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Comparing Meltano with Qlik Replicate and Weld

You’re comparing Meltano vs Qlik Replicate vs Weld. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Meltano vs Qlik Replicate

WeldMeltanoQlik Replicate
Connectors200+600+100+
Price$99 / 5M Active Rowsfree (self-hosted), custom (managed), paid support packagesSubscription/perpetual license (custom quotes; six-figure enterprise costs)
Free tier
LocationEUUSKing of Prussia, PA, USA (Qlik HQ)
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 rating4.84.94.7

Overview

Meltano in Short

Meltano is an open-source data integration platform, similar to Airbyte, that enables businesses to build and manage their own data pipelines. It offers a wide range of connectors for databases, APIs, application logs, and other data sources. Meltano also supports robust data transformation and orchestration capabilities, making it easier to customize and automate workflows. It integrates seamlessly with popular cloud data warehouses, making it a flexible choice for modern data teams looking to manage their end-to-end data stack.

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Pros

  • Open-source platform

  • A really large number of connectors through Singer

  • Offer an SDK to more easily build Singer taps and targets

  • Flexibility in Deployment

Cons

  • No fully managed options so you need to deploy yourself (in Beta though)

  • Requires high maintenance

  • Limited data transformation capabilities (only through deep integration with DBT)

  • Only has a limited number of connectors that are natively built outside of Singer

Reviews & Quotes

As a user on G2 puts it::

What I like about Meltano

All the managerial tasks are handled under the hood, leaving you to focus on getting or consuming the data you need.

What I dislike about Meltano

With so many features baked into Meltano, navigating the documentation can be challenging. However, I've gotten around this by using Bing AI search, which brings me the answer immediately.

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).

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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 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.

What I dislike about Qlik Replicate

Vendor need to work on enhancing capabilities e.g. Enabling additional ...

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.

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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

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.

Feature-by-Feature Comparison

Feature
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Meltano

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Qlik Replicate

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Weld

Ease of Use & Interface

Side-by-side

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Meltano

Meltano is simple and easy to use for those with technical expertise, particularly due to its portability and command-line usability, but may be challenging for less technical users.

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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.

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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.

Pricing & Affordability

Side-by-side

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Meltano

Meltano is open-source and free to use, making it highly affordable, but requires significant investment in deployment and maintenance, especially without a fully managed option.

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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.

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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.

Feature Set

Side-by-side

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Meltano

The platform offers extensive integration options, including support for data transformation and orchestration, but relies heavily on the Singer framework, which can limit capabilities.

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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.

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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.

Flexibility & Customization

Side-by-side

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Meltano

Meltano is highly flexible for advanced users who can manage their own deployments and build on the platform, but it requires substantial maintenance and lacks a fully managed option.

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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.

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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.

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