Data Engineering & ETL/ELT Pipelines

Data Engineering & ETL/ELT Pipelines brand directory

Indexable brand reports with measured AI-search visibility, source evidence, and approved brand context where available.

I

Integrate.io

Rank #1 · 43.2% visibility

Integrate.io is an all-in-one, low-code data pipeline platform built for operational teams and analysts. Its four core products—Transform & Sync (ETL/Reverse ETL), Database Replication (ELT/CDC), Salesforce Sync, and File Prep & Delivery—are delivered under a fixed-fee, unlimited-usage model. The platform differentiates through 220+ no-code transformations, sub-60-second CDC on every plan, deep bidirectional Salesforce and CRM connectors, and a white-glove service model with dedicated Solution Engineers and 24/7 support.

F

Fivetran

Rank #2 · 32.8% visibility

Fivetran is a fully managed ELT (Extract, Load, Transform) data movement platform that automates the extraction and loading of data from 700+ pre-built connectors into cloud data warehouses and data lakes. It self-heals pipelines, auto-adapts to source schema changes, and supports SQL-based transformations, reverse ETL activations, and open-format data lake management—enabling data teams to centralize and govern data for analytics, operations, and AI with minimal engineering overhead.

A

Airbyte

Rank #3 · 27.2% visibility

Airbyte is an open-core ELT data integration platform that enables data teams to build, manage, and scale data pipelines from 600+ sources to any major data warehouse, lake, or lakehouse. It supports batch replication, change data capture, reverse ETL (data activation), and in 2025 launched an Agent Engine to power AI agent workflows. Available as self-hosted open source or managed cloud, Airbyte is architected for data sovereignty, extensibility, and integration with the modern data stack (dbt, Airflow, Dagster, Terraform).

H

Hevo Data

Rank #4 · 22.4% visibility

Hevo Data is a fully managed, no-code ELT data pipeline platform that automates data movement from 150+ sources into cloud data warehouses. It combines extraction, loading, built-in transformation, CDC replication, and dbt integration in a single platform with real-time observability, automatic schema drift handling, and enterprise-grade security — enabling data teams to build and maintain production pipelines without writing infrastructure code.

D

Dagster Labs

Rank #5 · 21.6% visibility

Dagster is a Python-native, open-source data orchestration platform built around a Software-Defined Asset model, enabling data engineers to declaratively define, schedule, monitor, and observe data pipelines as versioned data assets with integrated lineage and quality checks. The commercial Dagster+ offering adds a managed data catalog, observability dashboards, CI/CD branch deployments, cost insights for Snowflake and BigQuery, and Compass—an AI data analyst that surfaces warehouse insights directly in Slack.

D

dbt Labs

Rank #6 · 20.0% visibility

dbt (data build tool) is an open-source and commercial analytics engineering platform that enables data teams to define, test, document, and deploy SQL-based data transformations inside cloud data warehouses. Its commercial product, dbt Cloud, adds managed scheduling, a browser-based IDE, column-level lineage, a semantic layer for consistent metric definitions, AI-assisted development (dbt Copilot), multi-project governance (dbt Mesh), and the next-generation Fusion engine for stateful, incremental-by-default orchestration.

M

Matillion

Rank #7 · 18.4% visibility

Matillion's Data Productivity Cloud is an all-in-one, cloud-native ELT and data integration platform that enables data teams to connect, transform, orchestrate, and operationalize data pipelines at scale. It supports a spectrum of users — from no-code analysts using the visual drag-and-drop designer to senior engineers writing SQL, Python, or dbt — and introduces Maia, an agentic AI system that autonomously designs, builds, tests, and maintains pipelines through natural-language instructions. The platform is purpose-built for cloud data warehouses (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse) with a pushdown architecture that keeps data within the customer's cloud environment. Additional capabilities include reverse ETL, Change Data Capture, centralized pipeline monitoring, native Git CI/CD integration, RBAC, SSO, and an extensive pre-built connector library.

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Astronomer

Rank #9 · 8.8% visibility

Astro by Astronomer is a fully managed DataOps platform built on Apache Airflow that abstracts away infrastructure complexity, enabling data engineers to write DAGs and deploy pipelines with enterprise-grade observability, CI/CD integration, and AI-assisted operations. It includes Astro Private Cloud for regulated environments, the Cosmos dbt integration, an Airflow MCP server for agentic workflows, and a proprietary Astro Executor for reliability and concurrency.

R

Rivery

Rank #8 · 8.8% visibility

Rivery (now Boomi Data Integration) is a fully managed, cloud-native SaaS ELT platform that unifies data ingestion, SQL/Python transformation, workflow orchestration, CDC replication, and reverse ETL in a single no-code/low-code interface. Designed for data engineers, analysts, and data leaders, it eliminates infrastructure management while offering deep customizability through its Logic Rivers orchestration model, 200+ managed connectors, pre-built Starter Kits, and a GenAI-powered Data Connector Agent.

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Meltano

Rank #10 · 5.6% visibility

Meltano is a declarative, open-source ELT platform built around Singer connectors, native dbt transformation, and GitOps-style pipeline management, designed to give data engineering teams full code-first control over their data movement and transformation workflows.

H

Hightouch

Rank #11 · 3.2% visibility

Hightouch is a warehouse-native data activation and composable CDP platform. Its core Reverse ETL engine connects cloud data warehouses to 300+ downstream destinations, syncing customer attributes, audiences, and events without storing data outside the customer's environment. The platform's product suite includes Customer Studio (no-code audience builder and journey orchestration), AI Decisioning (reinforcement learning agents for 1:1 campaign optimization), Identity Resolution (AI-powered cross-device and cross-channel profile stitching), Real-time Personalization (sub-second API for web/app experiences), Match Booster (ad match rate enhancement), Hightouch Events (behavioral data collection), Intelligence (campaign analytics), Ad Studio (AI-generated on-brand creatives), and Content Assembly. The overarching Agentic Marketing Platform layer uses AI agents to automate end-to-end lifecycle and performance marketing workflows.

C

Census

Rank #12 · 0.8% visibility

Census is a Reverse ETL and Data Activation platform that syncs modeled, governance-ready data from cloud data warehouses to 200+ business applications. Its core product enables data teams to define SQL-based segments and syncs that push enriched data into the CRMs, marketing platforms, and operational tools that sales, marketing, and customer success teams use daily—eliminating the need for custom scripts or one-off API integrations. The platform includes an Audience Hub for no-code segment building, native dbt integration, Census Embedded for SaaS platforms, and observability tooling for monitoring and debugging syncs. Acquired by Fivetran in May 2025, Census is now positioned as Fivetran Activations.