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Weld vs Hightouch vs Pentaho Data Integration

You’re comparing Weld vs Hightouch vs Pentaho Data Integration. Explore how they differ on connectors, pricing, and features. Ed Logo

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Weld vs Hightouch vs Pentaho Data Integration

FeatureWeldHightouchPentaho Data Integration
Core Platform
Price
$79 / 5M Active Rows
Free tier; Growth plans start around $800+/month
Community Edition: Free; Enterprise Edition: Custom pricing
Free tier
No
Yes
Yes
Location
DK, (EU)
US
US
Connectors & Sync
Connectors
200+
70+
150+
Extract data (ETL)
Yes
No
Yes
Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL)
Yes
Yes
No
Two-Way Sync
Yes
No
No
Transformations & AI
Transformations
Yes
No
Yes
AI Assistant
Yes
No
No
dbt Core Integration
Yes
Yes
No
dbt Cloud Integration
Yes
No
No
Governance & DevOps
Orchestration
Yes
Yes
Yes
Lineage
Yes
No
Yes
Version control
Yes
Yes
Yes
On-Premise
No
No
Yes
OpenAPI / Developer API
Yes
Yes
No
Integrations
Load to/from Excel
Yes
No
Yes (Excel/CSV input/output)
Load to/from Google Sheets
Yes
No
Yes (via Google Sheets plugin)
Ratings
G2 rating
4.8
4.6
4.1

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

Hightouch in Short

Hightouch is a reverse ETL platform and composable CDP designed to sync data from cloud data warehouses into operational tools such as CRMs, ad platforms, and email providers. It supports SQL-based and no-code audience creation, enabling teams to operationalize warehouse data for sales, marketing, and customer success use cases.

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Pros

  • Audience builder allows non-technical users to create and segment audiences visually

  • Supports 70+ operational destinations across CRM, ads, email, and support

  • Does not store data; reads directly from the warehouse for security

  • Supports near real-time and frequent syncs depending on destination capabilities

  • SQL queries and expressions allow granular control for technical users

  • Strong product documentation, community content, and support resources

Cons

  • Reverse ETL only—requires separate tooling for ingestion or warehouse modeling

  • Usage-based pricing (rows/fields) can increase for high-volume workloads

  • Destination API limits can affect sync frequency and throughput

  • Custom connectors depend on vendor prioritization

  • Complex audience or identity resolution still requires upstream modeling

Reviews & Quotes

Hightouch Product Description:

What I like about Hightouch

Hightouch is the easiest way to sync customer data into tools like CRMs, email platforms, and ad networks, using either SQL or a point-and-click UI without requiring engineering involvement.

Overview

Pentaho Data Integration in Short

Pentaho Data Integration (PDI), also known as Kettle, is an open-source ETL tool from Hitachi Vantara. It offers a graphical Spoon interface for building transformations and jobs, with support for more than 150 data sources including relational databases, flat files, cloud storage, and NoSQL systems. PDI includes step-based transformations, data cleansing, lookups, and joins, and can execute workloads in a clustered environment. It also integrates with the Pentaho BI platform for reporting and analytics.

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Pros

  • Open-source Community Edition with no licensing costs; Enterprise Edition adds advanced capabilities and support

  • 150+ connectors covering databases, files, cloud storage, big data technologies, and NoSQL systems

  • Graphical Spoon interface for visual ETL design, with real-time preview and debugging

  • Supports clustered execution via Carte for parallel processing and scalability

Cons

  • Community Edition lacks advanced features such as lineage, enterprise monitoring, and built-in data quality tools

  • Performance can degrade with very large datasets unless transformations are tuned

  • User interface and overall UX feel dated compared to modern cloud-native tools

Reviews & Quotes

Pentaho Data Integration Overview:

What I like about Pentaho Data Integration

PDI’s free community edition and Spoon GUI allow rapid ETL prototyping; its step library is extensive, and clustering support is solid for scale.

