Which Companies Offer Databricks Migration Services? (2026)

In short

• Databricks ships its own free migration tool. Lakebridge handles assessment, code conversion and data validation. Start there before you pay anyone.
• The real dividing line is automation vs delivery. Some providers sell a code-conversion engine. Others sell a team that runs the programme. These are different purchases.
• Your source system narrows the field fast. Teradata, SAS, Informatica and SSIS estates need converters that specifically support them. Snowflake migrations have a Databricks co-developed solution.
• Partner tier is now Bronze → Silver → Gold → Platinum. Bronze is enrolment only, with no delivery history implied. Silver is the first tier a firm has to earn.
• Almost every number in this market is a vendor claim. We found no independently audited migration benchmarks for any provider, including ourselves. We have flagged which is which.
• This list is not ranked. Providers appear alphabetically.

Why this list exists

Search for Databricks migration services and you get a wall of vendor pages. Every one of them says the same three things: they are certified, they are fast, and they de-risk your migration. None of them tells you who is actually a good fit for a Teradata estate with fifteen years of SAS on top of it.

That is not an accident. Nobody has an incentive to write the comparison, because writing it honestly means telling you when the answer is someone else, or nobody at all.

We went looking for a page that compared Databricks migration providers on objective criteria before we wrote this one. There isn't one. There are single-vendor service pages, general how-to-migrate guides, and broad Databricks consulting roundups that mention migration in passing. So we wrote what we wanted to read.

Two things you should know up front. We are one of the providers on this list, and we have not ranked ourselves first, or ranked anyone at all. And a meaningful share of what vendors publish about their own migration performance cannot be verified by anyone outside the vendor. We say so throughout, including about our own numbers.

Methodology, and who wrote this

A note on who we are. We're Cosmos Thrace, a Databricks Silver Partner based in Sofia, Bulgaria. We deliver Databricks migrations, so we are not a neutral third party and we are not going to pretend otherwise. We have included ourselves on this list in alphabetical position, with the same evidence standard applied to our entry as to everyone else's. Judge the criteria and check the sources.

What we compared, and why:

1. Source systems explicitly supported. The single most useful filter, and the one most vendors leave vague. A provider who names Teradata, SAS and Informatica has almost certainly done those migrations. A provider who says "legacy systems" may not have.
2. Automation tooling. Whether the firm has a named conversion engine, what it converts, and whether it is theirs or Databricks'.
3. Databricks partner tier. Verified against a primary source, not the vendor's own adjective.
4. Delivery scope. Assessment, build, cutover, validation, and what happens afterwards.
5. Where they deliver from.
6. Evidence quality. Whether published outcome figures are vendor-stated or independently verifiable.

What we deliberately did not do. We did not build a scorecard rating providers on migration success rate, defect rate, cutover downtime or timeline variance. Those would be the most useful numbers in this article, and no provider publishes them in an auditable form. Inventing a score to fill the column would make the page look more rigorous while being less true.

A note on partner tiers. Databricks replaced its old Registered / Select / Elite / Global Elite structure with Bronze, Silver, Gold and Platinum. This matters when reading vendor claims. In Databricks' own words, Bronze is "enrollment only… no delivery history implied", while Silver is the "first earned tier", requiring real customer activity and certified people. Gold adds at least one Brickbuilder specialization plus customer-success evidence. Platinum is invite-only.

Several firms describe themselves as a "Certified Databricks Partner" or "Databricks Consulting Partner". Neither of those is a tier.

Start here: Databricks' own tool is free

Before evaluating any provider, know that Databricks ships a free migration tool called Lakebridge, originating from Databricks Labs. It covers the three jobs most migration engagements charge for:

• Assessment of your existing landscape, to size effort and impact
• Conversion of both SQL and ETL code in a single tool
• Validation, with reports on schema, row and column data integrity

Databricks states Lakebridge is used by over 1,000 customers and partners, growing 20% month over month.

This does not make partners unnecessary. Lakebridge converts code; it does not redesign a data model that was wrong in 2011, negotiate cutover windows with a business that cannot take downtime, or own the outcome. But it does change the question you should be asking a vendor from "can you migrate this?" to "what are you doing that Lakebridge doesn't?"

