Use cases
Cloneto is a data movement engine for one-time migrations and ongoing sync between business systems. Teams define a migration once as a reusable pipeline, run it inside their own environment or their customer's, and track every record. Re-running a job never duplicates records, and a failed run resumes where it stopped. Cloneto is built by the team behind ClonePartner.
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Spec sheet · Cloneto
Cloneto handles batch data movement between any systems it connects to. That covers full platform migrations, phased migrations where both systems stay live, consolidations after a merger, scheduled and event-triggered syncs, onboarding imports and extracts from systems being retired. Every one runs on the same engine with the same record-level tracking.
| Movement | What it looks like | How Cloneto runs it |
|---|---|---|
| Platform migration | Leaving one system for another, with history | A Job Template with validation, lookup and migration tasks, rehearsed in a sandbox first |
| Phased migration | Both systems stay live while users keep working | A bulk load, then delta runs of changed records, then a final delta at cutover |
| Consolidation | Several sources merged into one after an acquisition | One job per source into the same target, with the mapping store preventing duplicates |
| Scheduled sync | Two live systems kept consistent, for example nightly | The same job on a cron schedule, reprocessing only changed records |
| Event-triggered sync | A change in one system starts a run | A webhook starts the job |
| Onboarding import | A software company brings a new customer's data over from their old tool | One template per source system, run for every customer who switches |
| Cleanup before load | Bad source data caught before it breaks the load | Validation tasks and AI checks flag records and fields and propose fixes |
| Retirement extract | History pulled out of a system being switched off | Written to your own database or storage for retention |
A one-time migration moves data from an old system to a new one and ends at cutover. Ongoing sync keeps two live systems consistent over time. Most real projects need both: a bulk load, delta runs while people keep working, a final delta at cutover, and often a sync that continues afterwards. Cloneto runs every stage with the same pipeline.
01
Rehearse
Sandbox runs
02
Bulk load
History moves while the source stays live
03
Delta runs
Both systems live
04
Cutover
Final delta
05
Ongoing sync
Schedule or webhook
SaaS companies use Cloneto to run their new customers' migrations themselves. The onboarding team builds a Job Template once for each system its customers leave, runs it for every customer who switches, and shares a live dashboard. Data migration stops being the reason a deal stalls.
One template per system you replace, reused for every customer who moves.
Scheduled or webhook-triggered sync with the systems your customers keep.
Deploy per customer, in their cloud or hosted in-region.
ClonePartner engineers can take complex migrations.
ClonetoFabrikamShared status page/Onboarding migrationRead-onlyOnboarding status
Fabrikam · Onboarding migration
Live · last updated 14:32 UTC
Complete
Rehearsal
Sandbox run, Tue 29 Sep
In progress
Initial load
Started today 06:40
Thu 8 Oct
Final delta
Tickets changed since the load
Fri 9 Oct
Go-live
Agents switch over
Records migrated
1,226,812
of 4,016,407 · 30.5%
Objects complete
1 of 4
Errors
26
each one explained
Progress by object
| Object | Migrated | Errors |
|---|---|---|
| Organizations | 3,212of 3,212 | 0 |
| Users | 18,940of 20,115 | 17 |
| Tickets | 1,204,660of 3,480,200 | 9 |
| Attachments | 0of 512,880 | 0 |
Errors as they surface
Users · 17 records14:21 UTC
Email address format is invalid
Fix them in the old helpdesk and they load in the final delta.
Tickets · 9 records14:29 UTC
Requester not found in destination
These tickets belong to the 17 users above and follow once those load.
The same engine runs about 25 enterprise onboarding migrations a month for a customer-support platform, averaging about 4 million records each.
Firms that migrate data for many clients, on any platform, build a template once and run it for each client.
For partners →Teams that cannot send data to a vendor's cloud run Cloneto in their own tenant or on their own servers.
Security and deployment →Cloneto is used wherever data has to move between systems without leaving the organization's control. That includes banking and credit unions, insurance, healthcare, the public sector and education, manufacturing and distribution, retail and e-commerce, nonprofits, and energy and utilities.
Banks, credit unions and the software vendors that serve them use Cloneto to convert customer and account data and keep core systems and CRM aligned.
Carriers, MGAs and policy-system vendors use Cloneto to move books of business between policy, claims and agency systems.
Providers, payers and health-tech vendors use Cloneto for the operational side of healthcare data.
Agencies, universities and their implementation partners use Cloneto to move constituent, case and student records off legacy systems.
Manufacturers, distributors and ERP partners use Cloneto for ERP replatforming and the cleanup before it.
Microsoft ends Dynamics GP support on December 31, 2029, and security patches on April 30, 2031.
Retailers and commerce agencies use Cloneto to replatform and to keep order, customer and product data consistent.
