Informatica Intelligent Cloud Services is a cloud-native data integration platform that provides enterprise-grade ETL capabilities to ingest, transform, and load data across hybrid and multi-cloud environments.
Databricks provides a unified data analytics platform powered by Apache Spark that simplifies data engineering and ETL pipelines, enabling organizations to process, transform, and clean massive datasets efficiently.
Confluent offers a data streaming platform based on Apache Kafka that facilitates real-time ETL by connecting, processing, and governing data in motion across hybrid and multicloud environments.
Nexla is a unified data operations platform that automates data integration pipelines, enabling organizations to easily extract, transform, and deliver data from any source to any destination.
StreamSets provides a modern data integration platform that enables enterprises to build, deploy, and monitor continuous data pipelines for ETL and ELT across hybrid and multi-cloud architectures.
Dataiku is a collaborative data platform that orchestrates end-to-end data pipelines, allowing users to extract, transform, and load data using visual recipes or code for advanced analytics and machine learning.
Talend Data Fabric is a unified data integration platform that combines ETL capabilities with data quality and governance to transform and share data across cloud and on-premise environments.
Ataccama ONE is a unified data management platform that integrates data quality, master data management, and data integration capabilities to automate the extraction, transformation, and loading of trusted data.
Ab Initio provides a high-performance data processing platform that enables complex ETL workflows, data integration, and quality management for large-scale enterprise environments.
SnapLogic is an intelligent integration platform that simplifies ETL and ELT processes by connecting data, applications, and APIs through a visual, low-code interface. It enables enterprises to automate data pipelines and streamline the flow of information into data warehouses and lakes for analytics.
Striim is a unified data integration and streaming platform that enables real-time, continuous ETL pipelines and Change Data Capture (CDC) to move data to cloud warehouses and databases.
IBM InfoSphere DataStage is a powerful data integration tool that enables organizations to design, develop, and run scalable ETL jobs to move and transform data across on-premises and cloud environments.
Workato is an enterprise automation platform that enables businesses to integrate applications and automate workflows using a low-code approach. It facilitates seamless data extraction, transformation, and loading across diverse systems to streamline data integration pipelines.
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. It automates the ETL process to categorize, clean, enrich, and move data reliably between various data stores.
Domo is a cloud-native data platform that combines data integration, BI, and analytics, offering robust ETL capabilities to connect, transform, and visualize data from thousands of sources.
Software AG webMethods is a hybrid integration platform that enables the seamless extraction, transformation, and loading of data across on-premises and cloud systems. It provides enterprise-grade tools for connecting disparate applications and automating data workflows to ensure operational efficiency.
Azure Data Factory is a fully managed, serverless data integration service that orchestrates and automates data movement and transformation at scale. It enables organizations to build complex hybrid ETL and ELT pipelines to ingest data from disparate sources and prepare it for analytics.
Denodo is a data virtualization platform that enables real-time data integration and delivery across disparate sources without the need for physical data replication.
TIBCO Cloud Integration is an enterprise integration platform as a service (iPaaS) that connects applications, data, and devices across hybrid environments. It streamlines ETL processes by enabling seamless data extraction, transformation, and loading to ensure consistent data availability for analytics and operations.
Google Cloud Data Fusion is a fully managed, cloud-native data integration service that enables users to visually build and manage ETL/ELT pipelines. It simplifies data ingestion and transformation with a code-free interface and a vast library of pre-configured connectors.