9 Best Alteryx Alternatives for Data Prep and Analysis (2026)
Alteryx built its reputation on a specific promise. Prepare, blend, and analyze data without writing code, using a visual workflow anyone on the team can read. That promise still holds, and for many teams the platform remains the right answer.
Teams look elsewhere for a handful of recurring reasons. Entry pricing starts at $250 USD per user per month on the Starter edition, billed annually. Some teams want an open-source foundation. Others have moved to a model where the analysis happens in a conversation rather than in a workflow canvas.
This list covers nine Alteryx alternatives that handle data preparation and analysis, with the pricing each one publishes today.
How these tools were evaluated
Eighteen Alteryx alternatives were considered for this list. Nine appear below; nine were set aside.
The screening rule was deliberately narrow. A tool qualifies only if its own pricing page publishes readable tier pricing in US dollars, on the day of writing. Tools whose pricing exists solely behind a sales conversation were set aside, regardless of how capable they are. The reason is practical — a list that cannot state what something costs is not much use when the question is whether to switch.
The nine that were set aside, and why:
| Tool | Why it was set aside |
|---|---|
| Astera | Pricing page returned no readable tier figures |
| Domo | Consumption-based pricing, no published per-seat tiers |
| Databricks | Priced per compute unit rather than per seat |
| Dataiku | Tiers not stated on the plans page |
| Matillion | Pricing page did not return readable tiers |
| Mode | No published figures on the pricing page |
| Parabola | No published figures on the pricing page |
| EasyMorph | Pricing URL returned a 404 |
| Tableau | Pricing page returned a 403 and could not be read |
Several of those are strong products. Their absence from this list of Alteryx alternatives reflects only the pricing transparency rule, not their capability.
Two notes on the entries that follow. Pricing is quoted as each vendor displayed it on September 17, 2026, at list rates, without promotional comparisons. And one entry has changed hands recently, which is flagged in its section.
What to check before switching
Four questions decide most of these evaluations, and they are worth answering before reading feature lists.
Where does the data come from? If it arrives as files, a file-first tool removes a whole layer. If it lives in a warehouse or a production database, a connector-first tool matters more than anything else on the page.
Who maintains the result? A workflow, a notebook, and a dashboard are all artifacts somebody owns. If nobody on the team will own one, tools that produce a durable artifact create a liability rather than an asset.
What is the deliverable? A refreshed table, an interactive app, and a finished report are three different outputs. Several tools here do one of them well and the others adequately.
How predictable is the volume? Credit-based and compute-based pricing are both common on this list. They reward steady workloads and punish unpredictable spikes, so bursty teams should model the ceiling rather than the headline figure.
A short answer to those four narrows nine options to two or three. Feature comparison is much easier at that point.
Quick comparison
| Tool | Best for | Entry paid tier | Free tier |
|---|---|---|---|
| Powerdrill Bloom | File-first analysis that outputs documents | $199.00 / year | Yes |
| KNIME | Open-source visual workflows | $19 / month | Yes |
| Hex | Notebook and app building for data teams | $36 per editor / month | Yes |
| Sourcetable | Spreadsheet-native AI analysis | $29 / user / month | Yes |
| Quadratic | Spreadsheet with code cells | $18 / user / month | Yes |
| Coefficient | Live data inside existing spreadsheets | $49 / month | Yes |
| Deepnote | Collaborative data notebooks | $39 per editor / month | Yes |
| Rows | Spreadsheet with built-in integrations | $8 / month per user | Yes |
| Metabase | Self-serve BI and dashboards | $6 per user / month | Open source |
1. Powerdrill Bloom
Powerdrill Bloom approaches the problem from the opposite end of a workflow canvas. Instead of building a pipeline that transforms data, a user uploads the file and describes the question in natural language. The analysis, charts, and finished documents come back from the same request.
That makes it a different shape of tool rather than a feature-for-feature replacement. It suits teams whose data arrives as files: quarterly exports, survey downloads, PDF statements. The deliverable is a report or a deck rather than a repeatable pipeline.
Among Alteryx alternatives, this is the entry that changes the question rather than the interface.
Best for
Analysts and business teams who receive data as files. The need is a document, spreadsheet, or presentation produced quickly, without building or maintaining a workflow first.
Key features
Uploads cover Excel, CSV, PDF, and general documents, with built-in open data sources available for public datasets alongside them. Questions are asked in natural language, and follow-up questions refine the previous answer rather than requiring a rebuild.