Any provider who cannot answer that clearly is charging you for automation you could have had for nothing.

The providers

Listed alphabetically. This is not a ranking.

Cosmos Thrace

Partner tier: Silver (first earned tier)

Delivers from: Sofia, Bulgaria, serving Benelux, Nordics, UK and Central/Eastern Europe

Automation: None proprietary. We use Databricks-native tooling including Lakebridge.

Published evidence: Three migration case studies covering high-volume migration, sensitive-data migration for a financial institution, and migration with ongoing synchronisation for BI. We move 106 million data points daily across client platforms.

We run migrations as delivery programmes with senior people who stay on the engagement, rather than as a code-conversion product. That is a genuine trade-off, not just positioning: if your estate is a large, mechanical SQL and ETL conversion, a firm with a proprietary converter will likely do it faster and cheaper than we will.

Where we are not the right fit: single-technology, high-volume code conversion with no architectural redesign, and engagements where the buyer wants the lowest possible day rate rather than senior continuity.

Impetus Technologies (LeapLogic)

Partner tier: Gold, announced 16 April 2026, alongside four Brickbuilder Specializations. (Note: the LeapLogic partners page still displayed the older "Elite Consulting Partner" label at the time of writing.)

Delivers from: United States, with Los Gatos, California datelines on company announcements

Automation: LeapLogic, the most explicitly documented conversion engine we found

Source systems named: MS SQL Server, SSIS, Teradata, SAP BODS, SAS, Hadoop, Oracle, Informatica, PySpark

The widest publicly named source-system coverage of any provider here, and the only one that specifically names SAS and SAP BODS, which are consistently the hardest estates to move.

Vendor-stated figures (not independently verified): up to 95% automation, 85% auto-transformation, roughly 60% auto-conversion of complex models and 80–100% of simple to medium SAS modules, 4x faster transformation, 2x lower cost.

Jade Global

Partner tier: Not stated. The company describes itself as a "Certified Databricks Partner".

Automation: An unnamed "Migration Accelerator"

Source systems named: None specifically. The offering is framed as "Legacy Warehouse to Databricks".

Vendor-stated figures (not independently verified): 30% faster migration, 40% lower TCO, 40–60% effort savings, under 5% downtime during migration.

The figures are specific, but with no named source systems it is hard to tell which estates that accelerator has actually been proven against. Worth asking directly.

Lovelytics

Partner tier: Gold, per the company's own Databricks partner page

Delivers from: Arlington, Virginia, with an Americas emphasis

Automation: The Snowflake-to-Databricks Migration Brickbuilder Solution, co-developed with Databricks. Recent additions include automated conversion to Databricks SQL-compatible code, GenAI-assisted conversion for edge cases, a GenAI code-review assistant, and cataloguing of converted assets in Unity Catalog.

Source systems named: Snowflake, primarily, within a broader data warehouse migration framework

Published figures: customers have seen 2.7x faster performance and 12x more cost efficiency. Unusually, this figure is published by Databricks, not only by Lovelytics, which makes it the best-evidenced claim in this article. Lovelytics also won the 2026 Databricks Brickbuilder Partner of the Year award.

If you are migrating off Snowflake specifically, this is the most directly evidenced option available, and we would tell a client that.

Modak Analytics

Partner tier: Not stated. Describes itself as a "Databricks Consulting and Service Partner" and "Certified by Databricks".

Automation: None proprietary named. Uses Databricks-native tooling including Auto Loader, Delta Live Tables and Delta optimisations.

Source systems named: None specifically

Vendor-stated figures (not independently verified): over 50PB of data migrated, 13 years average experience, Fortune 100 clients. Their page states both 300+ engineers and 400+ engineers in different places, so treat the headcount as approximate.

The 50PB figure is the largest volume claim here. If your migration is primarily a scale problem rather than a translation problem, that is the relevant signal.

Onix

Automation: The Datametica Birds suite, with named components: Eagle for assessment, Raven for workload conversion, Pelican for data validation

Source systems named: Hadoop, Snowflake, Teradata, Netezza, Oracle, MS SQL Server

The clearest stage-by-stage tooling story of any provider here, with a distinct named tool for each of assessment, conversion and validation. Notably, this maps almost exactly onto what Lakebridge now does for free, so the comparison against Lakebridge is a fair question to put to them.

