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Databases · head to head

RisingWave vs Teradata

RisingWave logo

RisingWave

Databases

Streaming database that maintains incremental materialised views in SQL instead of Flink jobs

From
Free
Rated
-
Full reviewWebsite
Teradata logo

Teradata

Databases

Long-established enterprise MPP data warehouse, rebranded in 2026 as the Autonomous Knowledge Platform, sold for cloud, on-premises and hybrid.

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only RisingWave has a free tier, so it costs nothing to try first.
  • 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.; Teradata licensing is negotiated rather than published, so there is no way to compare total cost against a consumption-priced warehouse without entering a sales cycle, and the comparison is only ever as good as the workload profile you gave them.
  • They diverge on capability: RisingWave covers SQL materialised views, Teradata covers Massively parallel architecture.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which RisingWave and Teradata actually diverge.

Attributes where RisingWave and Teradata differ
AttributeRisingWaveTeradata
Starting priceFreeOn request
Pricing modelPer RisingWave Unit hourquote
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, CloudWeb

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 RisingWave

  • SQL materialised views
  • Postgres wire compatibility
  • Object storage state
  • Source connectors
  • Sink connectors
  • Iceberg tables
  • Watermarks and windowing
  • User defined functions

Only in Teradata

  • Massively parallel architecture
  • Workload management
  • Mature cost-based optimiser
  • Cloud, on-premises and hybrid
  • Bulk load utilities
  • BTEQ scripting
  • In-database analytics
  • Enterprise Vector Store

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 Teradata
  • A fraud or risk team maintaining rolling counters and joins across event streams expressed as SQL viewsnot Teradata
  • A company doing Postgres CDC into a real-time denormalised view for search or servingnot Teradata
  • An analytics group that wants streaming results landed directly into Apache Iceberg without a separate writer jobnot Teradata

Teradata

  • A large existing Teradata estate where the practical question is which workloads to migrate first rather than whether to adoptnot RisingWave
  • High-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speednot RisingWave
  • Regulated reporting where the same query must produce the same answer for years and the audit trail of the existing implementation has valuenot RisingWave
  • Hybrid deployments where regulatory or data-residency rules keep a portion of the warehouse on-premises while the rest moves to cloudnot 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.

Teradata

  • Licensing is negotiated rather than published, so there is no way to compare total cost against a consumption-priced warehouse without entering a sales cycle, and the comparison is only ever as good as the workload profile you gave them.
  • The SQL dialect and the loading utilities are Teradata-specific, so every stored procedure, macro and BTEQ script written against the platform is migration debt that grows with each release you ship.
  • Primary index choice determines data distribution, and a poorly chosen index concentrates rows on a few processing units, which surfaces as one slow query rather than an error and needs a specialist to diagnose.
  • The skills market is contracting, so DBA and workload-management expertise is expensive to hire, hard to replace when someone retires, and increasingly hard to buy from consultancies whose own bench has moved to cloud warehouses.
  • The 2026 renaming of Vantage, VantageCloud, ClearScape and QueryGrid split documentation, runbooks and vendor material across two naming systems, so searching for an error or a configuration now returns results for a product that is described under a different name.

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

Teradata

On request

No published plan breakdown. See the Teradata 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.
RisingWave review

Choose Teradata if

  • You need massively parallel architecture.
  • You also want workload management.
Teradata review

Questions people ask

Is RisingWave or Teradata better?
Neither clearly leads. RisingWave starts at Free and Teradata at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, RisingWave or Teradata?
RisingWave has a free tier; the other does not. Paid plans start at Free for RisingWave and On request for Teradata.
Does RisingWave or Teradata run on more platforms?
RisingWave runs on Linux, Docker, Kubernetes, Cloud. Teradata runs on Web.
Can I use RisingWave for free?
Yes. RisingWave has a free tier, so you can try it without paying. Teradata starts at On request.
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 Teradata is typically brought in for.
What can RisingWave do that Teradata cannot?
RisingWave covers SQL materialised views, Postgres wire compatibility, Object storage state, Source connectors. Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid.

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.

Teradata: Is Teradata only on-premises?

No. It is sold for cloud, on-premises and hybrid deployment, and the cloud offering is now branded Teradata Cloud. A large part of the installed base is still on-premises or hybrid.

RisingWave: 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.

Teradata: How does it compare to Snowflake or BigQuery?

On raw elasticity and cost transparency the cloud warehouses win. On mixed-workload concurrency management against a large existing query estate Teradata is still hard to replace, which is why migrations off it take years rather than quarters.

RisingWave: Does it replace Flink?

For SQL-expressible transformations, often yes. For custom stateful processing and complex event handling, no.

Teradata: Why do organisations stay on it?

Because the cost of leaving is the estate, not the data. Thousands of procedures, scripts and extracts written in a proprietary dialect have to be rewritten and revalidated, and in regulated reporting that revalidation is the expensive part.

RisingWave: Can I query it like Postgres?

Yes over the Postgres wire protocol, but it is an analytical streaming engine, not a transactional database.

Teradata: What changed in the 2026 rebrand?

Vantage became the Autonomous Knowledge Platform, VantageCloud became Teradata Cloud, ClearScape Analytics became AI Studio and QueryGrid became Fabric. The underlying products are continuous with what came before.

Teradata: Can it handle AI and vector workloads?

It has added an Enterprise Vector Store and in-database analytics branded AI Studio. Whether that is preferable to moving the data into a purpose-built vector store depends on how much of your data already lives in the warehouse.

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