Comparing Etlworks Integrator with Qlik Replicate and Weld
Carolina Russ6 min read
What is Etlworks Integrator
Etlworks Integrator is a cloud-based ETL platform that provides over 300 connectors (databases, SaaS, files, big data) and a visual interface to build complex data flows. It can run both batch and streaming pipelines, support transformations via SQL or JavaScript, and integrate with Kafka, Snowflake, Redshift, Google BigQuery, and more. It also offers features for data replication, CDC, and workflow orchestration.
Pros
- 300+ connectors for databases, cloud storage, SaaS apps, and streaming platforms.
- Supports both batch and streaming (CDC) with configurable schedules and triggers.
- Transformations via SQL, JavaScript, or built-in functions; data validation and error-handling features.
- Cloud-based with on-prem runtime options for connecting to internal resources securely.
Cons
- UI complexity: designing flows with many steps can be difficult to navigate.
- Subscription is credit-based (e.g., $0.10/credit), making cost estimation tricky for variable workloads.
- Less brand recognition and community support compared to leading ETL tools.
Etlworks Integrator Features:
What I like about Etlworks Integrator
Etlworks Integrator’s breadth of connectors and flexible transformation engine (SQL/JavaScript) let us integrate data from dozens of sources quickly.
What I dislike about Etlworks Integrator
The UI can be overwhelming for beginners, and pricing (credit-based) can be hard to predict for varying workloads.
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.
Etlworks Integrator vs Qlik Replicate: Ease of Use and User Interface
Etlworks Integrator
Etlworks Integrator’s Flow Designer uses a canvas with source, transformation, and destination steps. While powerful and flexible, the interface has a steep learning curve; nested steps and branching can become difficult to visualize.
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.
Etlworks Integrator vs Qlik Replicate: Pricing Transparency and Affordability
Etlworks Integrator
Charges are based on credits consumed by data volume and transformations. Free trial provides limited credits. For predictable workloads, budget forecasting requires careful usage analysis.
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.
Etlworks Integrator vs Qlik Replicate: Comprehensive Feature Set
Etlworks Integrator
Features include: 300+ connectors, CDC replication, batch/streaming pipelines, SQL/JavaScript transformations, error handling, scheduling, and secure on-prem gateways. Also supports webhooks and REST API triggers.
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.
Etlworks Integrator vs Qlik Replicate: Flexibility and Customization
Etlworks Integrator
Supports embedding custom JavaScript or calling external services within pipelines. Can deploy integration nodes on-premise to access internal networks. Pipelines can be exported/imported for version control.
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 Etlworks Integrator vs Qlik Replicate vs Weld
| Weld | Etlworks Integrator | Qlik Replicate | |
|---|---|---|---|
| Connectors | 200++ | 300+ | 100+ |
| Price | €99 / Unlimited usage | Credit-based (e.g., $0.10/credit; volume discounts available) | Subscription/perpetual license (custom quotes; six-figure enterprise costs) |
| Free tier | No | Yes | No |
| Location | EU | Pittsburgh, PA, USA | King of Prussia, PA, USA (Qlik HQ) |
| Extract data (ETL) | Yes | Yes | No |
| Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | No |
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| On-Premise | No | Yes | Yes |
| Orchestration | Yes | Yes | Yes |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| Load data to and from Excel | Yes | Yes | No |
| Load data to and from Google Sheets | Yes | Yes | No |
| Two-Way Sync | Yes | No | No |
| dbt Core Integration | Yes | No | No |
| dbt Cloud Integration | Yes | No | No |
| OpenAPI / Developer API | Yes | Yes | Yes |
| G2 Rating | 4.8 | 4.5 | 4.7 |
Conclusion
You’re comparing Etlworks Integrator, Qlik Replicate, Weld. Each of these tools has its own strengths:
- Etlworks Integrator: features include: 300+ connectors, cdc replication, batch/streaming pipelines, sql/javascript transformations, error handling, scheduling, and secure on-prem gateways. also supports webhooks and rest api triggers. . charges are based on credits consumed by data volume and transformations. free trial provides limited credits. for predictable workloads, budget forecasting requires careful usage analysis. .
- 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..
