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Developer Tools · head to head

Fig vs Teradata

F

Fig

Developer Tools

IDE-style autocomplete for your existing terminal

From
Free
Free plan
Yes
Visit FigFull review
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
Free plan
No
Visit TeradataFull review

The short version

  • Fig is free; Teradata prices on request.
  • Where Fig falls short: the standalone desktop app is no longer available or supported.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Fig and Teradata actually diverge.

Attributes where Fig and Teradata differ
AttributeFigTeradata
Starting priceFreeOn request
Pricing modelFreemiumQuote
Free tierYesNo
CategoryDeveloper ToolsDatabases

Identical on both: platforms (Web).

Not yet recorded: founded for Teradata.

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 Fig

Nothing recorded that Teradata does not also cover.

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.

Fig

No use cases recorded yet. See the Fig review.

Teradata

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

Where each one falls short

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

Fig

  • Shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
  • The standalone desktop app is no longer available or supported
  • The completion specs remain open source on GitHub, but the product that consumed them is gone

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

Fig

Free

No published plan breakdown. See the Fig review.

Teradata

On request

No published plan breakdown. See the Teradata review.

Which should you pick?

Choose Fig if

  • You want to start without paying.
Fig review

Choose Teradata if

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

Questions people ask

Is Fig or Teradata better?
Neither clearly leads. Fig 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, Fig or Teradata?
Fig has a free tier; the other does not. Paid plans start at Free for Fig and On request for Teradata.
Does Fig or Teradata run on more platforms?
Both run on Web, so platform support will not decide this one for you.
Can I use Fig for free?
Yes. Fig has a free tier, so you can try it without paying. Teradata starts at On request.
What can Fig do that Teradata cannot?
Teradata covers Massively parallel architecture, Workload management, Mature cost-based optimiser, Cloud, on-premises and hybrid.

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.

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.

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.

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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