Nonprofits and their consultants use Cloneto to move donor, gift and relationship history into a new CRM.
Energy and utility companies use Cloneto where data must stay on their own infrastructure.
An energy data company ran its support-platform migration inside its own environment, under a US-data requirement.
Cloneto moves data between operational systems. It runs bulk migrations with transforms, deduplication and per-record error tracking, plus scheduled and event-triggered sync, deployable inside your own environment. ELT tools, iPaaS platforms and file importers solve neighboring problems, and Cloneto can run alongside them.
| Category | Examples | Built for | Where Cloneto differs |
|---|---|---|---|
| ELT pipelines | Fivetran, Airbyte | Loading data into a warehouse for analytics | System-to-system moves with transforms, dedup and per-record errors |
| iPaaS and workflow automation | Workato, Boomi, n8n | Event-driven workflows between apps | Bulk migration and scheduled bulk sync with a record-level audit trail, in your tenant |
| File importers | Flatfile, OneSchema | Customers uploading files into one product | Full multi-object histories with relationships, between any two systems |
| Native importers | The destination app's own import tool | Simple, single-object imports | Multi-object dependency graphs and repeatable runs |
| Scripts and SSIS packages | In-house code | Anything, rebuilt for each project | Reusable templates, resume on failure and full run visibility. Cloneto vs SSIS and KingswaySoft |
| Migration services | Consultancies | Hands-off delivery | Your team runs it, with ClonePartner engineers on call |
Cloneto is not the right tool for real-time event streaming or sub-second replication. It is also not built for analytics pipelines into a data warehouse. And for a single small file going into one app, that app's own importer is enough.
Cloneto is a data movement engine for one-time migrations and ongoing sync between business systems. Teams define a migration once as a reusable YAML pipeline, run it inside their own environment or their customer's, and track every record. Re-running a job never duplicates records, and a failed run resumes where it stopped. Cloneto is built by the team behind ClonePartner.
A data migration moves data from one system to another and ends at cutover, when the old system is retired. Data synchronization keeps two live systems consistent over time. Most projects need both: a bulk load, delta runs while people keep working, a final delta at cutover, and often a sync that continues afterwards. Cloneto runs all of these with the same pipeline.
Yes. The same Cloneto job that ran the migration can run on a schedule, such as nightly, or whenever a webhook fires. A content hash on every record means only changed records are reprocessed. Cloneto runs batch and scheduled sync; it is not a real-time event streaming platform.
Yes. A SaaS company's onboarding or solutions team builds a Cloneto Job Template once for each system its customers leave, then runs it for every customer who switches, with a live dashboard the customer can follow. For complex cases, ClonePartner engineers can take over the migration.
Cloneto deploys in your own or your customer's Azure subscription by default, on-premises as a single self-contained binary, or hosted in-region. In a tenant or on-premises deployment, the only outbound call Cloneto makes is a license check, so records never leave the environment.
PLACEHOLDER: confirm how AI assistant calls work in tenant deploymentsCloneto connects natively to SQL Server, PostgreSQL, MySQL, SQLite, MongoDB, CSV and YAML files, Azure Blob Storage, Amazon S3, and Dynamics 365 and Dataverse. Hundreds of SaaS applications, including Business Central, NetSuite, Salesforce, HubSpot and Zendesk, connect through a unified connector layer.
Cloneto keeps a mapping store that records which destination record each source record became, along with a content hash. When a job runs again, records that already migrated are updated or skipped instead of created twice, and unchanged records are not reprocessed.
A failed Cloneto run resumes from where it stopped. Errors are recorded per record, with the field and the reason, so the team can fix the source data or the mapping and continue without starting over.
Cloneto's AI assistant drafts mappings and pipelines from a prompt, flags bad source data before a load, and explains failed runs in plain language with a proposed fix. Its output is plain YAML that runs on Cloneto's deterministic engine, so every change can be reviewed before it runs. Cloneto also works from Claude. The Security page covers how the assistant handles client data.
Partly. Fivetran and Airbyte load data into a warehouse for analytics, and Workato and Boomi automate event-driven workflows between apps. Cloneto moves data between operational systems: bulk migrations with transforms, deduplication and per-record error tracking, plus scheduled sync, deployable inside your own environment. Cloneto can run alongside those tools.
Per client. A one-time migration is $500 plus $1,000 per million records, capped at $10,000. An ongoing sync is $200 a month plus $100 per million records, capped at $1,500 a month. Full details are on the pricing page.
Cloneto is built by the team behind ClonePartner, the engineer-led data migration company, with offices in Beaverton, Oregon and Bengaluru, India. ClonePartner holds a SOC 2 Type II report and ISO 27001 certification.
Thirty minutes with an engineer. Bring a source, a target and a sample of the data, and we'll draft the mapping and run it against a sandbox on the call.
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