop canvas for building pipelines, which is intuitive for new users but requires some ramp-up to master its full capabilities.
Qlik Replicate
The Qlik Replicate UI provides wizards to create replication tasks quickly, monitors latency and throughput, and auto-detects schema changes. Setup for common CDC tasks is straightforward, but advanced filtering and tuning require expertise.
Integrate.io vs Qlik Replicate: Pricing Transparency and Affordability
Integrate.io
Pricing is customized and generally pitched as more affordable than enterprise competitors, but small businesses may find entry costs high without a free tier.
Qlik Replicate
The licensing model is per-engine/core, often starting at $50k+/year for smaller environments. While expensive, the high reliability and low-latency replication justify cost for mission-critical use cases.
Integrate.io vs Qlik Replicate: Comprehensive Feature Set
Integrate.io
A breadth of features: ETL/ELT connectors, reverse ETL for operational syncs, built-in transformation expressions, API generation, and workflow automation. It also provides data governance tools like environment promotion.
Qlik Replicate
Features: CDC-based replication, automated schema drift handling, support for 100+ sources/targets (databases, mainframes, cloud), multi-target replication, and basic transformations (e.g., data type conversions). No deep transformation engine.
Integrate.io vs Qlik Replicate: Flexibility and Customization
Integrate.io
Integrate.io allows custom scripting (JavaScript or SQL) within pipelines and secure agent deployment for on-prem sources. Its API and SDK enable integration into CI/CD, but ultimate customization is bounded by the platform’s framework.
Qlik Replicate
Users can configure advanced mapping rules, filters, and transformations (limited) via the UI or JSON configs. For deeper transforms, integrate with Qlik Compose or third-party ETL. Qlik Replicate can be automated via CLI and REST API.
Summary of Integrate.io vs Qlik Replicate vs Weld
| Weld | Integrate.io | Qlik Replicate | |
|---|---|---|---|
| Connectors | 200++ | 100+ | 100+ |
| Price | $99 / Unlimited usage | Custom, based on connectors & volume | Subscription/perpetual license (custom quotes; six-figure enterprise costs) |
| Free tier | No | No | No |
| Location | EU | US | King of Prussia, PA, USA (Qlik HQ) |
| Extract data (ETL) | Yes | Yes | No |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | Yes | No |
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| On-Premise | No | No | Yes |
| Orchestration | Yes | Yes | Yes |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| Load data to and from Excel | Yes | No | No |
| Load data to and from Google Sheets | Yes | No | No |
| Two-Way Sync | Yes | Yes | No |
| dbt Core Integration | Yes | No | No |
| dbt Cloud Integration | Yes | No | No |
| OpenAPI / Developer API | Yes | Yes | Yes |
| G2 Rating | 4.8 | 4.3 | 4.7 |
Conclusion
You’re comparing Integrate.io, Qlik Replicate, Weld. Each of these tools has its own strengths:
- Integrate.io: a breadth of features: etl/elt connectors, reverse etl for operational syncs, built-in transformation expressions, api generation, and workflow automation. it also provides data governance tools like environment promotion.. pricing is customized and generally pitched as more affordable than enterprise competitors, but small businesses may find entry costs high without a free tier..
- Qlik Replicate: features: cdc-based replication, automated schema drift handling, support for 100+ sources/targets (databases, mainframes, cloud), multi-target replication, and basic transformations (e.g., data type conversions). no deep transformation engine. . the licensing model is per-engine/core, often starting at $50k+/year for smaller environments. while expensive, the high reliability and low-latency replication justify cost for mission-critical use cases. .
- Weld: weld integrates elt, data transformations, and reverse etl all within one platform. it also provides advanced features such as data lineage, orchestration, workflow management, and an ai assistant, which helps in automating repetitive tasks and optimizing workflows.. weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..
