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Snowflake Postgres
Your analytics already live in Snowflake. Your Postgres doesn’t need its own server and invoice — Snowflake Postgres runs managed PostgreSQL 16, 17 or 18 from your Snowflake account, billed in the same credits as your warehouses, in Mumbai on AWS or Pune on Azure — with storage priced per TB and an optional standby.
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How it’s rated
Full scoreboard ↓Quick answer
The Snowflake platform family
This page covers Snowflake Postgres — the managed PostgreSQL engine, generally available since February 2026. The rest:
Quick facts
30-second orientation- Product
- Managed PostgreSQL instances created and run from a Snowflake account
- Maker
- Snowflake Inc., traded as SNOW; chief executive Sridhar Ramaswamy
- Status
- Generally available since 24 February 2026
- Versions
- Postgres 16, 17 and 18 (minors 16.13, 17.9 and 18.3 in Snowflake’s docs)
- Compute
- Credits an hour by instance family, e.g. STANDARD_M 0.0356 on AWS, 0.0376 on Azure
- Storage
- $117.76 per TB a month in AWS Mumbai, $118.21 in Azure Pune
- High availability
- Optional standby that doubles the compute rate and the storage price
- Billing
- One-minute minimum on start or resume, then per second
- India
- AWS ap-south-1 in Mumbai and Azure centralindia in Pune; nothing on GCP in India
- In India via
- TechBag — instance sizing, credit estimate, quote in INR with GST
Understand managed Postgres before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is a managed Postgres service?
The provider runs the PostgreSQL server for you; you get a database to connect to and a bill per hour and per TB.
A self-run Postgres server vs Snowflake Postgres — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | A self-run Postgres server | Snowflake Postgres |
|---|---|---|
| Who runs the server | Your team patches a Postgres VM | Snowflake manages each instance |
| Where the bill lands | A separate host, licence and invoice | Credits on the existing Snowflake bill |
| Sizing a new database | Order a VM, install, tune | Pick a family such as STANDARD_M |
| Surviving a node failure | Build your own replica and failover | Switch on the HA standby, at double cost |
| Keeping data in India | Whatever data centre you rent | Mumbai on AWS, or Pune on Azure |
| What it is NOT | — | Self-hosted, Oracle-compatible, or cheap storage |
The cheapest test is one burstable instance in Mumbai or Pune: load a copy of a real database, run your queries, and read the credit usage after a week.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Instance
Snowflake describes each instance as running on a dedicated virtual machine it manages, created and administered from within your Snowflake account rather than on servers you run.
Family
You pick a family and size such as BURST_XS, STANDARD_M or STANDARD_4XL; each one burns a fixed number of platform credits an hour, with separate AWS and Azure rates.
Storage
Instance storage is charged per TB a month on its own table: $117.76 in AWS Mumbai and $118.21 in Azure Pune, far above the $23 Snowflake charges for analytic storage there.
Standby
Turning on high availability adds a standby and doubles the bill for that instance: STANDARD_M on AWS goes from 0.0356 to 0.0712 credits an hour, and storage to $235.52 per TB.
Instances Snowflake runs for you — sized by family, billed in account credits, with storage per TB and a standby that doubles both.
Six capabilities. Run, protect, meter.
Snowflake Postgres puts a managed transactional database in the same account and bill as your analytics.
Postgres 16, 17 or 18
Three major versions are offered, at minor releases 16.13, 17.9 and 18.3 according to Snowflake’s Postgres documentation.
Burst and standard families
Burstable sizes start at 0.0068 credits an hour on AWS for light loads; standard sizes climb to 0.5696 at STANDARD_4XL.
A standby when you need one
High availability is a per-instance switch; it doubles both the compute credits and the storage rate for that instance.
Mumbai and Pune regions
Postgres is offered on AWS in Mumbai and on Azure in Pune, so a database and its storage can stay inside India.
Billed by the second
After a one-minute minimum on start or resume, compute is charged per second, so a suspended test instance stops costing.
Same credits as analytics
Instance credits are paid at your account’s edition price, so Postgres lands on the bill that already carries your warehouses.
A second database means a second server and a second bill. Snowflake Postgres runs it in the account you already pay for.
Here’s what genuinely sets it apart — and exactly where it stops.
