You’re comparing Weld vs Etlworks Integrator vs Twilio Segment. Explore how they differ on connectors, pricing, and features. 
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| Feature | Weld | Etlworks Integrator | Twilio Segment |
|---|---|---|---|
| Core Platform | |||
| Price | $79 / 5M Active Rows | Credit-based (e.g., ~$0.10 per credit; volume discounts available) | Tiered subscription (event/visitor-based), $120/month 10,000 visitors |
| Free tier | No | Yes | Yes |
| Location | DK, (EU) | Pittsburgh, PA, USA | US |
| Connectors & Sync | |||
| Connectors | 200+ | 300+ | 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 | Yes | No |
| Lineage | Yes | No | No |
| Version control | Yes | No | No |
| On-Premise | No | Yes | No |
| OpenAPI / Developer API | Yes | Yes | Yes |
| Integrations | |||
| Load to/from Excel | Yes | Yes (via file connectors) | No |
| Load to/from Google Sheets | Yes | Yes (Google Sheets) | No |
| Ratings | |||
| G2 rating | 4.8 | 4.5 | 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
300+ 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
Etlworks Integrator is a cloud-based ETL and data integration platform offering more than 300 connectors across databases, SaaS applications, files, and big-data systems. It supports batch and streaming pipelines, change data capture (CDC), SQL- or JavaScript-based transformations, and workflow orchestration. The platform can run fully in the cloud or use on-premise runtimes to securely access internal systems.
300+ connectors covering databases, cloud storage, SaaS apps, and streaming platforms.
Supports both batch and streaming (CDC) pipelines with customizable schedules and triggers.
Transformation using SQL, JavaScript, or built-in functions, including validation and error handling.
Cloud-based platform with optional on-premise agents for secure internal connectivity.
UI complexity: large flows with many steps can be difficult to navigate.
Credit-based subscription model can make cost forecasting difficult for variable workloads.
Smaller community and lower brand recognition compared to market-leading ETL tools.
Etlworks Integrator Features:
“Etlworks Integrator’s breadth of connectors and flexible transformation engine (SQL/JavaScript) let us integrate data from dozens of sources quickly.”
“The UI can be overwhelming for beginners, and pricing (credit-based) can be hard to predict for varying workloads.”
Overview
Segment (Twilio Segment) is a customer data platform focused on collecting and routing customer event data in real time. It’s commonly used to unify event streams across analytics, marketing, and CRM tools, often alongside a warehouse. Segment is best for customer event tracking and activation workflows.
Real-time data integration capabilities
Pre-built and maintained connectors for popular data sources
Advanced features for managing customer data
Easy to setup and use
Quickly becomes very expensive
Not suitable if you only need ELT ingestion
Heavily skewed toward sales and marketing platforms
Custom integration or customization can be hard
A reviewer on G2 said::
“"I like that Twilio Segment has tons of sources for data. Segment has all the sources I need and they are easy to integrate. The initial setup was also easy."”
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.
Etlworks Integrator’s Flow Designer provides a canvas for building pipelines with sources, transformations, and destinations. While flexible, complex flows can become visually dense, and new users typically face a learning curve.
Segment is easy to set up and use for real-time customer event tracking and activation workflows, but custom integrations or advanced setups 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.
Etlworks Integrator’s Flow Designer provides a canvas for building pipelines with sources, transformations, and destinations. While flexible, complex flows can become visually dense, and new users typically face a learning curve.
Segment is easy to set up and use for real-time customer event tracking and activation workflows, but custom integrations or advanced setups 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.
Pricing follows a credit-based model tied to data volume and processing. While flexible, predicting usage costs requires monitoring workload patterns. A free trial is available with limited credits.
Tiered subscription (event/visitor-based), $120/month 10,000 visitors. Pricing scales rapidly with event volume and advanced features.
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.
Pricing follows a credit-based model tied to data volume and processing. While flexible, predicting usage costs requires monitoring workload patterns. A free trial is available with limited credits.
Tiered subscription (event/visitor-based), $120/month 10,000 visitors. Pricing scales rapidly with event volume and advanced features.
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.
Supports 300+ connectors, CDC replication, batch and streaming ETL, SQL/JavaScript transformations, error handling, task scheduling, webhook triggers, and secure on-premise gateways. Offers REST API automation and flow export/import.
Real-time data integration, pre-built connectors, advanced customer data management, and activation workflows. 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.
Supports 300+ connectors, CDC replication, batch and streaming ETL, SQL/JavaScript transformations, error handling, task scheduling, webhook triggers, and secure on-premise gateways. Offers REST API automation and flow export/import.
Real-time data integration, pre-built connectors, advanced customer data management, and activation workflows. 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 embed custom JavaScript, call external services, configure on-premise runtimes, and parameterize flows. Pipelines can be exported for version control, and the open API enables integration into external orchestration or automation frameworks.
Flexible for customer-data workflows, but 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 embed custom JavaScript, call external services, configure on-premise runtimes, and parameterize flows. Pipelines can be exported for version control, and the open API enables integration into external orchestration or automation frameworks.
Flexible for customer-data workflows, but 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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