Outputs span charts, insights, summaries, slides, Office documents, Excel analysis, and generated images. Agent skills run both built-in and custom workflows, and Claude Skills are supported for teams that have already written them. Scheduled tasks handle recurring analysis, with allowances rising by plan.
Pricing
The Free plan is $0.00 per year and includes 1,000 daily refreshed credits, file uploads, open data search, and one scheduled task. Pro is $199.00 per year, adding 5,000 monthly credits on top of the daily allowance, deeper analysis, and 20 scheduled tasks. Plus is $399.00 per year with 11,000 monthly credits. Premium is $1,990.00 per year with 60,000 monthly credits for high-volume work.
Pros
The path from raw file to finished artifact is short, with no build step to staff or maintain. Output range is unusually wide for a tool in this category, covering slides and documents rather than charts alone. A usable free tier allows genuine evaluation before committing. Claude Skills support means existing workflow definitions are not wasted.
Cons
It is not a pipeline tool. Teams needing scheduled ETL into a warehouse, or a governed transformation layer other systems depend on, will find that its pages describe a different job. Live connections into production databases are not the primary path — file uploads and open data sources are. Self-hosted or air-gapped deployment is not described on its product pages, which will rule it out for some regulated environments. Credit allowances mean very heavy users should check capacity against a tier before committing.
Want to see what your own export produces? Start with Powerdrill Bloom.
2. KNIME
Among Alteryx alternatives, KNIME is the closest structural match. It is a visual workflow platform where nodes are connected on a canvas to read, transform, model, and write data.
The distinguishing property is its foundation. KNIME Analytics Platform is open source and free to download, which answers the most common search in this category directly.
Best for
Teams that want visual, node-based workflows with an open-source core, and who are comfortable managing their own environment before paying for hosted automation.
Key features
The desktop platform handles analytics of any complexity, described by KNIME as ranging from simple analytics through statistical analysis to machine learning and generative AI. Workflows read and write files, databases, and services, and can generate reports. Visual workflows can be interleaved with code.
The K-AI assistant helps build workflows, with 500 interactions per month included on Pro. Hosted tiers add workflow automation, data apps, secrets storage, and versioning.
Pricing
The Personal account is free and includes 20 K-AI interactions per month, self-paced courses, and forum access. Pro starts at $19 per month and includes 120 credits of workflow runtime, with additional runtime at $0.025 per vCore minute. Team starts at $99 per month, includes three team members in private spaces, and charges $49 per month for each additional member. Business Hub pricing is available on request.
Pros
The open-source core removes the licensing question entirely for teams that only need the desktop platform. Node-based workflows transfer conceptually from Alteryx with modest retraining. Runtime pricing is granular enough to model before committing. The community and node library are large and long-established.
Cons
The hosted tiers introduce credit-based runtime pricing, which takes some modeling to predict for bursty workloads. Business Hub pricing is not published, so enterprise budgeting requires a conversation. The desktop-first model means collaboration features live behind the paid hub rather than in the free tier.
3. Hex
Hex is one of the more technical Alteryx alternatives, targeting data teams that work in notebooks but need to ship something a colleague can use. Projects combine SQL, Python, and no-code cells, then publish as interactive apps.
It sits further toward the technical end of this list than the spreadsheet tools, and further toward the collaborative end than a local notebook.
Best for
Data teams with SQL and Python skills who need analysis that ends as a shareable, interactive app rather than a file.
Key features
Projects mix cell types, connect to any supported data source, and publish as apps. Generative features build interactive dashboards from a prompt. Compute profiles scale from Extra Small through 4XL, with Medium included on all paid plans and larger profiles billed per minute of usage.
Team plans add scheduled runs and alerts, shared components and collections, visual exploration with drill down, and unlimited version history.
Pricing
Community is free for individuals, including a Hex agent trial, any data source, all cell types, and Small compute. Professional is $36 per editor per month and adds the Hex agent, standard credits, up to five published apps, 30-day version history, and Medium compute. Team is $75 per editor per month with extended credits and unlimited published apps. Enterprise pricing is custom.
Compute above Medium is billed per minute of usage. Large is $0.32 per hour and Extra Large is $0.65. The 2XL profile is $1.29 and 4XL is $2.58. GPU profiles are $2.93 and $4.06.
