Is self-hosted Apache Hop cheaper than Pentaho Enterprise Edition?
Apache Hop carries no license fee, so any saving comes from the costs around it: servers, conversion effort and support. Apache Hop is Apache-2.0 licensed, and the current release, Apache Hop 2.19.0, was released on August 17, 2026 and requires Java 21. Pentaho does not publish Starter or Enterprise prices, so the comparison only becomes concrete once you hold a written quote. Ask the vendor to itemize licensing, support tier, term length, and any charges tied to the number of servers, users or jobs, so you can set those lines against the internal costs below. Whether Hop lowers total cost depends on how many jobs you run, how often they are scheduled, and what skills your team already has.
Treat the comparison as a model with four inputs. The first is the recurring Pentaho subscription and support line from the quote. The second is the compute you will provision for Hop, which in practice means a Hop Server or container hosts that run pipelines and workflows, plus whatever scheduler you use, since Hop Server does not schedule work itself. The third is one-time conversion effort, covering running the importer on your .ktr and .kjb files, reviewing duplicate database connections, and testing converted pipelines against current PDI output. The fourth is ongoing support, which you either buy from a vendor or staff internally. A job-heavy estate with frequent schedules and few PDI skills shifts the balance differently from a small estate that a single engineer already maintains.
Before you sign a renewal, run a short pilot on a representative subset of jobs and record the actual conversion hours and server footprint. Compare that against the quoted subscription over the term you would commit to, and include the cost of a Java 21 runtime upgrade if your current hosts do not meet it. Confirm with Pentaho what support the subscription would still give you if you move part of the workload during the term, because a partial migration is often where the cost model is least certain.
Which cost components change when you move from Pentaho to Hop
This table compares each cost component of running Pentaho Data Integration under a paid edition with running Apache Hop on your own infrastructure. Read each row for who is paid, whether the cost is one-time or recurring, and what you should ask for in a quote. Apache Hop's license is free under Apache-2.0, so the recurring costs you keep are infrastructure, staff time and any support you choose to buy.
| Cost component | Pentaho Enterprise Edition (commercial side) | Apache Hop (self-hosted side) | One-time or recurring |
|---|---|---|---|
| License or subscription | Paid Starter or Enterprise subscription, quoted by Pentaho; confirm term, scope and renewal terms in writing | No license fee; Apache-2.0 licensed, so the software itself carries no subscription | Recurring for Pentaho; none for the Hop license |
| Support | Included in paid editions and sold per subscription; confirm response commitments and escalation paths | Optional. Buy from a vendor or partner, or rely on the Apache community and your own staff | Recurring if purchased; optional for Hop |
| Infrastructure (Hop Server, Docker images, scheduler, Git) | Servers or containers for PDI runs and scheduling on your side, plus any Pentaho server components you deploy | Hop Server runs as a long-lived process, but it is not a scheduler, so you pay for an external orchestrator, Docker hosts and a Git service | Recurring hosting and tooling; sizing depends on pipeline volume |
| Implementation and project setup | Usually limited to installing and configuring the licensed product and its repository | Designing the Hop project structure, environments, metadata and deployment pipeline is effort you carry or contract out | One-time, with ongoing tuning |
| Conversion and testing | Existing .ktr and .kjb jobs stay as they are, so little conversion effort is needed | Run hop-import on transformations and jobs, review duplicate connection names, replace steps without a Hop equivalent, and compare output with PDI results | One-time per workload; the largest variable in this table |
| Upgrades and patching | Upgrades follow the vendor's release and support policy for your edition | You track Apache Hop releases (for example, 2.19.0 requires Java 21) and retest pipelines before rolling out | Recurring staff time; the Java runtime is a further dependency |
| Internal skills and training | Staff already trained on PDI tooling and Pentaho's repository model carry over in part | Teams learn the Hop GUI, project and metadata model and run-target choices such as the native engine, Spark or Beam | One-time learning curve, then recurring for new hires |
| Schedules and job orchestration | Pentaho scheduling is tied to the platform you already run | You select and operate an external scheduler to submit Hop workflows and pipelines | Recurring operation; decide whether to buy or build it |
What moves the comparison most
Six drivers decide whether a move from Pentaho Enterprise Edition to self-hosted Apache Hop costs less over time. Several of them interact, so a quote built on one driver alone can mislead. Use them to scope the work and to ask for the same breakdown from every vendor and partner you compare.
