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Databases · head to head

Apache Doris vs Teradata

Apache Doris logo

Apache Doris

Databases

MPP analytical database with a MySQL wire protocol and sub-second aggregation on wide tables

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 Apache Doris has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Doris two competing commercial vendors, VeloDB and SelectDB, were founded by overlapping core contributors, which makes the long-term governance and roadmap of the project harder to predict than a single-sponsor project.; 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: Apache Doris covers MySQL wire protocol, Teradata covers Massively parallel architecture.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Apache Doris and Teradata actually diverge.

Attributes where Apache Doris and Teradata differ
AttributeApache DorisTeradata
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsLinux, Docker, KubernetesWeb

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 Apache Doris

  • MySQL wire protocol
  • Aggregate and unique key models
  • Materialised views
  • Multi-catalogue federation
  • Routine load from Kafka
  • Compute storage separation
  • Inverted indexes
  • Workload groups

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.

Apache Doris

  • A team whose MySQL read replica can no longer serve reporting queries and wants an OLAP engine its existing drivers already speaknot Teradata
  • A real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent usersnot Teradata
  • An ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only OLAP engines handle badlynot Teradata
  • A data team that wants one SQL endpoint over both internal tables and existing Hive or Iceberg tables in the lakenot Teradata

Teradata

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Doris

  • Two competing commercial vendors, VeloDB and SelectDB, were founded by overlapping core contributors, which makes the long-term governance and roadmap of the project harder to predict than a single-sponsor project.
  • A large share of design discussion, issue reports and documentation detail originates in Chinese, so teams that do not read it get a thinner picture of known problems and workarounds.
  • Operating a cluster means managing frontend and backend node roles, tablet balancing and compaction tuning, and compaction backlogs under heavy upsert load are a recurring production complaint.
  • The MySQL protocol compatibility is at the wire level, not full MySQL semantics, so queries and functions still need porting and the familiarity can mislead.
  • Managed cloud availability outside China and major clouds is limited compared with ClickHouse or Snowflake, so many Western adopters end up self-hosting whether they wanted to or not.

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

Apache Doris

Free
  • Apache DorisFree
    • Apache 2.0 licence with no usage restrictions
    • All engine features included
    • Community support via mailing list and Slack

Teradata

On request

No published plan breakdown. See the Teradata review.

Which should you pick?

Choose Apache Doris if

  • You need mysql wire protocol.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want aggregate and unique key models.
Apache Doris review

Choose Teradata if

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

Questions people ask

Is Apache Doris or Teradata better?
Neither clearly leads. Apache Doris 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, Apache Doris or Teradata?
Apache Doris has a free tier; the other does not. Paid plans start at Free for Apache Doris and On request for Teradata.
Does Apache Doris or Teradata run on more platforms?
Apache Doris runs on Linux, Docker, Kubernetes. Teradata runs on Web.
Can I use Apache Doris for free?
Yes. Apache Doris has a free tier, so you can try it without paying. Teradata starts at On request.
What is Apache Doris best used for?
Apache Doris is most often used for a team whose mysql read replica can no longer serve reporting queries and wants an olap engine its existing drivers already speak, a real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent users, an ad or ecommerce platform that needs updates and deletes on analytical tables, which append-only olap engines handle badly, a data team that wants one sql endpoint over both internal tables and existing hive or iceberg tables in the lake. Of those, a team whose mysql read replica can no longer serve reporting queries and wants an olap engine its existing drivers already speak and a real-time dashboard backend needing sub-second aggregation over billions of rows with hundreds of concurrent users are not what Teradata is typically brought in for.
What can Apache Doris do that Teradata cannot?
Apache Doris covers MySQL wire protocol, Aggregate and unique key models, Materialised views, Multi-catalogue federation. Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid.

Answered from the vendors’ own pages

Apache Doris: Is Apache Doris really free?

Yes, it is Apache 2.0 with no usage restrictions. The commercial products are managed services from VeloDB and SelectDB.

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.

Apache Doris: Can I use my MySQL tools with it?

Yes, it implements the MySQL wire protocol, so clients and BI connectors attach without a new driver, though SQL semantics differ.

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.

Apache Doris: How does it compare with ClickHouse?

Doris handles updates and high concurrency more comfortably; ClickHouse is generally faster on raw single-query scan throughput and has far wider Western support.

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.

Apache Doris: Who maintains it?

The Apache Software Foundation project, with most committers employed by VeloDB or SelectDB.

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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