Vendor-stated figures (not independently verified): double the migration speed, 50% cost reduction, full data validation.

Unifeye

Partner tier: Bronze, per the badge on the company's own site. Under Databricks' definition, Bronze is enrolment only and implies no delivery history.

Delivers from: London, United Kingdom

Automation: No proprietary tool named. References Spark code translation, orchestration templates and testing harnesses, plus Databricks-native Delta Live Tables, Auto Loader and MLflow.

Source systems named: None specifically. Generic references to on-premise data warehouses, cloud-native tools and siloed pipelines.

Included because they position explicitly on Databricks migration and are one of the few UK-based options in this set. The Bronze tier is a factual data point rather than a criticism, but it is one a buyer should weigh.

The comparison at a glance

Two questions that narrow the field faster than any ranking

1. What are you migrating from?

If it is Snowflake, Lovelytics has a Databricks co-developed solution and the only externally published performance figure in this market.

If it is SAS, SSIS, Informatica or SAP BODS, the field narrows sharply. Impetus/LeapLogic is the only provider here that names all of them. These estates are where migrations overrun, because business logic is buried in procedural code nobody has read in a decade.

If it is Teradata, Netezza, Oracle or MS SQL Server, both Impetus and Onix name them explicitly, and Lakebridge's partner solutions cover them.

If your source system is not named anywhere on a vendor's site, ask for a reference migration from that exact platform before signing.

2. Are you buying automation or delivery?

These are genuinely different purchases and the market blurs them deliberately.

Automation converts code. It is priced by volume, it is fast, and it works well when the target design is essentially the source design on a better platform.

Delivery owns the outcome. It costs more per day and is worth it when the migration is also a redesign, when cutover risk is the binding constraint, or when the estate has more institutional knowledge than documentation.

Most real migrations need both. The mistake we see most often is buying conversion automation for an estate whose actual problem was that nobody could explain what the pipelines did.

What nobody publishes, including us

The most useful comparison in this article is the one we could not write.

There is no provider in this market publishing auditable figures on migration success rate, defect rate at cutover, actual downtime versus planned, timeline variance against original estimate, or post-migration platform cost against the business case. Not one, ourselves included.

Every percentage in this article that is not attributed to Databricks is a vendor-stated figure produced by the vendor's own marketing, measured on projects the vendor selected, with no published methodology.

That is worth knowing when you read "40% lower TCO" on any page, including this one. When you shortlist, ask for the denominator: forty percent lower than what, measured over what period, on how many projects, and can you speak to one of those clients.

The Cosmos Thrace perspective

We have moved enough enterprise data to have a strong opinion about where migrations actually fail, and it is almost never the code conversion.

It is scope. The migration gets sold as a lift of what exists, then somebody notices halfway through that thirty percent of the pipelines feed reports nobody has opened in two years, and the conversation the project needed at week one arrives at week fourteen instead.

It is validation. Converting is the easy half. Proving to a finance director that the new numbers match the old numbers, for every reconciliation they care about, is the half that takes the time. This is why we would rather see a provider name a validation tool than a conversion tool.

And it is the handover. A migration that leaves the client unable to operate the platform has not finished, whatever the project plan says.

Our honest read on this list: if your migration is a large mechanical conversion, buy the automation, and Impetus or Onix will likely serve you better than we will. If it is a redesign wearing a migration's clothes, which in our experience it usually is, buy the delivery team.

If that second description fits, our Databricks migration services page sets out how we scope and run one, including what we do with Oracle, Snowflake, Teradata and Synapse estates.

Sources

1. Databricks — Lakebridge migration solution page.
2. Databricks Community — "Databricks Partner Tiers Explained", July 2026.
3. Databricks — Lovelytics Snowflake Migration partner solution page.
4. Impetus / LeapLogic — Migration to Databricks.
5. Impetus — Databricks Gold Partner announcement, 16 April 2026.
6. Onix — Databricks partner and migration pages.
7. Modak Analytics — Databricks Migration Services.
8. Jade Global — Legacy Warehouse to Databricks.
9. Unifeye — Migration Services.
10. Cosmos Thrace — published migration case studies.

All vendor claims accessed and recorded 10 August 2026.