DATADACK VS AWS
The Sovereign AWS Alternative in India
Published VM plans in Noida, priced in rupees against the AWS Mumbai instances this site matches.
Should you switch from AWS?
Move off AWS Mumbai if you run steady, predictable workloads and the bill is dominated by compute. DataDack matches the instance in Noida for a flat rupee price with a GST invoice. Traffic inside a VPC is ₹0/GB. Stay on AWS if you depend on its managed services.
Who should move, and who should stay
Switch to DataDack if
- Steady always-on compute rather than spiky batch
- Teams tired of USD bills and egress surprises
- Workloads that must stay in Indian jurisdiction under the DPDP Act
- Anyone who wants a named engineer instead of a support tier
Stay on AWS if
- You depend on managed AWS services - RDS, DynamoDB, SQS, Lambda at scale
- Your architecture is built on IAM and VPC peering across many accounts
- You have committed spend on a Savings Plan that has not run out
- You need regions outside India
Why teams move from AWS to DataDack
₹
Save 44–53%
Flat monthly or hourly compute in INR. Prices exclude GST. A GST invoice is issued. Traffic inside a VPC is ₹0/GB.
ap-south-3 Noida
Tier-IV facilities in Noida (ap-south-3). Data stays in India. Consent and retention under the DPDP Act stay with your application.
DDoS Protection
Always-on L3/L4 volumetric attack mitigation standard on every single virtual instance.
DataDack vs AWS pricing
A DataDack virtual machine starts at ₹1,150/mo (₹2.53/hr) for 2 vCPU, 4 GB RAM and 30 GB SAS HDD. Prices exclude GST. A GST invoice is issued. Billing is hourly, with a monthly cap. On the plans matched to AWS Mumbai, DataDack is 44–53% lower. The table is those matches.
Reserved monthly rates in the Noida ap-south-3 region, matched instance-for-instance against AWS Mumbai.
| Specification | DataDack | AWS (Mumbai) | You save |
|---|---|---|---|
| 2 vCPU / 4 GB RAM / 30 GB SAS HDD | ₹1,150/mo (₹2.53/hr) | ₹2,210/mo (t3a.medium) | 48% |
| 4 vCPU / 16 GB RAM / 30 GB SSD | ₹6,500/mo (₹14.25/hr) | ₹12,874/mo (t3.xlarge) | 50% |
| 8 vCPU / 16 GB RAM / 30 GB NVMe | ₹11,330/mo (₹24.83/hr) | ₹23,942/mo (c5.2xlarge) | 53% |
- L3/L4 DDoS protection is included on every plan
- One IPv4 address is included
- Traffic inside a VPC is ₹0/GB
- Tenant bandwidth is 1 Gbps shared
Detailed Feature Matrix: DataDack vs AWS
Side-by-side technical and operational benchmark comparison
| Feature / Capability | DataDack Cloud | AWS |
|---|---|---|
| Noida Sovereign Region (ap-south-3) | Tier-IV Datacenter (Yotta & CtrlS) | No Noida Region (Mumbai only) |
| Billing & Currency | Predictable INR (GST Invoice) | USD Billing + Currency Conversion Fees |
| L3/L4 Edge DDoS Scrubbing | Included Standard on All Plans | Paid Add-on (AWS Shield / CloudFront) |
| Data transfer | Traffic inside a VPC is ₹0/GB. Tenant bandwidth is 1 Gbps shared. | Outbound transfer is billed per GB |
| Root Control & KVM Virtualization | Full Root + Custom Kernels | Managed AMI Restrictions |
| Engineering Support | 24/7 Localized Engineers (<15 min response) | $29+/mo Base Developer Support Fee |
Moving off AWS, step by step
- Step 1Inventory what runs on AWS today — instance sizes, disks, open ports and DNS records.
- Step 2Pick the matched DataDack plan and create the instance in the console, in the Noida ap-south-3 region.
- Step 3Move the data: restore from a snapshot or image, or sync the application and database over the VPC.
- Step 4Lower the DNS TTL, cut traffic over to the new IPv4 and verify, then destroy the source instance — billing stops the same hour.
What carries over unchanged
A move off AWS is a re-host, not a rewrite. These come with you as they are:
- Your Linux distro and kernel
- Docker and docker-compose files
- Nginx, Caddy or HAProxy configs
- Your CI pipeline - only the deploy target changes
- SSH keys and your existing automation
- Postgres, MySQL, Redis and their dumps
- Cron jobs and systemd units
- Your domain and TLS certificates
DataDack vs AWS: common questions
- Is DataDack an AWS alternative in India?
- For a virtual machine this site matches to AWS Mumbai, yes. The live region is Noida (ap-south-3). Mumbai is announced and is not a region you can deploy into. The percentage on this page is those matched plans only. It is not a promise about RDS, DynamoDB, SQS, or any service this platform does not sell.
- What should stay on AWS?
- Anything that depends on a managed AWS service: RDS, DynamoDB, SQS, Lambda at scale, or a region outside India. Managed databases and object storage are not on the DataDack rate card yet. API Gateway has no public price on this site. A Savings Plan that has not run out is also a reason to stay.
- How does DataDack's pricing compare with AWS?
- A DataDack virtual machine starts at ₹1,150/mo (₹2.53/hr) for 2 vCPU, 4 GB RAM and 30 GB. On the plans this site matches to AWS Mumbai, that price is 44–53% lower. The range is those plans only. Prices exclude GST. A GST invoice is issued. L3/L4 DDoS and one IPv4 are included. Traffic inside a VPC is ₹0/GB.
- Where do workloads run after moving off AWS?
- In Noida (ap-south-3), inside Tier-IV facilities operated by Yotta NM1 and CtrlS. Data stays in India. Mumbai is announced and is not a region you can deploy into today. Storing data in India is not the same as the DPDP Act duties that stay with your application: consent, purpose and retention remain yours.
- Is DDoS protection included?
- L3/L4 mitigation is included on every VPS and VM, including the smallest plan. It is not a separate line on the DataDack rate card. Whether another provider includes the same thing is that provider's page, not a claim this one makes for them.
- How is bandwidth billed?
- Tenant bandwidth is 1 Gbps shared. Traffic between subnets inside a VPC is ₹0/GB. A NAT gateway is a flat monthly charge, with no per-GB processing surcharge on top. There is no unmetered attachment and no 10 Gbps tenant port.
- How do I move a single instance off AWS?
- Inventory the instance, the disk and the DNS record. Create a published DataDack plan in Noida, restore an image or sync the application and the database, lower the DNS TTL, then cut over. The new instance bills hourly, with a monthly cap. Managed databases and object storage are not on the DataDack rate card yet, so a move that depends on those stays on AWS until they are. Ask on /contact if you want an engineer on the first cutover.