Databases · head to head
Marqo vs RisingWave

Marqo
Databases
AI-native product discovery platform for ecommerce
- From
- On request
- Rated
- -

RisingWave
Databases
Streaming database that maintains incremental materialised views in SQL instead of Flink jobs
- From
- Free
- Rated
- -
The short version
- Only RisingWave has a free tier, so it costs nothing to try first.
- Each has a real cost: Marqo pricing not publicly available, enterprise sales-only model; 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.
- They diverge on capability: Marqo covers Semantic search, RisingWave covers SQL materialised views.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Marqo and RisingWave actually diverge.
| Attribute | Marqo | RisingWave |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | contact-sales | Per RisingWave Unit hour |
| Free tier | No | Yes |
| Platforms | Web API, SaaS | Linux, Docker, Kubernetes, Cloud |
| Founded | 2022 | Unknown |
Identical on both: 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 Marqo
- Semantic search
- Multimodal image search
- AI model training
- Automated merchandising
- Multi-surface integration
- Commerce platform integrations
- API access
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.
Marqo
- Improve search revenue for fashion and beauty retailersnot RisingWave
- Implement multimodal image and product searchnot RisingWave
- Increase checkout conversion through better product discoverynot RisingWave
- Create personalized product recommendationsnot RisingWave
- Reduce customer support inquiries with relevant search resultsnot RisingWave
RisingWave
- A team with Kafka topics that needs continuously fresh aggregates for a dashboard without standing up a Flink clusternot Marqo
- A fraud or risk team maintaining rolling counters and joins across event streams expressed as SQL viewsnot Marqo
- A company doing Postgres CDC into a real-time denormalised view for search or servingnot Marqo
- An analytics group that wants streaming results landed directly into Apache Iceberg without a separate writer jobnot Marqo
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Marqo
- Pricing not publicly available, enterprise sales-only model
- Requires custom implementation and integration work
- Limited to ecommerce use cases compared to general search
- Model training requires sufficient customer behavior data
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
Marqo
On requestNo published plan breakdown. See the Marqo review.
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 Marqo if
- You need semantic search.
- You work on Web API, SaaS.
- You also want multimodal image search.
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 Marqo or RisingWave better?
- Neither clearly leads. Marqo starts at On request and RisingWave at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Marqo or RisingWave?
- RisingWave has a free tier; the other does not. Paid plans start at On request for Marqo and Free for RisingWave.
- Does Marqo or RisingWave run on more platforms?
- Marqo runs on Web API, SaaS. RisingWave runs on Linux, Docker, Kubernetes, Cloud.
- Can I use RisingWave for free?
- Yes. RisingWave has a free tier, so you can try it without paying. Marqo starts at On request.
- What is Marqo best used for?
- Marqo is most often used for improve search revenue for fashion and beauty retailers, implement multimodal image and product search, increase checkout conversion through better product discovery, create personalized product recommendations. Of those, improve search revenue for fashion and beauty retailers and implement multimodal image and product search are not what RisingWave is typically brought in for.
- What can Marqo do that RisingWave cannot?
- Marqo covers Semantic search, Multimodal image search, AI model training, Automated merchandising. RisingWave covers SQL materialised views, Postgres wire compatibility, Object storage state, Source connectors.
Answered from the vendors’ own pages
Marqo: How do Marqo models get trained?
Marqo trains dedicated AI models on each retailer's product catalog and customer behavior data including clicks, purchases, and browsing patterns. This ensures models are optimized for the specific retailer's products and customers.
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.
Marqo: What results can retailers expect from Marqo?
Enterprise retailers using Marqo report 10-23% increases in search revenue and conversion rates, with proven results across fashion, beauty, electronics, and home goods.
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.
Marqo: Which ecommerce platforms does Marqo integrate with?
Marqo has native integrations with Shopify, Adobe Commerce (Magento), and Salesforce Commerce Cloud, and also provides API access for custom implementations.
SourceRisingWave: Does it replace Flink?
For SQL-expressible transformations, often yes. For custom stateful processing and complex event handling, no.
Marqo: How is Marqo priced?
Marqo pricing is customized based on catalog size, search volume, and feature requirements. Contact their sales team to book a demo and discuss pricing.
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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