Databases · head to head
SurrealDB vs Teradata

SurrealDB
Databases
Multi-model database combining documents, graphs, vectors and time-series
- From
- Free
- Rated
- -

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
- -
The short version
- Only SurrealDB has a free tier, so it costs nothing to try first.
- Each has a real cost: SurrealDB the listed $0.192/node/hr Scale pricing lacks transparent higher-tier rates, requiring a sales conversation for full production sizing.; 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: SurrealDB covers Multi-model engine, Teradata covers Massively parallel architecture.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which SurrealDB and Teradata 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 SurrealDB
- Multi-model engine
- ACID transactions
- Hybrid retrieval
- Horizontal scaling
- Multi-region disaster recovery
- FIPS-compliant cryptography
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.
SurrealDB
- AI agent memory and retrieval-augmented generationnot Teradata
- Applications needing documents, graphs and vectors in one databasenot Teradata
- Knowledge graph construction from unstructured datanot Teradata
- Regulated workloads requiring SOC2/ISO27001/HIPAA-eligible hostingnot Teradata
Teradata
- A large existing Teradata estate where the practical question is which workloads to migrate first rather than whether to adoptnot SurrealDB
- High-concurrency mixed workloads where hundreds of analysts and scheduled jobs contend and predictable prioritisation matters more than peak single-query speednot SurrealDB
- Regulated reporting where the same query must produce the same answer for years and the audit trail of the existing implementation has valuenot SurrealDB
- Hybrid deployments where regulatory or data-residency rules keep a portion of the warehouse on-premises while the rest moves to cloudnot SurrealDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
SurrealDB
- The listed $0.192/node/hr Scale pricing lacks transparent higher-tier rates, requiring a sales conversation for full production sizing.
- As a newer multi-model database, it has a smaller ecosystem of drivers, ORMs and community tooling than established single-model databases.
- HIPAA compliance is only available as an Enterprise add-on rather than included in standard paid tiers.
- Combining multiple data models in one engine can add query-planning complexity compared to purpose-built single-model databases.
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
SurrealDB
Free- StartFree
- 1 free instance, then from $0.021/hr
- 1GB storage free forever
- Vertical scaling to terabytes
- Scale$0.192/month
- $0.192/node/hr
- Production-grade fault tolerance
- Horizontal scaling to petabytes
- Enterprise$undefined/month
- Self-hosted, custom pricing
- Clustered fault-tolerant deployments
- FIPS-compliant cryptography
Teradata
On requestNo published plan breakdown. See the Teradata review.
Which should you pick?
Choose SurrealDB if
- You need multi-model engine.
- You want to start without paying.
- You work on web, api, windows, mac, linux.
- You also want acid transactions.
Choose Teradata if
- You need massively parallel architecture.
- You also want workload management.
Questions people ask
- Is SurrealDB or Teradata better?
- Neither clearly leads. SurrealDB 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, SurrealDB or Teradata?
- SurrealDB has a free tier; the other does not. Paid plans start at Free for SurrealDB and On request for Teradata.
- Does SurrealDB or Teradata run on more platforms?
- SurrealDB runs on web, api, windows, mac, linux. Teradata runs on Web.
- Can I use SurrealDB for free?
- Yes. SurrealDB has a free tier, so you can try it without paying. Teradata starts at On request.
- What is SurrealDB best used for?
- SurrealDB is most often used for ai agent memory and retrieval-augmented generation, applications needing documents, graphs and vectors in one database, knowledge graph construction from unstructured data, regulated workloads requiring soc2/iso27001/hipaa-eligible hosting. Of those, ai agent memory and retrieval-augmented generation and applications needing documents, graphs and vectors in one database are not what Teradata is typically brought in for.
- What can SurrealDB do that Teradata cannot?
- SurrealDB covers Multi-model engine, ACID transactions, Hybrid retrieval, Horizontal scaling. Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid.
Answered from the vendors’ own pages
SurrealDB: What does SurrealDB cost?
SurrealDB Cloud's Start plan is free with one free instance (then from $0.021/hr), the Scale plan runs $0.192/node/hr for production workloads, and Enterprise self-hosted deployments use custom pricing.
SourceTeradata: 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.
SurrealDB: Is there a free plan and what are its limits?
Yes, the Start plan includes one free instance with 1GB of storage free forever and 1GB of outbound data transfer per month, aimed at prototypes and development.
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.
SurrealDB: How is billing handled?
Customers are invoiced monthly based on actual usage in a pay-as-you-go model with no long-term commitments, though commitment-based discounts are available.
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.
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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