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Weld vs 5X vs Meltano

You’re comparing Weld vs 5X vs Meltano. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs 5X vs Meltano

FeatureWeld5XMeltano
Core Platform
Price
$79 / 5M Active Rows
Free Forever tier; Starter ~ $500/month, scales with usage and connectors
Free (self-hosted), Meltano Cloud is custom pricing
Free tier
No
Yes
Yes
Location
DK, (EU)
Singapore (HQ), US, UK, India
US
Connectors & Sync
Connectors
200+
500+
600+
Extract data (ETL)
Yes
Yes
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
No
Two-Way Sync
Yes
Yes
No
Transformations & AI
Transformations
Yes
Yes
No
AI Assistant
Yes
No
No
dbt Core Integration
Yes
Yes
Yes
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
Yes
No
Version control
Yes
Yes
Yes
On-Premise
No
No
Yes
OpenAPI / Developer API
Yes
No
Yes
Integrations
Load to/from Excel
Yes
Yes
No
Load to/from Google Sheets
Yes
Yes
No
Ratings
G2 rating
4.8
4.9
4.6

Overview

Weld in Short

Weld is a unified ELT and data activation platform that combines ingestion, modeling, transformations, orchestration, lineage, and reverse ETL in a single SaaS interface. With premium in-house–built connectors, an intuitive UI, and near real-time syncs, Weld enables both technical and non-technical users to create and manage data workflows efficiently. Weld also includes an AI assistant to support SQL modeling, generate transformations, and streamline repetitive tasks. Teams can ingest data from a wide range of sources—including marketing platforms, CRMs, databases, Google Sheets, Excel, and APIs—into their cloud data warehouse and activate it back into business tools.

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Pros

  • Lineage, orchestration, and workflow features included by default

  • Handles large datasets and near real-time data sync

  • ELT and reverse ETL in one platform

  • User-friendly interface with minimal setup required

  • Flat, predictable monthly pricing model

  • 200+ in-house–built, high-quality connectors

  • AI assistant for modeling and transformations

Cons

  • Some SQL knowledge is useful for advanced modeling

  • Optimized for cloud-warehouse workflows (Snowflake, BigQuery, Redshift, etc.)

  • Feature set is streamlined for modern ELT/activation use cases

Reviews & Quotes

A reviewer on G2 said:

What I like about Weld

Weld’s graphical interface is intuitive and easy to work with, even for teams with limited SQL experience. Its flexibility across sources—from databases to Google Sheets and APIs—made onboarding smooth, and performance across larger workloads was consistently strong. Support was responsive and helpful throughout our setup and ongoing use.

Overview

5X in Short

5X is an end-to-end data platform that combines ELT connectors (500+), a managed data warehouse, dbt-powered transformations, reverse ETL, and a built-in BI/semantic layer. It provides a unified interface for ingesting data, modeling it, activating it in business tools, and building dashboards within a single platform.

5x logo

Pros

  • 500+ connectors across SaaS apps, databases, advertising platforms, and destinations.

  • Managed Snowflake or BigQuery warehouse included, plus dbt-based transformations and reverse ETL.

  • Built-in BI and semantic modeling, reducing need for a separate BI tool.

  • Professional services and implementation support included to speed onboarding.

Cons

  • Pricing scales with volume and connectors and may be high for small teams.

  • Newer platform with a smaller ecosystem and fewer third-party tutorials.

  • Highly opinionated stack—using external BI or warehouses may require adjustments.

Reviews & Quotes

5X Testimonials:

What I like about 5X

5X’s all-in-one stack reduced our tool sprawl: data ingestion, modeling, and dashboards were ready quickly, supported by strong onboarding from their team.

What I dislike about 5X

Some advanced capabilities are still maturing, and pricing can increase based on usage and connector needs.

Overview

Meltano in Short

Meltano is an open-source data integration and orchestration platform built around the Singer ecosystem. It focuses on engineering workflows, version control, and reproducible pipelines. Meltano offers extensive connector coverage through Singer taps and targets, along with strong support for dbt, Airflow, and Dagster. While it provides high flexibility for technical teams, it requires more setup and maintenance than fully managed ELT tools.

meltano logo

Pros

  • Open-source platform

  • Large connector coverage via the Singer ecosystem

  • SDK for building and maintaining Singer taps/targets

  • Strong engineering workflow support (CLI-first, version-controlled)

  • Flexible deployment options including Meltano Cloud

Cons

  • No fully polished, mature managed option (Meltano Cloud is early-stage)

  • High maintenance requirements, especially for Singer connectors

  • Connector quality varies significantly across the community

  • No built-in reverse ETL or native transformations

  • Less suitable for non-technical teams

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.

Feature-by-Feature Comparison

Feature
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5x logo
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Ease of Use & Interface

Side-by-side

weld logo

Weld’s interface is built for clarity and speed, enabling users with varying levels of technical experience to manage data pipelines and models efficiently. Its built-in lineage and orchestration tools provide transparency across workflows.

5x logo

5X provides a guided, low-code interface that walks users through connecting sources, configuring the warehouse, setting up dbt transformations, and creating dashboards. Templates help non-technical users, while developers can write custom SQL or dbt models.

meltano logo

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.

Pricing & Affordability

Side-by-side

weld logo

Weld offers a simple and predictable pricing model starting at $79 for 5 million active rows. This flat, usage-transparent structure makes budgeting straightforward for small and medium-sized teams.

5x logo

The Free Forever tier supports limited usage. Paid tiers start around $500 per month, with costs increasing based on volume and number of connectors. While not the cheapest option, the unified platform can reduce expenditure on separate tools.

meltano logo

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.

Feature Set

Side-by-side

weld logo

Weld provides ELT ingestion, SQL-based transformations, reverse ETL activation, data lineage, orchestration, and workflow management in a single platform. Its AI assistant accelerates modeling and transformation tasks.

5x logo

5X offers ingestion (500+ connectors), a managed Snowflake/BigQuery warehouse, dbt transformations, reverse ETL, built-in BI dashboards, a semantic metrics layer, lineage, orchestration, and role-based governance.

meltano logo

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

Flexibility & Customization

Side-by-side

weld logo

Users can model data using SQL enhanced by Weld’s AI assistant, automate workflows, and build custom connectors to any API. This provides strong flexibility for teams that want to tailor integrations and transformations within one platform.

5x logo

Custom dbt models, SQL, and Python UDFs offer flexibility. While the platform is opinionated, 5X supports custom connector requests and allows optional use of components like the BI layer.

meltano logo

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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