10 Data Migration Platforms to Consider in 2025

By 2025, global data creation is expected to surpass 180 zettabytes, up nearly 150% from just a few years ago. That exponential growth points to two unavoidable realities:

Infrastructure is shifting—fast: Cloud adoption, app modernization, and hybrid data ecosystems are the new norm. Organizations can’t afford to let legacy systems or fragmented storage slow them down.

Data agility is now business-critical: It’s not just about storing more data—it’s about moving it, syncing it, and making it useful across every function, team, and decision.

But with all that momentum comes a massive challenge: data migration complexity. Whether it’s cloud-to-cloud movement, lifting on-prem systems into modern environments, or syncing new applications with legacy sources, the process is often slow, fragile, and resource-intensive.

Here’s the problem in a nutshell:

• Your data lives across dozens of systems on-prem, SaaS, and cloud-native.
• Migration projects are time-consuming, error-prone, and often underfunded.
• Teams waste hours resolving schema mismatches, fixing broken pipelines, or waiting on IT.

And it’s not just anecdotal: Studies show that up to 83% of data migration projects fail or exceed budget/scope, and 62% of organizations say siloed data impairs digital transformation.

Enter modern data migration platforms: These tools automate the end-to-end process of moving data—securely, scalably, and often in real time. They help businesses minimize downtime, preserve data integrity, and quickly turn newly migrated data into operational value.

This article breaks down what a data migration platform is, what benefits they offer, and what to look for when choosing one. Then we’ll spotlight ten powerful platforms to consider in 2025, including Domo, Airbyte, Fivetran, Informatica, and more.

Let’s get started.

What is a data migration platform?

A data migration platform helps move data between different systems, storage formats, or cloud environments. This could include:

• Moving on-premise data to the cloud
• Transferring databases between cloud providers
• Upgrading legacy systems
• Consolidating disparate data sources into a unified environment

These platforms often handle the entire migration lifecycle, from extracting data from source systems, transforming it to fit target formats, and loading it into the new environment (commonly known as ETL or ELT).

Benefits of using a data migration platform

If you're not a data engineer, the idea of "data migration" might sound highly technical and easy to ignore. But in practice, it's something that affects your work more than you might realize.

Here’s why a data migration platform matters and how it can make a real difference in your day-to-day:

1. You get faster access to the data you need

Without a migration tool, getting data from one system to another—say, from your CRM into a dashboard—can take weeks. Someone in IT has to manually export files, write scripts, clean the data, and ensure everything matches up.

With a data migration platform, that entire process is automated. You get quicker access to reports, updated customer lists, or campaign results without waiting in a queue for technical support. It’s like cutting out the middleman between your questions and your insights.

Example: Instead of waiting three days for a CSV export from your ERP system, the data syncs automatically every hour and is available in your dashboard—ready to act on.

2. You avoid copy-paste chaos and errors

Manual data movement often involves spreadsheets, shared drives, and a lot of copying and pasting. That might work for small projects, but it doesn’t scale—and it’s risky. One missing column or mismatched format can break entire workflows.

Migration platforms reduce that risk by standardizing how data is transferred and ensuring everything lands where it should. You don’t have to be a data expert to trust that the numbers you’re looking at are accurate.

Bonus: Some platforms include automatic error-checking or alerts when something breaks, so you catch issues before they derail your work.

3. Your tools and teams stay in sync

If your marketing platform, finance system, and customer support tool are all running on separate datasets, you’re making decisions based on incomplete or outdated information.

Data migration platforms help unify these sources by syncing data across systems. That means your dashboards show up-to-date revenue numbers, marketing sees real-time product usage, and support can prioritize based on accurate customer history.

For cross-functional teams, this eliminates back-and-forth emails and version mismatches. Everyone is working from the same playbook.

4. You can adapt faster when things change

Launching a new product? Switching to a new CRM? Scaling up operations?

Every business change usually comes with data changes—new systems, new data formats, new reports. A good migration platform makes it easier to adapt without breaking workflows or losing visibility.

You don’t have to rebuild every report or retrain every team. The platform handles the data plumbing behind the scenes, so you can focus on execution.

5. You build a foundation for better decision-making

Ultimately, a migration platform isn’t just about “moving data.” It’s about making sure the right people have the right data at the right time.

Whether you're optimizing a marketing campaign, evaluating supplier performance, or forecasting revenue, a solid data foundation helps you trust the numbers and move with confidence.