Pros
Published apps give non-technical colleagues a real interface without a separate build tool. Compute pricing is transparent down to the hour, which is rare in this category. The free tier is genuinely usable for solo projects. Version history and scheduled runs cover the operational needs of a working data team.
Cons
SQL and Python competence is assumed for most of the value, which puts it out of reach for business teams without those skills. Per-editor pricing rises quickly for larger teams. Compute add-ons mean the monthly figure is a floor rather than a total. Teams comparing it with other options may also want the roundup of Hex alternatives.
4. Sourcetable
Sourcetable puts AI analysis inside a spreadsheet interface. Of the Alteryx alternatives here, it asks the least adjustment from anyone whose instinct is to open a grid.
Best for
Spreadsheet-first analysts who want AI assistance without leaving a familiar grid, and who work with data that fits comfortably in a spreadsheet.
Key features
The AI assistant handles analysis, insights, and summarization inside the sheet. Smart formulas, pivots, charts, and visualizations are generated rather than constructed by hand. Magic-autofill, data generation, and AI research cover the gaps where data is missing.
Paid tiers add Deep Research, premium models, and a Python and data science toolkit. They also expand chat memory and context, and include a SQL editor with a query builder and library. Data connectors are available across all tiers.
Pricing
The Regular plan is free per user per month and includes 50 credits, resetting monthly. Pro is $29 per user per month with 2,000 monthly credits. Max is $100 per user per month with 6,000 monthly credits and unlimited AI messages, subject to abuse guardrails. Additional one-time credit packs are sold separately and do not expire.
Pros
The spreadsheet metaphor removes retraining for business users. Credit allowances are stated clearly per tier. The SQL editor on paid plans gives technical users a route beyond the grid. Education pricing is available for students with a university email.
Cons
The spreadsheet model imposes practical size limits that a pipeline tool does not have. Credit-based pricing needs monitoring for heavy analytical use. Scheduled, governed transformation into a warehouse is not what its pages describe. A wider survey is available in the roundup of Sourcetable alternatives.
5. Quadratic
Quadratic is a spreadsheet that treats code as a first-class citizen. Cells can hold formulas, Python, or SQL, and the results render on the same canvas. It is among the few Alteryx alternatives that mix both in one file.
It appeals to the analyst who is fluent in both worlds and tired of moving data between them.
Best for
Technical analysts who want spreadsheet ergonomics with real code execution in the same file, without exporting to a notebook and back.
Key features
The grid supports formulas alongside Python and SQL cells, with results rendering in place. AI assistance is built in, with credit allowances rising by tier. Connections and file handling are unlimited on paid plans, and additional privacy controls arrive at Pro.
Enterprise adds single sign-on, a self-hosting option, custom AI usage, and dedicated support.
Pricing
The Personal plan is free with limited AI usage, sharing, files, and connections. Pro is $18 per user per month billed annually, including $20 in monthly AI credits, access to additional models, and unlimited sharing, files, and connections. Business is $36 per user per month billed annually with $40 in monthly AI credits and on-demand credit purchases. Enterprise pricing is custom.
Pros
Mixing formulas and code in one file removes a genuinely annoying context switch. Entry pricing is the lowest per-seat figure among the paid tiers on this list. A self-hosting option exists at the Enterprise tier, which matters for regulated teams. AI credits are stated as a dollar allowance rather than an opaque unit.
Cons
The audience is narrower than a plain spreadsheet, since much of the value assumes Python or SQL. AI credits are consumed rather than unlimited, so heavy use needs watching. Governed pipeline scheduling is not the job its pages describe.
6. Coefficient
Coefficient takes a different angle from other Alteryx alternatives. Rather than replacing the spreadsheet, it pipes live data into the one your team already uses. Connections refresh on a schedule, and exports write back.
Best for
Teams committed to Google Sheets or Excel who want live system data in those files without changing tools or retraining anyone.
Key features
Data sources connect directly into the spreadsheet, with row import limits and refresh counts set by tier. Auto data refresh runs daily on paid plans. Exports write data back out, with their own size and frequency limits. Alerts fire on defined conditions.
Paid tiers add SQL, chart, and pivot builders, data snapshots, and on-sheet AI functions.
Pricing
Free is $0 per month with three standard data sources, a 5,000-row import size, 50 monthly import refreshes, and 30 monthly alerts. Starter is $49 per month with 500 import refreshes, daily auto refresh, data snapshots, and 100 alerts. Pro is $99 per user per month with six data sources and larger pulls. Enterprise pricing is arranged directly.