Count of transformations and jobs
The number of .ktr transformations and .kjb jobs is the main driver of conversion effort. Hop's importer converts many files in one pass, but every converted pipeline still needs review, and steps without a direct Hop equivalent need rework by hand. Ask for an inventory of steps, plugins and custom Java code before agreeing a fixed scope, because a large estate with few unusual steps often costs less per file than a small one full of custom plugins.
Number of environments
Development, test, staging and production each need their own connections, parameters and deployment path. Pentaho licenses and support are priced by the product, so extra environments mainly add operator time in Hop, not license fees. In Hop, count how many environments must be kept in sync and whether each needs its own Hop Server, since that multiplies hosting and patching work.
Scheduling and run frequency
Hop Server executes pipelines and workflows but does not schedule them, so an external scheduler or orchestrator must submit every run. The more jobs that run hourly or on event triggers, the more scheduler configuration, monitoring and failure handling you must build and maintain. Confirm who owns that scheduler after go-live, because an unowned schedule is the most common reason a migrated estate quietly stops running.
Data volume and run targets
Hop runs pipelines on its native engine, on Apache Spark natively or through Apache Beam, on Apache Flink or Google Dataflow through Beam, or on Databricks, selected as a runtime configuration. The native engine suits modest volumes on existing servers, while larger volumes may justify a cluster target and its infrastructure cost. Benchmark representative jobs on the chosen target, and ask any partner to price the target you actually need, not the one that looks simplest.
Availability needs for Hop Server
A single Hop Server is a long-lived process, so a failed host stops every pipeline it runs until it is restored. Higher availability means at least a second server, load balancing or failover logic, and monitoring that the scheduler can act on. Define the recovery time and the missed-run tolerance for each critical job first, because those answers set the server count, which in turn sets hosting and support cost.
Skills already on the team
Teams that already know Kettle can learn the Hop GUI quickly, but Hop uses its own project, metadata and environment model, and Java 21 is required for the current release. Teams without Java, Git or container experience will either train staff or buy support. Compare the training and retained expertise you need against Pentaho's paid support, and ask any implementation partner who will run the handover and how long knowledge transfer is scoped to last.
How to build the cost model with your own numbers
This sequence turns a vague renewal or license quote into a five-year comparison that you can defend, with each cost traced to a named component and a named source.
Inventory transformations, jobs and shared connections
Your data engineering lead or the Pentaho administrator lists every .ktr transformation and .kjb job in use, along with shared connections, kettle.properties entries and the schedules that trigger them. Group the pipelines by class, such as simple file loads, database-to-database moves, pipelines with custom Java or scripting steps, and jobs that call other jobs. Record which pipelines run in production, how often, and which teams depend on their output. The step is done when you have a single inventory sheet that counts each class and flags the steps or plugins you cannot yet map to Hop.
Request written Pentaho quotes for the edition you need
Procurement asks Pentaho or its reseller for a written quote for the Starter or Enterprise edition that matches your inventory, including the number of licensed seats or servers, the support tier, the contract term and the renewal uplift. Ask for the quote to state whether the price covers production use, what happens if you add servers, and what support response commitments come with each tier. Pentaho does not publish prices, so the written quote is the only reliable input for the license line. The step is done when you hold at least one quote per edition under consideration, all with comparable scope.
