Databases · head to head
dbt vs RisingWave

dbt
Databases
SQL transformation framework enabling analytics engineers to version, test and deploy models
- From
- Free
- Rated
- -

RisingWave
Databases
Streaming database that maintains incremental materialised views in SQL instead of Flink jobs
- From
- Free
- Rated
- -
The short version
- Each has a real cost: dbt free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use; RisingWave anything that does not fit SQL, such as custom windowing, complex event processing or heavy stateful logic, still needs Flink, so RisingWave often adds a system rather than removing one.
- Prices and features above were last checked on 2 September 2026.
Where they differ
Only the attributes on which dbt and RisingWave actually diverge.
| Attribute | dbt | RisingWave |
|---|---|---|
| Pricing model | subscription|free | Per RisingWave Unit hour |
| Platforms | Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf) | Linux, Docker, Kubernetes, Cloud |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in dbt
Nothing recorded that RisingWave does not also cover.
Only in RisingWave
- SQL materialised views
- Postgres wire compatibility
- Object storage state
- Source connectors
- Sink connectors
- Iceberg tables
- Watermarks and windowing
- User defined functions
What people use each for
The jobs each tool is most often brought in to do.
dbt
- Data warehouse transformation and ELT pipelinesnot RisingWave
- Analytics engineering for reporting and business intelligencenot RisingWave
- Data quality testing and validation at scalenot RisingWave
- Cross-functional data collaboration with version controlnot RisingWave
- Cost optimisation of warehouse usage through intelligent schedulingnot RisingWave
RisingWave
- A team with Kafka topics that needs continuously fresh aggregates for a dashboard without standing up a Flink clusternot dbt
- A fraud or risk team maintaining rolling counters and joins across event streams expressed as SQL viewsnot dbt
- A company doing Postgres CDC into a real-time denormalised view for search or servingnot dbt
- An analytics group that wants streaming results landed directly into Apache Iceberg without a separate writer jobnot dbt
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
dbt
- Free tier severely limited: 3,000 models/month cap and single project maximum restricts team and production use
- Starter at $1,200/year per seat: minimum 5-seat team costs $6,000/year baseline; no single-seat or 2-seat paid option
- Enterprise pricing opaque: 'custom pricing' with no budget range for startups vs. enterprises; requires sales consultation
- Model volume metering unclear: 'successful models/month' as a limit is ambiguous; unclear if this counts transformation runs, test runs, or deployment attempts
RisingWave
- Anything that does not fit SQL, such as custom windowing, complex event processing or heavy stateful logic, still needs Flink, so RisingWave often adds a system rather than removing one.
- The Apache 2.0 community edition excludes premium features behind a licence key, and which capabilities sit on which side of that line moves between releases, so a self-hosted plan can be invalidated by an upgrade.
- Long-running materialised views accumulate state in object storage, and cost and recovery time grow with retention in ways that are hard to forecast before you are in production.
- The Postgres compatibility is protocol level; it is not a transactional Postgres and using it as a general purpose database, with point updates or high write concurrency, goes badly.
- It is a comparatively young venture-funded project competing with Flink, Materialize and warehouse-native streaming, and the ecosystem of connectors, operators and third-party expertise is much thinner.
Pricing, plan by plan
dbt
Free- DeveloperFree
- Starter$100/seat/month
- Enterprise$undefined/mo
- Enterprise+$undefined/mo
RisingWave
Free- Community EditionFree
- Apache 2.0 licence, self-hosted
- Core streaming engine and connectors
- Premium features excluded and require a licence key
- Cloud Basic$0.227/hour
- Billed per RisingWave Unit hour
- Hosted on AWS, GCP or Azure
- Capped at 64 cores
- Cloud Pro$undefined/year
- No core limit
- Bring your own cloud option
- Premium features included
- Self-managed Enterprise$undefined/year
- On premises or Kubernetes
- Premium features unlocked by licence
- Annual contract with SLA
Which should you pick?
Choose dbt if
- You want to start without paying.
- You work on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf).
Choose RisingWave if
- You need sql materialised views.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Cloud.
- You also want postgres wire compatibility.
Questions people ask
- Is dbt or RisingWave better?
- Neither clearly leads. dbt starts at Free and RisingWave at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, dbt or RisingWave?
- dbt starts at Free and RisingWave at Free.
- Does dbt or RisingWave run on more platforms?
- dbt runs on Cloud, Self-hosted, IDE integration (VS Code, Cursor, Claude Code, Windsurf). RisingWave runs on Linux, Docker, Kubernetes, Cloud.
- Can I use dbt for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is dbt best used for?
- dbt is most often used for data warehouse transformation and elt pipelines, analytics engineering for reporting and business intelligence, data quality testing and validation at scale, cross-functional data collaboration with version control. Of those, data warehouse transformation and elt pipelines and analytics engineering for reporting and business intelligence are not what RisingWave is typically brought in for.
- What can dbt do that RisingWave cannot?
- RisingWave covers SQL materialised views, Postgres wire compatibility, Object storage state, Source connectors.
Answered from the vendors’ own pages
dbt: How much does dbt cost?
dbt Developer is free. dbt Starter is $100/seat/month with a 5-seat minimum (or custom annual billing). Enterprise and Enterprise+ have custom pricing and require contacting sales.
SourceRisingWave: Is RisingWave open source?
The community edition is Apache 2.0 and self-hostable, but a set of premium features requires a paid licence key.
dbt: What is included in the free Developer plan?
The Developer plan is free and includes 1 developer seat, 3,000 successful models/month limit, 1 project, browser-based IDE, MFA, and job scheduling.
SourceRisingWave: What does the cloud cost?
It starts at 0.227 US dollars per RisingWave Unit hour on the Basic tier, which is capped at 64 cores.
dbt: What is the model limit on each plan?
Developer tier allows 3,000 successful models/month. Starter allows 15,000/month. Enterprise and Enterprise+ allow 100,000/month.
SourceRisingWave: Does it replace Flink?
For SQL-expressible transformations, often yes. For custom stateful processing and complex event handling, no.
dbt: Can I upgrade or downgrade my dbt plan?
Yes. dbt allows you to 'upgrade or downgrade at any time.' Starter plans bill monthly by credit card based on seat count; Enterprise plans are annual invoicing.
SourceRisingWave: Can I query it like Postgres?
Yes over the Postgres wire protocol, but it is an analytical streaming engine, not a transactional database.
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