Comparing Hevo with Qlik Replicate and Weld



What is Hevo
Pros
- Supports both ELT, ELT, and reserve ELT
- Plenty of fully maintained connectors
- Great for non-technical users
- Simple UI that's easy to work with
- Affordable pricing
Cons
- Limited features for more advanced use cases
- Limited custom scheduling features
- Only 50 connectors are available on the Free plan
- Lack of flexibility when wanting to edit pipelines
- Error messages and status codes could be better
As one reviewer on G2 puts it: :
What I like about Hevo
Hevo is really good for normal pipelines, but it has some limitations for more complex use cases.
What I dislike about Hevo
What is Qlik Replicate
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
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.
Hevo vs Qlik Replicate: Ease of Use and User Interface
Hevo
Hevo is designed with non-technical users in mind, offering a simple UI and code-free capabilities, making it easy for beginners to use.
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.
Hevo vs Qlik Replicate: Pricing Transparency and Affordability
Hevo
Hevo offers affordable pricing and a free plan with limited connectors, making it accessible for startups and small businesses. However, the costs can rise with data volume and feature needs.
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.
Hevo vs Qlik Replicate: Comprehensive Feature Set
Hevo
Hevo supports ETL, ELT, and reverse-ETL, making it versatile for different data needs. It also has plenty of fully maintained connectors, although it may lack some advanced features required by seasoned data professionals.
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.
Hevo vs Qlik Replicate: Flexibility and Customization
Hevo
While Hevo is great for non-technical users, it lacks flexibility and customization options for more complex data tasks, making it less suitable for advanced data teams.
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 Hevo vs Qlik Replicate vs Weld
Weld | Hevo | Qlik Replicate | |
---|---|---|---|
Connectors | 200++ | 150+ | 100+ |
Price | $99 / Unlimited usage | $299 / 5M rows | Subscription/perpetual license (custom quotes; six-figure enterprise costs) |
Free tier | No | Yes | No |
Location | EU | INDIA | 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 | No | 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 | No | No |
dbt Core Integration | Yes | Yes | 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 Hevo, Qlik Replicate, Weld. Each of these tools has its own strengths:
- Hevo: hevo supports etl, elt, and reverse-etl, making it versatile for different data needs. it also has plenty of fully maintained connectors, although it may lack some advanced features required by seasoned data professionals.. hevo offers affordable pricing and a free plan with limited connectors, making it accessible for startups and small businesses. however, the costs can rise with data volume and feature needs..
- 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..