What I like about Qlik Replicate
“Meets data replication needs. Ability to 'read once write many' i.e. fork out data to multiple targets is a major plus.”
Comparing Qlik Replicate with Rows.com and Weld
You’re comparing Qlik Replicate vs Rows.com vs Weld. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
Weld vs Qlik Replicate vs Rows.com
| Weld | Qlik Replicate | Rows.com | |
|---|---|---|---|
| Connectors | 200+ | 100+ | — |
| Price | $99 / 5M Active Rows | Subscription/perpetual license (custom quotes; six-figure enterprise costs) | Free / starts at $39/user/mo for Pro |
| Free tier | |||
| Location | EU | King of Prussia, PA, USA (Qlik HQ) | US |
| Extract data (ETL) | |||
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | |||
| Transformations | |||
| AI Assistant | |||
| On-Premise | |||
| Orchestration | |||
| Lineage | |||
| Version control | |||
| Load to/from Excel | |||
| Load to/from Google Sheets | |||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | 4.7 | — |
Overview
Qlik Replicate in Short
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).
Reviews & Quotes
Gartner Peer Review:
What I dislike about Qlik Replicate
“Vendor need to work on enhancing capabilities e.g. Enabling additional ...”
Overview
Rows.com in Short
Rows.com is a next-generation spreadsheet platform that natively integrates with hundreds of SaaS APIs, databases, and BI tools. It automates data imports (ELT) directly into your spreadsheet, lets you build dashboards and reports, and supports scripting and automation—all inside a familiar spreadsheet interface.
Pros
Native connectors to 500+ SaaS tools (partnerships with major APIs)
Automates ELT directly into the spreadsheet—no separate pipeline to maintain
Built-in charting, collaboration, and dashboard capabilities
Supports JavaScript and Python formulas for advanced automation
Free plan available with core features
Cons
Heavy API-dependent sheets can lag when importing large datasets
Some enterprise connectors and advanced automations require paid plans
Not designed for full data-warehouse scale—best for mid-size data tables
Reviews & Quotes
Rows.com review on G2:
What I like about Rows.com
“Creating tables from Excel or Google Sheets imports is incredible. Creating charts and visuals in just a few clicks and navigating your workspace is PERFECT.”
What I dislike about Rows.com
“The basic dashboard is not very clear. Need to understand the features and divide screens to jump between spaces.”
Overview
Weld in Short
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
Lineage, orchestration, and workflow features
Ability to handle large datasets and near real-time data sync
ETL + reverse ETL in one
User-friendly and easy to set up
Flat monthly pricing model
200+ connectors (Shopify, HubSpot, etc.)
AI assistant
Cons
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
Reviews & Quotes
A reviewer on G2 said:
What I like about Weld
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.”
Feature-by-Feature Comparison
Feature
Qlik Replicate
Rows.com
Weld
Feature
Qlik Replicate
Rows.com
Weld
Ease of Use & Interface
Side-by-side
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.
Rows.com
Rows.com feels like a modern spreadsheet but with built-in API connectors. Non-technical users can browse pre-built integrations, while power users can script custom workflows in JavaScript or Python.
Weld
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Ease of Use & Interface
Side-by-side
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.
Rows.com feels like a modern spreadsheet but with built-in API connectors. Non-technical users can browse pre-built integrations, while power users can script custom workflows in JavaScript or Python.
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Pricing & Affordability
Side-by-side
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.
Rows.com
A free tier covers most basic import needs. Paid plans start at $39/user/month for Pro, which unlocks advanced integrations, higher API quotas, and dedicated support. Enterprise pricing is custom.
Weld
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Pricing & Affordability
Side-by-side
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.
A free tier covers most basic import needs. Paid plans start at $39/user/month for Pro, which unlocks advanced integrations, higher API quotas, and dedicated support. Enterprise pricing is custom.
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Feature Set
Side-by-side
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.
Rows.com
Rows.com offers ELT connectors, in-sheet data transformations (via formulas or scripts), scheduling/automation, native charting and dashboards, real-time collaboration, and Jira/Slack notifications. It bridges spreadsheet flexibility with ETL and BI tooling.
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.
Feature Set
Side-by-side
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.
Rows.com offers ELT connectors, in-sheet data transformations (via formulas or scripts), scheduling/automation, native charting and dashboards, real-time collaboration, and Jira/Slack notifications. It bridges spreadsheet flexibility with ETL and BI tooling.
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.
Flexibility & Customization
Side-by-side
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.
Rows.com
Users can write custom JavaScript/Python functions directly in cells, chain API calls across sheets, and build automated workflows (e.g., “every morning, pull this data and send a Slack alert”). It’s highly customizable for spreadsheet-centric data work.
Weld
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
Flexibility & Customization
Side-by-side
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.
Users can write custom JavaScript/Python functions directly in cells, chain API calls across sheets, and build automated workflows (e.g., “every morning, pull this data and send a Slack alert”). It’s highly customizable for spreadsheet-centric data work.
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
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