What to look for in a data migration platform

Not all data migration platforms work the same way. Choosing the right one depends on your needs, your team, and your systems. If you're not deep in IT or data engineering, here’s how to think about it:

1. Pre-built connectors save you hours of setup

A connector is just a pre-made bridge between two systems, like connecting your sales tool (e.g., Salesforce) to your reporting platform (e.g., Domo, Power BI, or Excel).

Look for a platform with a wide variety of ready-to-use connectors so you don’t need to build anything custom. If your platform already talks to your CRM, ERP, spreadsheets, or databases out of the box, you can skip long dev cycles and go straight to insights.

What this looks like in practice: You plug in your credentials, choose what data you want, and it starts syncing—no code, no ticket requests.

2. Support for real-time and scheduled syncs

Some data only needs to be updated once a day (like HR data or expense reports). Other data—like web traffic or inventory—may need to be refreshed constantly.

Look for tools that give you flexibility: schedule data refreshes as often as needed, or stream changes in real time for faster decisions.

If you're in marketing, this means campaign dashboards that reflect real-time performance, not last week’s numbers.

If you're in operations, it means fewer surprises when orders, stock, or customer requests spike.

3. Built-in transformation tools keep things clean and usable

Raw data is rarely ready to use. Maybe one tool uses “first name” and another uses “fname.” Or maybe your sales regions don’t match across departments.

A good migration platform lets you clean, rename, and reshape your data on the fly without needing separate tools or advanced coding. This helps you standardize data as it's being moved, so your reports and dashboards stay consistent.

Why it matters: You don’t want to spend your Monday mornings fixing Excel formulas just to get a clean report.

4. Clear monitoring, logs, and alerts

Things can break—connections time out, source systems change, or fields go missing. If your platform has no way of telling you what went wrong, you’re stuck troubleshooting blind.

Look for platforms with visual dashboards, error alerts, and activity logs that tell you when something breaks and why. Bonus points if non-technical users can fix simple issues themselves.

For analysts and team leads, this means less time diagnosing pipeline issues and more time focusing on insights.

5. Security, privacy, and compliance controls

Even if you're not handling sensitive health or financial data, you still want a platform that protects your information.

Check for basic data protections: encryption, access controls, role-based permissions, and (if needed) GDPR/CCPA compliance. For businesses in regulated industries, this should be non-negotiable.

For cross-functional teams, it ensures the right people see the right data and nothing more.

6. Scalability that grows with your business

You might start by migrating one or two systems. But over time, you’ll want to connect more tools, more teams, and more data.

Choose a platform that can scale with your needs, whether you're adding new data sources, increasing volume, or expanding into new markets. The best tools don’t just solve today’s problem—they grow with your business.

You shouldn’t have to switch platforms six months from now just because your team got bigger.

Final tip: start with what you actually need

It’s easy to get overwhelmed by technical features. Start by thinking about your biggest pain point. Is it waiting on reports, inconsistent numbers, or time-consuming manual exports?

Once you’re clear on that, you can zero in on the migration platform that solves the problem directly, without overengineering your solution.

10 best data migration platforms in 2025

Whether you're in marketing, finance, operations, or a general business role, these tools can help you move and connect data more efficiently—so you can focus less on spreadsheets and more on strategy. Here’s a breakdown of 10 standout platforms and how they can support your day-to-day work.

1. Domo

Domo isn’t just a data migration tool—it’s a full data experience platform that connects, transforms, and activates data across your business.

For non-technical users, Domo is especially powerful because it makes complex data pipelines visual and accessible. You can move data from hundreds of tools (like Salesforce, Shopify, Google Ads, QuickBooks) into one place, clean it, and see real-time results in interactive dashboards or reports—no code needed.

What this means for you: You get reliable, up-to-date data from every department, all in one place. Marketing can see campaign ROI next to sales performance. Finance can monitor real-time expenses and forecasts. Operations can spot bottlenecks before they grow.

2. Airbyte

Airbyte is an open-source data integration tool that gives teams a lot of control over their pipelines. It supports over 350 connectors and is known for its customizability.

While it may require some technical help to get started, Airbyte Cloud now offers a more user-friendly interface for automating syncs between tools.