Pros
Zero retraining, because the interface is the spreadsheet people already open. Scheduled refresh turns a manual export into a standing process. Limits are published precisely enough to model before buying. The free tier is sufficient to test a real connection.
Cons
Value is tied to the spreadsheet as the destination, so it is not a fit where the output should be a governed warehouse table. Row import limits at lower tiers constrain larger datasets. Pro moves to per-user pricing, which changes the cost curve for wider teams.
7. Deepnote
Deepnote is a collaborative data notebook built for teams rather than solo work. Multiple people can work in the same notebook, and published results are shareable. It suits teams whose search for Alteryx alternatives started from a Python background.
Best for
Data teams that live in notebooks and need real-time collaboration, review, and sharing built into the environment.
Key features
Notebooks support collaborative editing with data connections and scheduled execution. Published notebooks and apps make results available to readers who do not write code. Environment management covers dependencies and compute.
Pricing
The Free plan is described as free forever. Team is $39 per editor per month billed yearly. Enterprise pricing is custom, arranged through a conversation.
Pros
Real-time collaboration is native rather than bolted on. The free tier is positioned as permanent rather than a trial. Per-editor pricing means readers do not all need paid seats. The notebook format is familiar to anyone from a Python background.
Cons
Python fluency is assumed for most of the value. Visual, node-based workflow building is not what its pages describe, so the conceptual transfer from Alteryx is smaller than with KNIME. Enterprise pricing is not published. A broader survey sits in the roundup of Deepnote alternatives.
8. Rows
Rows is a spreadsheet with integrations built into the product rather than added through an add-on. That distinguishes it from most Alteryx alternatives of this shape. It also extracts data from PDFs and analyzes it with AI features.
One note before the details: the pricing page states that Rows joined Superhuman. Anyone evaluating it should confirm the current roadmap directly, as ownership changes sometimes precede product changes.
Best for
Small teams who want a spreadsheet that pulls from business tools natively, with AI tasks for extraction and reporting.
Key features
Integrations connect business accounts directly, with account limits by tier. AI Tasks handle extraction, analysis, and reporting, metered monthly. Data Tables support automated refresh, at a daily cadence on Plus and per-minute on Pro. Guest access is included at every tier, with the ceiling rising by plan.
Pricing
Free is $0 with five monthly AI Tasks, manual import, ten integration accounts, and up to three guests. Plus is $8 per month per user with 200 monthly AI Tasks, daily automation, and up to ten guests. Pro is $79 per month plus $8 per month per user. That tier carries 1,000 monthly AI Tasks, per-minute automation, 100 integration accounts, and up to 200 guests. Enterprise is arranged directly.
Pros
Entry pricing is the lowest paid per-user figure on this list. Native integrations remove the connector step for common business tools. Generous guest allowances suit teams sharing with stakeholders. PDF extraction is built in rather than an add-on.
Cons
The ownership change means roadmap questions are worth asking before a long commitment. AI Tasks are metered, and the free allowance is small. The Pro tier combines a platform fee with per-user pricing, which complicates comparison. Spreadsheet scale limits apply as with other tools of this shape.
9. Metabase
Metabase is the business intelligence entry among these Alteryx alternatives. It answers a different half of the problem. Not preparing the data, but letting people across a company query and visualize it themselves.
Best for
Teams whose data already sits in a warehouse and who need self-serve dashboards and question-asking for non-technical colleagues.
Key features
Users write SQL or explore by clicking, with results rendering as charts and dashboards. The open-source edition can be self-hosted at no license cost. Paid tiers add row and column level permissions, single sign-on, caching controls, usage analytics and auditing, multi-tenant embedded analytics, and whitelabel readiness.
Pro adds embedded charts and dashboards with tailored interactivity, AI question-asking for customers, and full brand customization.
Pricing
The open-source edition is free for unlimited users. Starter adds $6 per user per month, or $65 per user per year, with the first five users included. Pro is $575 per month, or $6,210 per year. On top of that it adds $12 per user per month, or $130 per user per year, with the first ten users included. Enterprise pricing is custom and starts at $20,000 per year.
Pros
The open-source edition removes cost from the evaluation entirely for self-hosting teams. Click-based exploration genuinely works for non-technical users. Embedded analytics is a first-class capability rather than an afterthought. Per-user pricing is published at both monthly and annual rates.