Price your own infrastructure for Hop
Your platform or infrastructure team estimates the servers or containers needed for Hop, which can run the Hop engine locally, on a remote Hop Server, or on Spark, Flink, Dataflow or Databricks. Include the Java 21 runtime, development and test environments, version control, backup storage and monitoring. Cost drivers are the number of Hop Server instances, the compute your largest pipelines need, and whether you run in your own data center or a cloud account. Use your current cloud or hardware rates, not published benchmarks. The step is done when each environment has a line item with a unit cost taken from your own invoices or procurement records.
Estimate conversion and testing effort per pipeline class
Data engineers estimate the effort to convert each pipeline class using the Hop importer, then to review the output, resolve duplicate database connections, replace steps without a Hop equivalent and compare results against Pentaho output. Effort depends on how many custom steps, scripts and embedded logic the pipelines contain, and on how well your test data represents production. Record hours per class in your own estimate, based on a pilot batch. Label the sample worksheet as illustrative, since your numbers will differ. The step is done when every class has an effort estimate backed by at least one converted pilot pipeline.
Add support, staffing and training options
Ask Apache Hop support providers, if you choose one, for written scope and pricing, and compare that with the internal staff time you will need for upgrades, security patches and on-call coverage. Apache Hop is free to license, so the recurring cost sits in the people and any external support you buy. Include the cost of training for engineers who have only used the Pentaho designer. Note what drives these costs up or down, such as the number of pipelines in production and how many Hop versions you must support at once. The step is done when support and staffing lines are written out with a source for each figure.
Build the five-year comparison side by side
Finance and the engineering lead place each cost component on one sheet for both paths, separating one-time costs such as conversion, testing and training from recurring costs such as licenses, renewals, infrastructure, support and staff time. Apply the renewal uplift from the Pentaho quote to each year, and show the Hop path with its own cost growth assumptions. Keep the assumptions visible so reviewers can change them. The step is done when you have one table with five annual columns, a one-time total, a recurring total and a clear note for each assumption.
Review the model with security and compliance owners
Before a decision, ask your security, compliance and data governance owners to review the model for items that change cost, such as data residency work, audit evidence for the new platform, and access controls on Hop Server and the Hop Web GUI. Record any costs they add. Independent auditors and certification bodies assess the controls, so confirm with them what evidence they will expect rather than assuming it. The step is done when the reviewers have signed off on the assumptions and all open questions are logged with an owner.
What to ask Pentaho for in a quote
Pentaho does not publish prices for its Starter or Enterprise editions, so the written quote is the only figure source you will have. Ask for it in writing and make sure it names the edition (Starter or Enterprise), the licensed unit of measure (users, cores, or servers, whichever the vendor applies), the number of units, and the term. A quote that says only "Pentaho Enterprise" with a single total leaves you unable to compare it with a second quote, a renewal, or a later audit. Also confirm whether the price covers production servers only or every environment you run, such as test, staging and disaster recovery.
Next, request the support terms in the same document. Get the support level, the hours covered, the severity definitions, and the initial response and escalation commitments for each severity. Ask whether support covers the PDI client, the server components, and any plugins you rely on, and whether it includes help with upgrades and patches. Ask for the renewal and uplift terms too: the annual increase cap, the notice period, what happens if you let the subscription lapse, and whether you can drop to a lower tier at renewal. Pentaho's own edition comparison and your account team can confirm these points, and their answers should go into the quote.
Finally, check what the quote includes for production use. The Developer Edition is for non-production use only, so any production workload needs a paid edition, and the quote should say so. Confirm which upgrade paths and fixes are covered, how long each major release is supported, and whether you may run the software in your own cloud or data center under the same terms. If you plan to move to Apache Hop, ask how long your current term runs and what notice applies, so that a migration plan can be timed against the contract end instead of against an invoice date.
