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ETL (Extract, Transform, Load) and data integration tools are critical for managing data lifecycle processes efficiently. Our analysis at BARC, based on direct user feedback and expert review, identifies the top tools that enhance data integration and real-time processing capabilities. Find out which tools can streamline your data integration for better insights and decision-making. Read our report on Data Warehouse and Data Vault Adoption Trends to learn about trends in data processing automation. Enhance your knowledge with a subscription to BARC+.
End-to-end platform for the design, development and provision of data products with functions for pipelining and cataloging as well as governance, data quality and marketplace functions.
Solution for data replication, transformation and standardization in real time.
Data automation tool for building and operating data lakes or data warehouses with features for data pipelining, master data management, data quality, and orchestration.
Low-/no-code data warehouse automation solution with focus on integration of distributed data sources, data vault modeling and ETL/DDL code generation.
Tool for automating the entire development, provisioning and operating cycle of a data warehouse.
Platform developed in-house for the development of data management applications with a wide range of functions and numerous applications based on the Co>Operating System platform.
Cloud-based end-to-end data platform for building analytical applications with functions for data integration, real-time analyses and data storage.
Airbyte is an open source data integration engine that helps you to replicate and consolidate your data.
Visual end-to-end platform (drag & drop) for data analysis and data science based on R with data integration, preparation and scheduling/automation functions.
Fully managed ETL (Extract, Transform, Load) service from Amazon Web Services, with complementary functions for data cleansing and preparation as well as discovering and cataloging data from various AWS services.
Tool for automating the entire development, provisioning and operating cycle of a data warehouse with focus on Microsoft technologies.
Framework with in-memory engine for distributed processing, components for real-time processing, machine learning, graph processing.
Platform for data management, maintenance and provision with functions for data analysis, data cataloging, data quality and master data management and data integration.
Tool for automating the development, provisioning and operating cycle of data warehouses, data lakes and data lakehouses.
(Cloud-native) iPaaS platform for the integration of applications, data and processes with functions for API management, data integration, data preparation, data cataloging and workflow management, among others.
Data integration platform for replication, ETL/ELT and virtualization and extensive connectors for data extraction in the cloud and on-premises.
Hybrid cloud data platform for implementing various data and analytics applications based on central functions for governance and administration.
Data transformation platform for creating and modernizing data warehouses in Snowflake.
Commercial extension of the Apache Kafka Engine with standard connectors, additional features and support towards a fully managed data streaming solution.
End-to-end platform solution for processing large amounts of data for data engineering & data science based on a further development of Apache Spark technology.
Development environment for creating SQL-based transformations with support for software development processes such as modularity, portability, CI/CD and documentation.
Data virtualization platform with functional extensions for e.g. real-time use cases, data cataloging, support for self-service analytics. With Agora also available as cloud service.
Cloud-based tool for data engineers to load cloud data warehouse systems (ingestion)
Service for the development and management of ETL/ELT pipelines in the Google Cloud Platform
Platform for data integration, preparation and analysis of data with functions for data preparation suitable for business users.
End-to-end data management solution with functions for data integration, application integration and data quality.
Cloud-based, integrated data and AI platform for integrating, managing and analyzing data for AI.
Tool for the development and management of streaming data pipelines.
Data warehouse automation tool to support the development and operation of data warehouses; also supports cloud DWH such as Snowflake.
Cloud-based platform based on central, AI-supported services for implementing operational and analytical data use cases, e.g. data integration, data quality, master data management, API management, data cataloging, governance and data marketplace
SaaS-based, visual data integration tool for data extraction, processing, orchestration and monitoring of data pipelines with a focus on cloud data platforms as the target environment.
A unified platform that enables data integration, analysis, and management for analytics in the Azure cloud by integrating various Azure data services such as Power BI, Synapse, Data Factory and Data Lake.
rDBMS for transactional and analytical workloads; additional services available for data integration, analysis, reporting, data quality and master data management
Enterprise Modeling Suite for the modeling and analysis of data, software and enterprise architectures as well as business processes by business users.
IPaaS platform for data and application integration.
Cloud platform with more than 100 services for data & analytics, including data pipelines, data warehousing, cataloging, event processing as well as analytical services for BI, analytics & data science.
Integration platform to cover different data integration requirements from real-time/near-time, ELT/ELT to the creation of SOA-based data services.
Modular platform for data integration, data quality, data observability and governance to build an integrated, trustworthy database with special services for data enrichment and analysis.
Cloud-based data and analytics platform for building a business data fabric & uniform access to SAP and non-SAP data consisting of SAP Analytics Cloud and SAP Datasphere, among others.
Cloud-based data platform for building a business data fabric that enables simple, standardized access to SAP data and integration with non-SAP data for both technical and business users.
SAS Data Engineering is a new data management offering on SAS Viya and includes functions for data integration, data quality, cataloging as well as governance for analytical applications. It replaces SAS Data Management in the cloud.
AI und Analytics platform that provides various services, including data catalogoging, data integration and -quality,, analysis and data science as well as visualization.
Low-/no-code iPaaS solution for the integration of applications and data. Key features include data integration, API management and application integration.
Tool for replication and integration of SAP data in cloud targets, e.g. Google Cloud Storage, Amazon Redshift or S3, Microsoft Azure Synapse and Snowflake.
Tool for real-time data integration and building streaming pipelines for the cloud from on-premise and/or cloud sources. Also available as SaaS service.
Platform to support data migration, data management and governance with functions for data integration, data cataloging, master data management, data quality, etc.
Platform for data and application integration with functions for data integration, streaming, data preparation, data quality, data cataloging, data intelligence and API management.
Component suite for the integration of SAP ERP/BW data in Microsoft environments (SQL Server Integration Services, Reporting Services, SharePoint, PowerPivot) as well as general DB interface and special connectors for Qlik, BOARD, Tableau, Oracle, Teradata, EXASolution.
Real-time, composable data platform containing features for data integration that unifies TIBCO solutions across on-premises, cloud, and edge environments, enabling simplified management, communications and monitoring.
Data engineering platform for the development of across-system data pipelines with functions for ingestion (based on Fivetran and Airbyte), transformation (based on dbt), orchestration and governance.
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