Cons
It reads from prepared data rather than preparing it, so it complements a data prep tool rather than replacing one. The Pro platform fee is substantial before per-user costs are added. Self-hosting the open-source edition transfers operational burden to your team. A wider comparison sits in the roundup of Metabase alternatives.
What a migration actually involves
Switching tools is rarely a one-week project, and the cost sits in places the pricing page does not show.
Existing workflows do not port. None of these Alteryx alternatives import an Alteryx workflow file directly, so anything currently running gets rebuilt rather than converted. That is usually the largest line item in a migration. It scales with how many workflows are genuinely in use, not how many exist.
A useful first step is an inventory. Most teams find that a minority of their workflows carry the majority of the value, and that a long tail has not run in months. Rebuilding the active minority is a much smaller job than the raw count suggests.
Retraining is the second cost, and it varies sharply by which group you pick. Moving to another node-based canvas asks the least. Moving to a notebook asks the most from people without Python. Moving to a spreadsheet-shaped tool or a conversational workspace often asks the least of all, because the interface is already familiar.
Scheduling and downstream dependencies are the third. A warehouse table, a dashboard, or a finance close may depend on a workflow finishing by a certain hour. That dependency needs to exist in the new tool before the old one is switched off.
Running both in parallel for one cycle is the standard way to de-risk this. It costs one month of double licensing and catches the differences that a feature comparison never surfaces.
Final verdict
These nine Alteryx alternatives do not line up on a single axis, which is why a ranked order would mislead. They cluster into four groups, and picking the right group matters more than picking within it.
Visual workflow builders. KNIME is the direct structural match, and its open-source core is the reason most teams shortlist it. If what you value about Alteryx is the canvas itself, start here.
Spreadsheet-shaped tools. Sourcetable, Quadratic, Rows, and Coefficient all keep the grid and add capability around it. Coefficient is distinct within this group because it enhances the spreadsheet you already have rather than replacing it.
Notebook and app environments. Hex and Deepnote serve teams with SQL and Python skills who need results that others can open. Hex leans toward published apps; Deepnote leans toward collaborative authoring.
File-first analysis and BI. Powerdrill Bloom and Metabase sit at opposite ends of the same question. Powerdrill Bloom takes a file and returns a finished document. Metabase takes a prepared warehouse and lets a company query it. Neither is a pipeline tool, and both are often deployed alongside one.
The practical sequence is to identify which group your work belongs to before comparing individual Alteryx alternatives on features. A team that shortlists a notebook environment and a spreadsheet tool against each other is usually still deciding what kind of work it does.
For the preparation step specifically, there are related roundups covering Power Query alternatives and AI tools for data cleaning and preparation. For the cleaning task itself, there is a walkthrough on cleaning and deduplicating Excel data with AI.
Frequently asked questions
What is the best free Alteryx alternative?
KNIME Analytics Platform is the strongest free option for teams that want visual workflows, since its desktop platform is open source and free to download. Metabase offers a free open-source edition for the BI side. Several other tools on this list publish usable free tiers rather than time-limited trials.
Is there an open-source Alteryx alternative?
Yes. KNIME Analytics Platform is open source and the most common answer to this question. Metabase also publishes an open-source edition, though it addresses querying and dashboards rather than data preparation.
How much does Alteryx cost?
The Alteryx pricing page lists the Starter Edition at $250 USD per user per month, billed annually, for teams of one to ten users. Professional and Enterprise editions are quoted through a sales conversation rather than published.
Which Alteryx alternative is easiest for non-technical users?
The spreadsheet-shaped tools have the shortest learning curve, since the interface is already familiar. Coefficient goes furthest in this direction by working inside an existing spreadsheet. For teams whose deliverable is a document rather than a sheet, a file-first workspace removes the build step entirely.
Can any of these replace Alteryx for scheduled data pipelines?
KNIME is the closest fit, with hosted tiers that automate and deploy workflows on a schedule. Most other tools on this list target analysis and reporting rather than governed pipeline orchestration. Teams with heavy ETL requirements should weight that capability first.
Sources: Vendor pricing pages as displayed on September 17, 2026 — alteryx.com, knime.com, hex.tech, sourcetable.com, quadratichq.com, coefficient.io, deepnote.com, rows.com, metabase.com, powerdrill.ai/pricing.