Transactional Postgres beside the warehouse
Snowflake Postgres is created and run from the same Snowflake account that holds your analytics, and its credits are paid at that account’s edition price. A team already on Snowflake gets one contract and one bill for the operational database and the warehouse, with no Postgres host to buy and patch.
A price you can work out before signing
Each instance family has a published hourly credit rate on AWS and Azure, and storage a per-TB rate by region. STANDARD_M on AWS is 0.0356 credits an hour, roughly $0.107 on the $3 Enterprise credit by TechBag’s arithmetic. Quote-only vendors give you no number until a sales call.
Indian regions at the same credit price
Snowflake offers Postgres in its Mumbai region on AWS and its Pune region on Azure. Credits there cost what they do in US East ($2, $3 and $4 for Standard, Enterprise and Business Critical), so an Indian placement adds no uplift to compute, unlike Singapore.
Where it stops
Generally available only since February 2026, it needs a Snowflake account. Storage costs about five times analytic storage, and turning on HA doubles both meters. There is no Oracle layer, no self-hosted edition, no named customer yet, and no Google Cloud option in India.
The numbers behind the platform
What your Snowflake Postgres rollout looks like
List the Postgres databases
Note each database’s version, size, peak load and whether it needs a standby, and which ones sit next to Snowflake data.
Price it from the tables
Map each database to an instance family, multiply its credits by your edition price, and add storage at about $118 a TB.
Stand up one instance
Create a test instance in AWS Mumbai or Azure Pune on Postgres 16, 17 or 18 and load a copy of one real database.
Test the standby and the bill
Turn on high availability for the pilot, force a failover in a quiet hour, and check that compute and storage doubled.
Move production in waves
Cut over the least critical database first, set credit alerts on the account, and keep cold history out of Postgres.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Our order service and our Snowflake warehouse now sit in one account, so finance sees a single credit line for both.”
“We priced STANDARD_M with HA from the consumption table in an afternoon. The EDB route needed three calls to get a number.”
“Storage was the surprise. At about $118 a TB we moved cold history into Snowflake tables and kept Postgres lean.”
“Mumbai was a must for our auditors, and it was there on day one. We still asked for the storage location in the contract.”
“Burstable instances suit our dev branches; they suspend overnight and the per-second billing keeps the cost tiny.”
“It is new, and we waited for a few months of release notes before moving anything that takes card payments onto it.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the managed database market — tap any vendor to see why it sits where it does.
TechBag Managed Database Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Credit rates per instance family are published; GA in February 2026.
India Placement × Postgres Fit
The grid nobody publishes — how many ways a product can keep the database in India vs how close it is to standard PostgreSQL.
Postgres 16–18; AWS Mumbai and Azure Pune only.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Snowflake Postgres vs the managed database field
Against Azure Database for PostgreSQL, EDB Postgres Extended Server, EDB Postgres Advanced Server, MongoDB Atlas and IBM Db2 — on engine, price, storage, high availability, Oracle migration, support, India and exit.
| Dimension | Snowflake Postgres | Azure Database for PostgreSQL | EDB Postgres Extended Server | EDB Postgres Advanced Server | MongoDB Atlas | IBM Db2 |
|---|---|---|---|---|---|---|
| What it is | Managed Postgres engine | Azure’s managed Postgres | Enterprise Postgres | Postgres for Oracle exit | Managed document DB | IBM relational engine |
| Deployment | Snowflake-run only | Azure region you pick | Your servers or EDB’s | Self-run or EDB-managed | Three clouds, managed | On-prem, IBM Cloud, RDS |
| Engine and versions | Postgres 16, 17, 18 | Postgres 14–18 (+11–13) | Close to community | Postgres + PL/SQL layer | MongoDB, not SQL | Db2 SQL dialect |
| Pricing model | Credits per instance-hr | vCore-hour + GB-month | Per core, quoted | Per core subscription | Usage-based clusters | Editions or SaaS hours |
| Published entry price | ~$0.014/hour (est.) | $0.0245/hour B1ms | Not published | Quote only | Free M0 cluster | Free, then $630/month |
| Storage price | $117.76/TB/month | $0.131/GB/month | Your own disks | Disks you provide | Inside cluster price | Per GB on SaaS |
| High availability | Standby doubles cost | 99.99% zone-redundant | PGD to 99.999% | PGD at extra cost | Managed failover | Not detailed here |
