Software · head to head
Dgraph vs Teradata
Teradata
Software
Autonomous Knowledge Platform for Enterprise AI
- From
- On request
- Rated
- -
The short version
- Only Dgraph has a free tier, so it costs nothing to try first.
- Each has a real cost: Dgraph the GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README; Teradata no pricing is disclosed on the site; buyers must contact sales or use a free evaluation program to get a quote, per teradata.com, August 2026
Where they differ
Only the attributes on which Dgraph and Teradata actually diverge.
Identical on both: user rating (Not yet rated), category (Unknown).
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 Dgraph
- Native GraphQL
- Distributed Architecture
- ACID Transactions
- GraphQL Subscriptions
- Full-text Search
- Geolocation Queries
- Horizontal Scaling
- GraphQL
Only in Teradata
Nothing recorded that Dgraph does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Dgraph
- Knowledge graphsnot Teradata
- Fraud detectionnot Teradata
- Recommendation enginesnot Teradata
- Network analysisnot Teradata
- Master data managementnot Teradata
Teradata
No use cases recorded yet. See the Teradata review.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dgraph
- The GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
Teradata
- No pricing is disclosed on the site; buyers must contact sales or use a free evaluation program to get a quote, per teradata.com, August 2026
Pricing, plan by plan
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- Enterprise support
Teradata
On requestNo published plan breakdown. See the Teradata review.
Which should you pick?
Choose Dgraph if
- You need native graphql.
- You want to start without paying.
- You work on Linux, Mac, Docker, Web.
- You also want distributed architecture.
Choose Teradata if
Nothing in the data separates Teradata from Dgraph on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Dgraph or Teradata better?
- Neither clearly leads. Dgraph 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, Dgraph or Teradata?
- Dgraph has a free tier; the other does not. Paid plans start at Free for Dgraph and On request for Teradata.
- Does Dgraph or Teradata run on more platforms?
- Dgraph runs on Linux, Mac, Docker, Web. Teradata runs on Web.
- Can I use Dgraph for free?
- Yes. Dgraph has a free tier, so you can try it without paying. Teradata starts at On request.
- What is Dgraph best used for?
- Dgraph is most often used for knowledge graphs, fraud detection, recommendation engines, network analysis. Of those, knowledge graphs and fraud detection are not what Teradata is typically brought in for.
- What can Dgraph do that Teradata cannot?
- Dgraph covers Native GraphQL, Distributed Architecture, ACID Transactions, GraphQL Subscriptions.
Related pages
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