Why it matters: If your company has unique or niche tools that don’t “talk to each other,” Airbyte gives your team the flexibility to build custom connections. Once set up, your data flows automatically into analytics tools or databases without repeated exports.

3. Fivetran

Fivetran focuses on fully automated, “set it and forget it” data pipelines. It’s popular among analytics teams because it handles schema changes (when your data structure changes) and keeps everything synced with minimal effort.

For business users, this means data is always up to date, accurate, and available in your dashboards, without requiring daily refreshes or IT intervention.

Real-world impact: Sales managers don’t need to ask analysts for a new report every week. Finance doesn’t wait on monthly exports. You just open your dashboard, and the numbers are ready.

4. Informatica PowerCenter

Informatica is a heavyweight in the enterprise data world. PowerCenter is ideal for companies with complex legacy systems, strict compliance needs, or high-volume migrations.

While it’s more technical than some others on this list, its strength lies in data governance, quality, and scalability, which benefit everyone downstream.

Why you’d care: If your company is in healthcare, finance, or another regulated industry, Informatica ensures your data is clean, secure, and traceable. That means fewer mistakes in reporting, audits, or compliance reviews.

5. Talend Data Integration

Talend blends open-source flexibility with enterprise-level features. It offers visual data mapping tools and built-in quality checks to clean and standardize data during migration.

It’s especially useful for companies that want to move data and enforce standards (like formats, naming conventions, or validations) at the same time.

Use case: Instead of fixing broken Excel files or inconsistent customer names later, Talend helps you clean it once—during migration—so everyone from marketing to support is using the same definitions.

6. Qlik Replicate (formerly Attunity)

Qlik Replicate is designed for real-time data replication. It keeps data synced across cloud platforms, databases, and apps often used in large organizations that need always-on updates.

For business teams, this means less lag between when something happens and when you see it.

Example: As inventory levels update, sales and fulfillment teams can act immediately. Or when customers make changes to their account, support sees it reflected right away.

7. Oracle GoldenGate

GoldenGate specializes in high-volume, low-latency migrations and change data capture (CDC)—a way to continuously replicate data as it updates.

It’s often used in large financial, telecom, or retail organizations where real-time accuracy and uptime are non-negotiable.

Why it helps teams: Dashboards reflect live sales. Customer portals stay in sync. Finance gets real-time transaction data instead of batch updates.

8. Google Cloud Database Migration Service

If your company runs on Google Cloud, this is a natural fit. It simplifies moving relational databases (like PostgreSQL, MySQL, SQL Server) into Google-native services like BigQuery or Cloud SQL.

It’s also serverless, meaning you don’t have to manage infrastructure.

For data analysts and BI teams, this makes it easier to centralize data and build reports in Looker, Sheets, or BigQuery without delays.

9. Azure Database Migration Service

Designed for companies using Microsoft tools, this service helps migrate SQL Server, Oracle, PostgreSQL, and more into the Azure ecosystem.

What it enables: Smooth transitions from on-premise systems to cloud environments. That means your team gets faster performance, more modern tools, and fewer outages—all while keeping the same structure you're used to.

10. AWS Database Migration Service (DMS)

If your infrastructure runs on Amazon Web Services, AWS DMS helps you move databases without downtime, whether you’re consolidating, modernizing, or shifting to the cloud.

It supports both full migrations and continuous replication, so your data stays available during the transition.

Why it matters for your workflow: No delays during system upgrades or transitions. Teams can keep working without disruption—even during large-scale data moves.

Building a connected future, one migration at a time

As businesses grow more digital, more distributed, and more data-driven, the pressure to unify information and systems will only intensify. Whether you're streamlining reporting, modernizing your stack, or enabling new tools for your team, data migration is no longer a one-time project—it’s an ongoing capability.

Choosing the right platform isn’t just about moving data. It’s about empowering your teams with consistent, accessible, and trusted information so they can make smarter decisions, faster.

And the best platforms do more than move your data—they help you unlock its potential.

Ready to go beyond migration?

Domo helps you take the next step: not just moving data, but transforming it into real-time insights, operational apps, and measurable business outcomes. With hundreds of native connectors, built-in data transformation, and powerful visual tools, Domo lets anyone—from analysts to executives—work smarter with data from day one.

Whether you're just starting to modernize or looking to activate your existing data more fully, Domo helps you turn every migration into a momentum shift.

See how Domo can help you hit your data migration goals — Try Domo for Free

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