What I dislike about Pentaho Data Integration

Limited data quality features and slower development speed compared to modern cloud ETL. Community support can be slow for fixes.

Feature-by-Feature Comparison

Feature
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Ease of Use & Interface

Side-by-side

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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.

hightouch logo

Hightouch provides a modern interface with visual audience building for non-technical teams and SQL-based configuration for advanced users. Mapping and validation workflows are straightforward and approachable.

pentaho logo

PDI’s Spoon interface uses a canvas-based approach where users drag steps, connect them, and configure transformations. While powerful, it can feel dated and becomes cluttered for very large workflows.

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.

hightouch logo

Hightouch offers a free tier for small workloads. Paid plans scale based on usage, which can be cost-effective for targeted operational syncs but may increase for high-volume enterprise use cases.

pentaho logo

The free Community Edition is cost-effective for experimentation and small teams. Enterprise Edition is priced via custom contracts and includes lineage, monitoring, and support, making it better suited for mid-sized or large organizations.

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.

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Hightouch includes reverse ETL features such as SQL-based syncs, audience building, incremental updates, scheduling, monitoring, alerting, and support for real-time triggers depending on destination APIs. It integrates with dbt and offers API/CLI tools for GitOps workflows.

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PDI provides visual data transformation, orchestration, cleansing, joins, lookups, scripting (JavaScript and Java), logging, and clustered execution. Enterprise Edition adds lineage, enterprise monitoring, and tighter BI integration.

Flexibility & Customization

Side-by-side

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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.

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Users can define sync logic via SQL, configure mapping rules, and trigger syncs via API. Hightouch supports webhook destinations and generic connectors, offering additional flexibility while relying on the warehouse for complex transformations.

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Users can extend PDI with custom plugins, embed Java or JavaScript code, and call external scripts. Its open-source nature makes it highly customizable, though it requires Java expertise for plugin development.

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CUSTOMER STORIES

The latest success stories from data-driven companies

Jacob Poulsen, Head of Marketing Expansion at Flatpay logo

How Flatpay optimized marketing efficiency with Weld

One of the biggest impacts has been unlocking new ways to buy media. Before, we didn’t have the data to back up strategic decisions – now we do.
Jacob Poulsen, Head of Marketing Expansion at Flatpay
Rodrigo Andres Valle, Data Engineer at Holafly logo

How Holafly transformed data management and scaled globally with Weld

Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.
Rodrigo Andres Valle, Data Engineer at Holafly
Michael Howes, Head of Data & Insights at Dishoom logo

How Dishoom scaled data operations without scaling its team

We’re still a team of three, but we’re often doing far more than the equivalent of three full-time employees. That’s down to how we're able to leverage systems, data, and processes.
Michael Howes, Head of Data & Insights at Dishoom
Sven Hasenberg, CFO, VitaMoment logo

Inside VitaMoment’s Journey to KPI-Driven Growth and Data Ownership

We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.
Sven Hasenberg, CFO, VitaMoment
Temur Makhsudov, Head of BI and Operations logo

How Danish Endurance boosted profitability by 77 % and transformed data management with Weld

Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.
Temur Makhsudov, Head of BI and Operations
Matias Voldby Drejer, BI Lead logo

How Female Invest centralized data management and saved resources with Weld

Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.
Matias Voldby Drejer, BI Lead
Jonas Iversen, Tech Lead Data logo

How Soundboks streamlined data integration with Weld, S3, and Databricks

By integrating Weld, Amazon S3, and Databricks, Soundboks built a modern data pipeline that automates data ingestion, improves reporting, and provides up-to-date visibility into sales performance
Jonas Iversen, Tech Lead Data
Jens Karstoft, Chief Operating Officer at Roccamore logo

How Roccamore unlocked better business insights with Weld

We didn’t have a good data setup, so we lacked the business insights we needed. Weld has allowed us to set up a structured data infrastructure and access insights quickly.
Jens Karstoft, Chief Operating Officer at Roccamore

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