data · open source
Pinecone development
Managed vector database built for large-scale similarity search.
- Category
- data
- Vendor
- Open source
- We use it for
- 2 capabilities
The honest assessment
- What it is
- Managed vector database built for large-scale similarity search.
- Strongest at
- scales past where Postgres vector search starts to strain, with little operational work
- Trade-off
- another system, another bill, and no joins to your relational data
- Category
- data
- Vendor
- Open source
We hold no reseller commission on Pinecone. That is what makes the trade-off line above worth reading. It costs us nothing to tell you when this is the wrong choice.
Building with Pinecone
Pinecone is strongest at scales past where Postgres vector search starts to strain, with little operational work. We reach for it when that is the property a workload actually depends on, and we say so when it is not.
The case for a managed vector database is operational rather than technical: someone else handles index tuning, replication and scaling. That is worth real money once vector volume is large enough that those become full-time concerns.
Below that point the cost is a second system, a second bill, and losing the ability to join vectors against your relational data in one query. Most projects we see reach for it earlier than the workload justifies.
Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move. Six weeks to something running in production, not six quarters to a strategy document.
What we build on Pinecone
Alternatives in data
Questions
What is Pinecone best at?
Scales past where Postgres vector search starts to strain, with little operational work.
When would you not use Pinecone?
Another system, another bill, and no joins to your relational data. We would look at pgvector or Elasticsearch in that situation.
Do you have a commercial relationship with Pinecone?
No. We hold no reseller commission on any technology we recommend, which is what lets the trade-off above be stated plainly.
Can you work with our existing Pinecone setup?
Yes. We would rather extend and stabilise something that already works than introduce a parallel system your team has to learn.
Working with Pinecone?
Tell us the workload and we will tell you whether this is the right tool for it.
Or email bd@dtrasglobal.com · call +91 74118 77878