Support options: buy it, staff it, or mix both
Buying support means paying an outside party to answer questions, troubleshoot incidents and provide fixes for Apache Hop, whether that is a commercial vendor of the Hop ecosystem or a retainer with a services firm. Apache Hop is an Apache-2.0 project, so the software itself carries no license fee. What you pay for is attention, response commitments and accountability, and that cost is recurring.
- Recurring fee: Support is usually billed on a term, so it repeats every year or month for as long as you rely on it.
- Response terms: Ask what hours are covered, how severity is defined and what the written response commitment is before you sign.
- Scope of coverage: Confirm whether the contract covers the Hop GUI, the Hop Server, the Docker images, the Kettle importer and your own custom transforms.
- Upgrade work: Find out whether moving to a new Hop release, such as a Java runtime change, is included or billed separately.
- Retainer alternative: A retainer with a services firm can cover planned upgrades, backups and on-call response on a fixed scope, so confirm what hours and deliverables it includes.
Before buying, check the contract for exclusions, data handling and who is responsible when a pipeline runs against an external engine such as Spark or Databricks.
Staffing means hiring or assigning engineers who operate Hop, Hop Server, the scheduler that submits work and the Java 21 runtime. This route has the lowest license cost and the highest fixed people cost. Most of the spend is salary, training time and on-call coverage, and it recurs for as long as the team exists.
- People cost: Estimate the salaries of the operators, including backup coverage for holidays and on-call rotations.
- Skills: Hop needs people who understand Java, Docker, Git-based project deployment and the target databases your pipelines write to.
- Tooling: Your team will also run the scheduler, monitoring, secrets handling and backups, each with its own tooling and recurring cost.
- Learning curve: Plan time for staff to learn the Hop GUI and to review converted Kettle pipelines against the original PDI output.
- Knowledge continuity: Document runbooks so that operations do not depend on one engineer.
Ask yourself how many operators you can staff continuously and whether that headcount is cheaper than a retainer at your expected pipeline volume.
The hybrid model splits the work. An implementation partner such as DeployOpen covers planning, the Kettle import, environment setup, testing against PDI output and a handover, while your internal team runs day-to-day operations. DeployOpen's engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before work starts, and ongoing support is available as a retainer if you want it after handover.
- One-time project cost: The implementation, import and handover are scoped and quoted once, based on the number of transformations, jobs and connections in your estate.
- Recurring run cost: Your staff time, plus any retainer you keep for upgrades or incident response, continues after handover.
- Handover deliverables: Ask for runbooks, deployment scripts, test evidence and a list of known gaps, each named in the written scope.
- Retainer option: Decide whether upgrades, security patching and on-call support will be covered by an ongoing retainer or by your own team.
- Reduced risk of rework: Specialist review of converted pipelines before cutover lowers the chance of fixing the same problems in production.
Before signing, ask for a written list of deliverables, the acceptance tests for handover and the exact point at which operational responsibility moves to your team.
Pentaho to Hop cost questions buyers ask
How much does Apache Hop cost in licensing?
Apache Hop is licensed under Apache-2.0, so the software itself carries no license fee. The cost of running it sits elsewhere: the servers or containers that host the Hop engine, Hop Server or Hop Web, the Java 21 runtime it requires, the time your team spends converting and testing pipelines, and any support contract you choose to buy. Apache Hop 2.19.0, released on August 17, 2026, is the version to plan around. Confirm the exact version and its Java requirement against the Apache Hop download page before you size infrastructure.
What drives the effort of moving from Pentaho to Hop?
Effort rises with the size and complexity of the estate, not with the license. The main drivers are the number of transformations (.ktr) and jobs (.kjb) to convert, how many steps have no direct Hop equivalent and need redesign, how many same-named database connections must be reviewed, whether kettle.properties and shared connections are used heavily, and how many schedules or external callers must be repointed. Hop's importer covers the file conversion, but it documents limitations such as keeping only one copy of same-named database connections and no metastore import, so those items need manual work.
How long does a Pentaho to Hop conversion take?
