Databases · head to head
RisingWave vs YugabyteDB

RisingWave
Databases
Streaming database that maintains incremental materialised views in SQL instead of Flink jobs
- From
- Free
- Rated
- -

YugabyteDB
Databases
Open source distributed SQL database for cloud native apps
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility
- They diverge on capability: RisingWave covers SQL materialised views, YugabyteDB covers PostgreSQL Compatible.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which RisingWave and YugabyteDB actually diverge.
| Attribute | RisingWave | YugabyteDB |
|---|---|---|
| Pricing model | Per RisingWave Unit hour | Unknown |
| Platforms | Linux, Docker, Kubernetes, Cloud | Cloud, On-premises, Kubernetes |
| Founded | Unknown | 2016 |
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 RisingWave
- SQL materialised views
- Postgres wire compatibility
- Object storage state
- Source connectors
- Sink connectors
- Iceberg tables
- Watermarks and windowing
- User defined functions
Only in YugabyteDB
- PostgreSQL Compatible
- Distributed SQL
- Geo-distribution
- Linear Scalability
- High Availability
- ACID Transactions
- CDC Support
- PostgreSQL
What people use each for
The jobs each tool is most often brought in to do.
RisingWave
- A team with Kafka topics that needs continuously fresh aggregates for a dashboard without standing up a Flink clusternot YugabyteDB
- A fraud or risk team maintaining rolling counters and joins across event streams expressed as SQL viewsnot YugabyteDB
- A company doing Postgres CDC into a real-time denormalised view for search or servingnot YugabyteDB
- An analytics group that wants streaming results landed directly into Apache Iceberg without a separate writer jobnot YugabyteDB
YugabyteDB
- Transaction processingnot RisingWave
- Data storagenot RisingWave
- Application backendnot RisingWave
- Reportingnot RisingWave
- Data analyticsnot RisingWave
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal 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.
- 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.
YugabyteDB
- Missing PostgreSQL functions and extensions despite claiming compatibility
- Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
- Requires careful isolation level management or risk data corruption in production
- Lacks built-in OLAP capabilities, requiring external systems for analytics
- Coupled compute and storage scaling reduces optimization flexibility
Pricing, plan by plan
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
YugabyteDB
FreeNo published plan breakdown. See the YugabyteDB review.
Which should you pick?
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.
Choose YugabyteDB if
- You need postgresql compatible.
- You want to start without paying.
- You work on Cloud, On-premises, Kubernetes.
- You also want distributed sql.
Questions people ask
- Is RisingWave or YugabyteDB better?
- Neither clearly leads. RisingWave starts at Free and YugabyteDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, RisingWave or YugabyteDB?
- RisingWave starts at Free and YugabyteDB at Free.
- Does RisingWave or YugabyteDB run on more platforms?
- RisingWave runs on Linux, Docker, Kubernetes, Cloud. YugabyteDB runs on Cloud, On-premises, Kubernetes.
- Can I use RisingWave for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is RisingWave best used for?
- RisingWave is most often used for a team with kafka topics that needs continuously fresh aggregates for a dashboard without standing up a flink cluster, a fraud or risk team maintaining rolling counters and joins across event streams expressed as sql views, a company doing postgres cdc into a real-time denormalised view for search or serving, an analytics group that wants streaming results landed directly into apache iceberg without a separate writer job. Of those, a team with kafka topics that needs continuously fresh aggregates for a dashboard without standing up a flink cluster and a fraud or risk team maintaining rolling counters and joins across event streams expressed as sql views are not what YugabyteDB is typically brought in for.
- What can RisingWave do that YugabyteDB cannot?
- RisingWave covers SQL materialised views, Postgres wire compatibility, Object storage state, Source connectors. YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, Linear Scalability.
Answered from the vendors’ own pages
RisingWave: 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.
YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?
No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.
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.
YugabyteDB: What isolation levels does YugabyteDB support?
YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.
SourceRisingWave: Does it replace Flink?
For SQL-expressible transformations, often yes. For custom stateful processing and complex event handling, no.
YugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?
Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.
SourceRisingWave: Can I query it like Postgres?
Yes over the Postgres wire protocol, but it is an analytical streaming engine, not a transactional database.
YugabyteDB: Can YugabyteDB scale compute and storage independently?
No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.
SourceRelated pages
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