Databases · head to head
Teradata vs Zilliz
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
- -
Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Only Zilliz has a free tier, so it costs nothing to try first.
- Each has a real cost: 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.; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: Teradata covers Massively parallel architecture, Zilliz covers Vector indexing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Teradata and Zilliz actually diverge.
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 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
Only in Zilliz
- Vector indexing
- Distributed architecture
- SQL interface
- Tensor support
- Real-time search
- Cloud-native
- Open-source compatible
What people use each for
The jobs each tool is most often brought in to do.
Teradata
- A large existing Teradata estate where the practical question is which workloads to migrate first rather than whether to adoptnot Zilliz
- High-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speednot Zilliz
- Regulated reporting where the same query must produce the same answer for years and the audit trail of the existing implementation has valuenot Zilliz
- Hybrid deployments where regulatory or data-residency rules keep a portion of the warehouse on-premises while the rest moves to cloudnot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Teradata
- Implement semantic search over documentsnot Teradata
- Create multimodal search with text and imagesnot Teradata
- Power recommendation engines with vector similaritynot Teradata
- Enable similarity search on user embeddingsnot Teradata
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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.
Zilliz
- Pricing structure not publicly disclosed, requires sales contact
- Operational complexity for self-hosted Milvus deployments
- Learning curve for those unfamiliar with vector databases
- Limited built-in analytics compared to some alternatives
Pricing, plan by plan
Teradata
On requestNo published plan breakdown. See the Teradata review.
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose Teradata if
- You need massively parallel architecture.
- You also want workload management.
Choose Zilliz if
- You need vector indexing.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want distributed architecture.
Questions people ask
- Is Teradata or Zilliz better?
- Neither clearly leads. Teradata starts at On request and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Teradata or Zilliz?
- Zilliz has a free tier; the other does not. Paid plans start at On request for Teradata and Free for Zilliz.
- Does Teradata or Zilliz run on more platforms?
- Teradata runs on Web. Zilliz runs on Cloud, Self-hosted.
- Can I use Zilliz for free?
- Yes. Zilliz has a free tier, so you can try it without paying. Teradata starts at On request.
- What is Teradata best used for?
- Teradata is most often used for a large existing teradata estate where the practical question is which workloads to migrate first rather than whether to adopt, high-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speed, regulated reporting where the same query must produce the same answer for years and the audit trail of the existing implementation has value, hybrid deployments where regulatory or data-residency rules keep a portion of the warehouse on-premises while the rest moves to cloud. Of those, a large existing teradata estate where the practical question is which workloads to migrate first rather than whether to adopt and high-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speed are not what Zilliz is typically brought in for.
- What can Teradata do that Zilliz cannot?
- Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
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.
Zilliz: What is the difference between Milvus and Zilliz Cloud?
Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.
SourceTeradata: 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.
Zilliz: How many vectors can Zilliz handle?
Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.
SourceTeradata: 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.
Zilliz: Is Milvus open-source?
Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.
SourceTeradata: 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.
Zilliz: What pricing does Zilliz Cloud offer?
Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.
SourceTeradata: 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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