No duration can be stated from the researched facts, so treat any number you see as something to verify. The timeline depends on the inventory of pipelines and jobs, the share that converts cleanly, the depth of testing against Pentaho output, and how many environments and schedules must move. A fixed-scope written plan that lists these items gives you a realistic basis for a date. Ask any provider to break the timeline into inventory, conversion, testing, cutover and hypercare, and to state which of those phases depend on your team's availability.
What does the migration need from our internal team?
Your team supplies knowledge of the business logic, data owners who can confirm expected outputs, access to source systems and target databases, and someone who controls the scheduler that currently triggers PDI jobs. Hop Server is not a scheduler, so an external scheduler or orchestrator must submit work after the move. Plan for review time from the people who understand each pipeline, because automated conversion does not confirm that results match. Ask the provider which of these inputs they expect from you and how many hours of review they assume.
Can our own engineers migrate from Pentaho to Hop without a partner?
Yes, a capable team can run the migration itself, and the Hop manual documents the import path through the GUI (File, Import from Kettle/PDI) or the hop-import command-line tool. The question is capacity and risk. Your engineers must handle the manual items, build a test harness that compares Hop output with PDI output, set up deployment through Docker images, exported ZIP resources or a Git checkout, and keep the schedules running during cutover. If that work competes with production duties, an outside implementation partner can take a defined scope in writing.
How do we compare a Pentaho quote with a self-hosted Hop estimate?
Put both options on the same cost components over the same period. For Pentaho, ask the vendor for an itemized quote covering the edition (Starter or Enterprise), license term, support level, renewal increases and any usage or environment limits, since Pentaho does not publish prices. For Hop, list the servers or containers, storage, backups, monitoring, the conversion and testing labor, the first-year implementation scope and the recurring operations and support you choose. Separate one-time costs from recurring ones, and ask what happens to the price if you add environments or users. A self-hosted estimate is only as good as its labor assumptions, so have someone who will own the platform review them.
Does Apache Hop support the same run targets as PDI?
Apache Hop offers several run targets for the same pipeline, selected as a runtime configuration rather than a rewrite. Pipelines can run on the native Hop engine locally or on a remote Hop Server, on Apache Spark natively or through Apache Beam, on Apache Flink and Google Dataflow through Apache Beam, or on Databricks. Whether this changes your cost depends on whether you need distributed processing today. Confirm which run targets your workloads use before you size compute, and test performance on representative data.
How DeployOpen scopes a fixed-price Hop implementation
DeployOpen plans, implements, customizes, integrates, documents and supports self-hosted open-source platforms inside your own infrastructure. For a move from Pentaho Enterprise Edition to Apache Hop, we start with a written scope that lists which PDI jobs, transformations and connections are in play, so the cost comparison rests on your actual inventory rather than assumptions.
How we scope
- We inventory your PDI transformations, jobs, shared connections and kettle.properties files before agreeing any scope.
- The written scope names the Hop run targets, such as the Hop engine, Hop Server or Spark, that your workloads need.
- Engagements are fixed-scope, with deliverables and timelines agreed in writing before any work starts.
How we build
- We run the hop-import conversion on a copy of your projects and record every item that needs manual rework.
- We stand up Hop Server, scheduling and environment configuration in your own cloud accounts or data centers.
- We test converted pipelines against the output your current PDI jobs produce, and document each difference found.
How we hand over
- You receive documentation covering the Hop projects, environments, metadata, deployment method and runbooks.
- We walk your engineers through running, monitoring and changing pipelines so knowledge stays with your team.
- Handover includes a list of open items, licensing notes and the questions to confirm with your support provider.
How we support
- Ongoing support, upgrades and continuous testing are available as retainers after handover.
- Retainers can cover Hop version upgrades, such as moving to a newer release that requires a newer Java version.
- Support scope is agreed in writing, so you know what is covered before you need it.