| Included vs add-on | Same credits, own rates | PgBouncer, backups in | Support in the plan | Oracle layer included | Search, vectors on Atlas | Edition sets the caps |
| Scale limits | BURST_XS to 4XL | Up to 192 vCores | Licensed cores | Cores you buy | Auto-scaling clusters | 128 vCPU, 40 TB on SaaS |
| Oracle migration path | No Oracle layer | Migration service | Wrong SKU for Oracle | Built for leaving Oracle | A remodel, not a port | Prove PL/SQL in a pilot |
| Support | Ask what plan covers | Paid plan for tech help | From EDB | EDB, in the subscription | Ops run by MongoDB | Written into the quote |
| India storage region | Mumbai and Pune | Four Indian regions | Where you install it | Your servers in India | Indian cloud regions | On-prem; SaaS unlisted |
| Lock-in and exit | Postgres out, bill in | Community engine | Open Postgres base | Oracle features bind | Mongo drivers bind | Db2-specific code |
| Best fit | Postgres by Snowflake | Azure-first teams | Critical Postgres apps | Oracle renewal pending | Document-model apps | Existing Db2 estates |
Which approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Snowflake Postgres if…
- ✓You already run analytics on Snowflake and want the operational Postgres in the same account, contract and credit bill
- ✓You want to price an instance from a published table — family, hours, storage per TB — before talking to anyone
- ✓The database must be stored in India, in Snowflake’s Mumbai (AWS) or Pune (Azure) region
Compare alternatives if…
- ✓You are leaving Oracle and need PL/SQL to keep running — EDB Postgres Advanced Server is built for that
- ✓Storage dominates your bill — Azure lists about $131 per TB in Central India, and self-hosting EDB uses your own disks
- ✓You need the database on your own servers — EDB and Db2 both install on-premises
Do not expect…
- ✓A self-hosted edition, or a Postgres instance without a Snowflake account behind it
- ✓Storage at Snowflake’s $23 analytic rate: Postgres storage runs near $118 a TB each month
- ✓A long track record — general availability came on 24 February 2026
Snowflake Postgres is one of 25 databases & data tools products TechBag carries. The Databases & Data Tools guide narrows them to a shortlist and shows the reasoning. →
What does running Postgres yourself cost you?
Drag the sliders (Postgres instances you run; DBA-hour cost). Estimates model the staff time spent patching, sizing and building failover for self-run Postgres servers at an assumed 1.5 hours per instance a year, with 70% of it removed by a managed service. Both figures are assumptions, and the service’s own credit and storage charges are not included. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Published, in credits. Each instance family burns a fixed number of platform credits an hour — BURST_XS 0.0068 and STANDARD_M 0.0356 on AWS, STANDARD_M 0.0376 on Azure — paid at your edition’s credit price ($2 Standard, $3 Enterprise, $4 Business Critical in Mumbai and Pune). High availability doubles the rate. Storage is $117.76 per TB a month in AWS Mumbai and $118.21 in Azure Pune, doubled with HA. Billing has a one-minute minimum, then runs per second. TechBag sizes your databases first, then quotes in INR with GST.
Single instance
Best for dev, test and non-critical databases
- Credits per hour by instance family
- BURST_XS from 0.0068 credits an hour on AWS
- Storage $117.76 per TB a month in Mumbai
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
High availability
Best for production databases that cannot stop
- Standby doubles the credit rate
- STANDARD_M HA: 0.0712 credits an hour on AWS
- Storage $235.52 per TB a month in Mumbai
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Do you already have a Snowflake account and edition? Postgres credits are paid at that edition’s price.
Are your databases on, or ready for, Postgres 16, 17 or 18? Older majors need an upgrade before the move.
Which instance family fits each database, and does a burstable size cover the dev and test copies?
How many TB will you hold? At about $118 a TB a month, archiving cold rows elsewhere may pay for itself.
Which databases need the HA standby, knowing it doubles both compute credits and storage for each one?
Mumbai on AWS or Pune on Azure? Ask for the storage location in the contract as well as the console.
Does any database depend on PL/SQL? There is no Oracle layer, so price the rewrite or look at EDB.
Will any script that signs in with only a password break when Snowflake’s MFA rollout completes this October?
Questions buyers ask
Ready to evaluate Snowflake Postgres?
Map your Postgres databases to instance families first, or let a TechBag advisor price them with and without high availability and compare Azure and EDB on the same numbers.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.