Best Data Mapping Software for Microsoft Excel

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.

Astera Centerprise is a complete on-premise data integration solution that helps extract, transform, profile, cleanse, and integrate data from disparate sources in a code-free, drag-and-drop environment. The software is designed to cater to enterprise-level data integration needs and is used by Fortune 500 companies, like Wells Fargo, Xerox, HP, and more. Through process orchestration, workflow automation, job scheduling, instant data preview, and more, enterprises can easily get accurate, consolidated data for their day-to-day decision making at the speed of business.

Atlas integrates into your workflow by organizing text and embedding datasets into interactive maps for exploration in a web browser. You shouldn’t have to scroll through Excel files, log Dataframes and page through lists to understand your data. Atlas automatically reads, organizes and summarizes your collections of documents surfacing trends and patterns. Atlas’ pre-organized data interface allows you to quickly surface pathologies and dirty data that can jeopardize your AI projects. Label and tag your data while you clean it with immediate sync to your Jupyter Notebook. Vector databases enable powerful applications such as recommendation systems but are notoriously hard to interpret. Atlas stores, visualizes and lets you search through all of your vectors in the same API.

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.

The WSO2 integration runtime engine is capable of playing multiple roles in your enterprise architecture. It can act as an ESB or a microservices integrator. When deployed as an ESB, it caters to your message routing, transformation, message mediation, service orchestration, as well as service and API hosting needs. Header-based, content-based, rule-based, and priority-based routing. Implement Enterprise Integration Patterns (EIPs), database integration, event stream integrations. Transform messages with XSLT 1.0/2.0, XPath, XQuery, and Smooks. Visual data mapping, CSV, JSON, and XML transformation connectors. Supports any RDBMS, CSV, Excel, ODS, Cassandra, and Google spreadsheets. Supports OData v4 protocol for any RDBMS and Cassandra data sources. Supports MSSQL, DB2, Oracle, OpenEdge, TerraData, MySQL, PostgreSQL/EnterpriseDB, H2, Derby or any database with a JDBC driver. Support for nested queries across data sources.

As a business leader, you need to trust your data and be 100% certain that it’s well-governed, compliant, and accurate. Including all data, in all sources, and in all locations, without limitations. Understand your data assets. Audit for risk, compliance, and quality in support of your project. Catalog a complete data inventory across all sources and data types, creating a shared understanding of your data assets. Run a one-time, fast, affordable, and accurate audit of your data. PCI, PII, and PHI audits are fast, accurate, and complete. As a service, with no software to purchase. Measure and audit data quality and data duplication across all of your enterprise data assets, cloud-native and on-premises. Comply with global data privacy regulations at scale. Discover, classify, track, trace and audit privacy compliance. Monitor PII/PCI/PHI data propagation and automate DSAR compliance processes.