Best Data Migration Software for Cloud

iceDQ is the #1 data reliability platform offering powerful, unified capabilities for Data Testing, Data Monitoring, and Data Observability. Designed for modern data environments, iceDQ automates complex data pipelines and data migration testing to ensure accuracy, integrity, and trust in your data systems. Its AI-based observability engine continuously monitors data in real-time, quickly detecting anomalies and minimizing business risks. With robust cross-platform connectivity, iceDQ supports seamless data validation, data profiling, and data reconciliation across diverse sources — including databases, files, data lakes, SaaS applications, and cloud environments. Whether you're migrating data, ensuring ETL/ELT process quality, or monitoring live data streams, iceDQ helps enterprises deliver high-quality, reliable data at scale. From financial services to healthcare and beyond, organizations rely on iceDQ to make confident, data-driven decisions backed by trusted data pipelines.

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.

QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports

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.

Supermetrics started with a bold idea: to make marketing data simple and accessible for businesses everywhere. Today, over 200K organizations, including Nestlé, Warner Bros, and Dyson, trust Supermetrics to streamline their marketing analytics. What began as a solution to connect data has evolved into a platform that extracts and consolidates data from 150+ marketing and sales platforms—like Google Analytics, Facebook Ads, and HubSpot—into preferred destinations. This has earned Supermetrics a spot on G2’s 2024 Top 50 Best EMEA Software Companies list. Driven by a commitment to innovation, transparency, and customer success, Supermetrics empowers marketers to use data to solve problems and create opportunities. With a collaborative culture fostering creativity, Supermetrics is dedicated to helping clients succeed in a competitive market. As marketing evolves, Supermetrics will continue to innovate, delivering powerful tools and a unified approach to marketing analytics worldwide.

StarfishETL is an Integration Platform as a Service (iPaaS), and although “integration” is in the name, it’s capable of much more. An iPaaS lives in the cloud and can integrate different systems by using their APIs. This makes it adaptable beyond integration for migration, data governance, and data cleansing. Unlike traditional integration apps, StarfishETL provides low-code mapping and powerful scripting tools to manage, personalize, and manipulate data at scale. Features: - Drag and drop mapping - AI-powered connections - Purpose built integrations - Extensibility through scripting - Secure on-premises connections - Scalable data capacity

Xplenty, a scalable data integration and delivery software, allows SMBs and large enterprises to prepare and transfer data for analytics to the cloud. Xplenty features include data transformations, drag-and-drop interface, and integration with over 100 data stores and SaaS applications. Xplenty can be added by developers to their data solution stack with ease. Xplenty also allows users to schedule jobs and monitor job progress and status.

The IRI Data Manager suite bundles the tools you need for faster data manipulation and movement: 1) CoSort makes light work of big data processing "heavy lifts" in DW ETL, BI/analytics, DB loads, sort/merge offload, etc. 2) FACT dumps very large database (VLDB) tables in parallel to flat files for ETL, DB migration, reorg, and archive. 3) NextForm performs and speeds file and table conversion, remapping, DB replication, data re-formatting, and federation. 4) RowGen subsets DBs or synthesizes structurally and referentially correct test data in tables, files, and reports. These IRI products address data integration and staging (ETL/ELT), big data packaging and provisioning, BI reporting and data wrangling (preparation) and DevOps. Use them alone or in the IRI Voracity platform to: improve data quality; speed sorting and data transformation; migrate and replicate data; replace legacy sorts; and, synthesize (plus virtualize) smart RDB and file test data.

Flatfile is an AI-powered data exchange platform designed to streamline the collection, mapping, cleaning, transformation, and conversion of data for enterprises. It offers a rich library of smart APIs for file-based data import, enabling developers to integrate its capabilities seamlessly into their applications. The platform provides an intuitive, workbook-style user experience, facilitating user-friendly data management with features like search, find and replace, and sort functionalities. Flatfile ensures compliance with industry standards, being SOC 2, HIPAA, and GDPR compliant, and operates on secure cloud infrastructure for scalability and performance. By automating data transformations and validations, Flatfile reduces manual effort, accelerates data onboarding processes, and enhances data quality across various industries.

Impetus Technologies enables the Intelligent Enterprise™ with innovative data engineering, cloud, and enterprise AI services. Recognized as an AWS Advanced Consulting Partner, Elite Databricks Consulting Partner, Data & AI Solutions Microsoft Partner, and Elite Snowflake Services Partner, Impetus offers a comprehensive suite of cutting-edge IT services and solutions to drive innovation and transformation for businesses across various industries. With a proven track record with Fortune 500 clients, Impetus drives growth, enhances efficiency, and ensures a competitive edge through continuous innovation and flawless, zero-defect delivery.

At Datametica, our birds with unprecedented capabilities help eliminate business risks, cost, time, frustration, and anxiety from the entire process of data warehouse migration to the cloud. Migration of existing data warehouse, data lake, ETL, and Enterprise business intelligence to the cloud environment of your choice using Datametica automated product suite. Architecting an end-to-end migration strategy, with workload discovery, assessment, planning, and cloud optimization. Starting from discovery and assessment of your existing data warehouse to planning the migration strategy – Eagle gives clarity on what’s needed to be migrated and in what sequence, how the process can be streamlined, and what are the timelines and costs. The holistic view of the workloads and planning reduces the migration risk without impacting the business.

Cloud to cloud and on premise to cloud data cleansing, migration, integration and reconciliation. Runs on OCI and offers secure connections to your Oracle Enterprise Applications on Cloud and on premise One platform for data & setup migrations, integrations, reconciliations, big data ingestions & archival 9000+ pre-built API templates and web services Data quality engine has pre-configured business rules to profile, clean, enrich & correct data Configurable, agile, and low code/no code Fully cloud-enabled so usage can be immediate Migration platform for migrating data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft and many other enterprise application environments, from any of above systems and many legacy applications. It is a robust and scalable Data Migration platform with a user-friendly interface. More than 3000+ Smart Data Adapters are available covering various Oracle Applications.

ibi Data Migrator is a comprehensive ETL (Extract, Transform, Load) tool designed to streamline data integration across diverse platforms, from on-premises systems to cloud environments. It facilitates the automation of data warehouse and data mart creation, enabling access to source data in various formats and operating systems. The platform integrates multiple data sources into single or multiple targets, applying robust data cleansing rules and logic to ensure data quality. With specialized high-volume data warehouse loaders, users can schedule data updates at user-defined intervals, triggered by events or conditional dependencies. The system supports loading star schemas with slowly changing dimensions and offers extensive logging and transaction statistics for enhanced insight into data operations. Its graphical user interface, the data management console, allows for the design, testing, and execution of data and process flows.