You’re comparing Weld vs Equals vs Twilio Segment. Explore how they differ on connectors, pricing, and features. 
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| Feature | Weld | Equals | Twilio Segment |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | Custom (not publicly disclosed) | $120/month for 10,000 visitors |
| Free tier | No | No | Yes |
| Location | DK, (EU) | US | US |
| Connectors & Sync | |||
| Connectors | 200+ | — | 300+ |
| Extract data (ETL) | Yes | Yes | Yes |
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | Yes | No | Yes |
| Two-Way Sync | Yes | No | No |
| Transformations & AI | |||
| Transformations | Yes | Yes | No |
| AI Assistant | Yes | No | No |
| dbt Core Integration | Yes | No | Yes |
| dbt Cloud Integration | Yes | No | Yes |
| Governance & DevOps | |||
| Orchestration | Yes | No | No |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| On-Premise | No | No | No |
| OpenAPI / Developer API | Yes | No | Yes |
| Integrations | |||
| Load to/from Excel | Yes | No | No |
| Load to/from Google Sheets | Yes | No | No |
| Ratings | |||
| G2 rating | 4.8 | — | 4.6 |
Overview
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.
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
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
A reviewer on G2 said:
Overview
Equals is an all-in-one GTM analytics platform that combines data ingestion, transformation, and analysis in a unified interface. It automatically syncs data from sources such as Salesforce, HubSpot, Stripe, and SQL databases into an embedded Snowflake warehouse, and presents analysis through a spreadsheet-style BI layer tailored for revenue and pipeline metrics.
Integrated ELT with automated syncs for Salesforce, HubSpot, Stripe, SQL sources, and more.
Includes a managed Snowflake warehouse—no infrastructure setup or maintenance required.
Spreadsheet-based BI interface with live queries for analysis and reporting.
Pre-built GTM templates for pipeline, ARR, churn, and revenue metrics.
Slack/email alerting for scheduled or triggered notifications.
Primarily optimized for GTM and revenue analytics rather than broad ETL use cases.
Custom SQL is required for more advanced modeling or non-template scenarios.
Costs can increase if Snowflake consumption grows beyond base package levels.
From an Equals customer success story:
“Within a week, we had a pipeline performance dashboard up and running. Building something similar ourselves would have taken 3+ months.”
“Some advanced customization options beyond the built-in GTM templates require SQL knowledge and comfort with the underlying warehouse.”
Overview
Twilio Segment is a customer data platform (CDP) focused on collecting, unifying, and activating customer event data across products and channels. It centralizes behavioral data from web, mobile, and server sources, and uses identity resolution to build unified customer profiles. Segment is heavily oriented toward marketing, product, and analytics use cases, offering pre-built integrations and Reverse ETL capabilities to sync cleaned data back into operational tools. While powerful for customer data workflows, Segment is less suited for teams looking for a general-purpose ELT platform.
Strong real-time event tracking and data collection
Large catalog of fully managed marketing and product integrations
Identity resolution and audience management features
Reverse ETL powered by native integrations and dbt model sync
Becomes expensive quickly as usage scales
Not ideal as a standalone ELT platform
Optimized for marketing and product tools rather than general data engineering
Customization and complex integrations can require significant setup effort
A reviewer on G2 said::
“Segment connects to all the various platforms that we're using which makes it very easy to send data around. No engineering needed.”
“Pricing could be a bit more affordable, especially if you want to use ETL processes.”
Side-by-side
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.
Equals uses a spreadsheet interface familiar to analysts and operations teams, combined with direct SQL access for more technical users. GTM-focused templates accelerate dashboard creation and reduce configuration time.
Segment offers an accessible interface for collecting and routing customer data, but advanced setups—such as identity merging, custom sources, or Reverse ETL modeling—can require more technical configuration.
Side-by-side
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.
Equals uses a spreadsheet interface familiar to analysts and operations teams, combined with direct SQL access for more technical users. GTM-focused templates accelerate dashboard creation and reduce configuration time.
Segment offers an accessible interface for collecting and routing customer data, but advanced setups—such as identity merging, custom sources, or Reverse ETL modeling—can require more technical configuration.
Side-by-side
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.
Equals uses a custom-quote pricing model that includes ELT, transformations, and a managed Snowflake warehouse. Costs scale with data usage and compute consumption inside Snowflake, which may increase as data volume grows.
Segment provides a free tier, but pricing scales rapidly with event volume and advanced features. Many businesses find it expensive once usage grows or enterprise features are enabled.
Side-by-side
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.
Equals uses a custom-quote pricing model that includes ELT, transformations, and a managed Snowflake warehouse. Costs scale with data usage and compute consumption inside Snowflake, which may increase as data volume grows.
Segment provides a free tier, but pricing scales rapidly with event volume and advanced features. Many businesses find it expensive once usage grows or enterprise features are enabled.
Side-by-side
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.
Key features include automated ELT from GTM systems, a built-in Snowflake warehouse, spreadsheet-based BI, pre-defined revenue dashboards, scheduling, and alerting. Designed specifically for GTM analytics workflows.
Segment includes real-time event tracking, identity resolution, profiles, and activation capabilities. It offers extensive sources and destinations, but it is less suited for traditional ELT or broader data engineering workflows.
Side-by-side
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.
Key features include automated ELT from GTM systems, a built-in Snowflake warehouse, spreadsheet-based BI, pre-defined revenue dashboards, scheduling, and alerting. Designed specifically for GTM analytics workflows.
Segment includes real-time event tracking, identity resolution, profiles, and activation capabilities. It offers extensive sources and destinations, but it is less suited for traditional ELT or broader data engineering workflows.
Side-by-side
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.
Users can extend beyond templates using SQL for custom transformations and modeling. Advanced customization depends on SQL proficiency, but the spreadsheet layer covers most operational analytics needs.
While Segment is flexible for customer-data workflows, it is more limited outside those use cases. Custom pipelines, transformations, or complex modeling typically require external tools like dbt or a data warehouse.
Side-by-side
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.
Users can extend beyond templates using SQL for custom transformations and modeling. Advanced customization depends on SQL proficiency, but the spreadsheet layer covers most operational analytics needs.
While Segment is flexible for customer-data workflows, it is more limited outside those use cases. Custom pipelines, transformations, or complex modeling typically require external tools like dbt or a data warehouse.
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CUSTOMER STORIES
“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.”
“Before Weld, we had to rely on custom Python scripts and manual processes that were time-consuming and error-prone.”
“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.”
“We’ve always been a KPI-driven company. But we wanted to scale that mindset across every team member, every team, every decision.”
“Before Weld, our data infrastructure was limited and we relied heavily on Excel files and custom Python scripts.”
“Weld has saved us a ton of time, from not having data ready to having a fully functional data warehouse and connectors.”
“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”
“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.”
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