Best ETL Software

A powerful iPaaS platform for integration and business process automation. Linx is a powerful platform for building custom integrations at scale. The platform provides enterprise-grade capability and unparalleled flexibility to cater to a wide range of integration use cases for today’s growing businesses, including application integration, data synchronization, data migration, automations, and rapid API development and management. Linx is a low-code, desktop-based iPaaS that enables organizations to connect their cloud and on-premise applications, data sources.

Design, debug, run and troubleshoot data transformations and jobflows in a developer-friendly visual designer. Orchestrate data workloads that require tasks to be carried out in the right sequence, orchestrate multiple systems with the transparency of visual workflows. Deploy data workloads easily into a robust enterprise runtime environment. In cloud or on-premise. Make data available to people, applications and storage under a single unified platform. Manage your data workloads and related processes together in a single platform. No task is too complex. We’ve built CloverDX on years of experience with large enterprise projects. Developer-friendly open architecture and flexibility lets you package and hide the complexity for non-technical users. Manage the entire lifecycle of a data pipeline from design, deployment to evolution and testing. Get things done fast with the help of our in-house customer success teams.

K3 is a smart data integration software solution developed by BroadPeak, a New York-based software company. As a disruptive data plumbing solution, K3 enables businesses to transform, filter, and unify data, and send it anywhere. K3 provides users with a comprehensive library of off-the-shelf adapters to connect applications, from cloud-based to on-premise legacy data systems. Key features of K3 include an intuitive mapping UI to make data flow; a When, Then, Else rules engine to enrich fields; filtering to keep data clean, and validation logic with alerts.

Alooma enables data teams to have visibility and control. It brings data from your various data silos together into BigQuery, all in real time. Set up and flow data in minutes or customize, enrich, and transform data on the stream before it even hits the data warehouse. Never lose an event. Alooma's built in safety nets ensure easy error handling without pausing your pipeline. Any number of data sources, from low to high volume, Alooma’s infrastructure scales to your needs.

Altova MapForce is an award-winning, graphical data mapping tool for any-to-any conversion and integration. Its powerful data mapping tools convert your data instantly and provide multiple options to automate recurrent transformations. Altova MapForce offers unparalleled power and flexibility for advanced data mapping, conversion, and transformation. The MapForce Platform is available at a fraction of the cost of big-iron data management products and is unencumbered by baggage like outdated design features inherent in other legacy products. The MapForce interface facilitates data integration with a graphical interface that includes many options for managing, visualizing, manipulating, and executing individual mappings and complex mapping projects. Use the design pane to graphically define mapping components, add functions and filters for data manipulation, and drag connectors to transform between source and target formats.

Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. AI-powered data integration, anywhere. Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments. Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing. Parallel engine and automated load balancing.

Empower your business to answer the questions that matter most with self-service operational analytics and ready-to-run business reports across core processes. What if there was a way to really understand what’s going on in your organization? A way to not only report on events, but to react in real time to insights surfaced from deep within your supply chain, finance, manufacturing and distribution processes? Change the way you respond to the ever-shifting business landscape. Magnitude Angles helps you uncover insights previously locked deep in your SAP or Oracle ERP system and streamlines the data analysis process. Traditional BI tools understand rows, tables, and columns, but they have no concept of materials, orders, or cash. Angles is built on top of a context-aware, process-rich business data model that translates complex ERP data architectures into self-service business analytics, putting data closer to decision and helping turn data into insight, and insight into action.

Data arrives from every direction, growing in scale and complexity. Hidden in the data is knowledge and insight that is full of potential. Such potential is only fully realized when it permeates through to every decision and action the organization takes, second by second. As the business changes, so does the data itself, resulting in new knowledge and insight. A cycle is formed, learn and adapt. Industries as far ranging as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment have recognized the opportunity. Getting there is both challenging and exciting. Success demands new levels of speed and agility in understanding, managing, and processing vast amounts of continuously changing data. Complex organizations require a high performance data platform that is built for automation and self-service, that thrives amid change and adapts to new realities, and that can solve the toughest data processing and data management challenges.