Looking for an E2E Networks alternative? Here is what changes.

If you are on E2E Networks, you already made the harder decision — you chose real cloud primitives over shared hosting. This page is not about convincing you that cloud is the right shape. It is about what actually moves if you retarget from E2E to The Wahda Cloud: the same kind of open, standard building blocks, a different pricing structure, a different support model, and — for teams that have run into per-GB object-storage egress or a short managed-database engine list — a different set of primitives entirely.

The Wahda Cloud is an India-incorporated cloud built in Faridabad. ₹0 egress across compute and storage, managed PostgreSQL, MySQL and Redis as first-class services, managed Kubernetes up to 100 worker nodes, and ₹-priced plans from ₹599/month. Below is the side-by-side, the migration map, and a worked stack you can copy.

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What you get on Wahda from day one

₹599/mo entry tier — t1.nano: 1 vCPU / 1 GB RAM / 25 GB SSD / 1 TB transfer
Managed databases as first-class services — PostgreSQL, MySQL and Redis
Managed Kubernetes up to 100 worker nodes per cluster
S3-compatible object storage at ₹0/GB egress — no split pricing between compute and storage transfer
Faridabad, Haryana — in-north-az1
99.99% SLA; 15-minute critical-incident response

₹599/mo entry
₹0 egress
in-north-az1 (Faridabad)
99.99% SLA

What actually changes

Both providers publish real numbers, but not always at the same resolution — E2E's exact CPU compute SKUs sit behind portal sign-in, while its public site does publish a cost range, its managed-database starting rate, its object-storage egress rate and its data-center cities. Every cell below comes from each provider's own public pages, accessed 2026-08-14.

Comparison row	E2E Networks	The Wahda Cloud
Entry-tier compute price (INR / month, published)¹	₹1,500–2,500/mo for a 2 vCPU / 8 GB RAM node — the smallest spec E2E publishes a price range for; exact SKU pricing for smaller nodes requires portal sign-in	₹599/mo — t1.nano (1 vCPU / 1 GB RAM / 25 GB SSD / 1 TB transfer), listed openly, no sign-in required
Billing currency and invoicing²	₹-billed, hourly and committed-term plans; GST invoicing offered	INR billing via Razorpay; GST-compliant invoices on every payment
Egress / data-transfer cost³	₹3/GB for Object Storage (EOS) transfer to the public internet; no separate charge for compute-instance data transfer — a split model	₹0/GB egress across compute and object storage, within published transfer allowances
Managed Kubernetes⁴	Yes — standard Kubernetes with selectable versions, Ceph RBD CSI storage, MetalLB load balancing and autoscaling node pools; maximum cluster size not published	Yes — up to 100 worker nodes per cluster, autoscaling node pools
Managed database engines²	PostgreSQL, MySQL and MariaDB. No managed Redis.	PostgreSQL, MySQL and Redis — all first-class managed services
Cross-region database replication²	Yes — cross-region read replicas between Delhi NCR and Chennai via VPC peering, with one-action promotion to master	Not yet. Wahda operates a single availability zone today — in-north-az1 (Faridabad). No multi-region claim.
Uptime SLA (published)²	99.9% uptime SLA, stated on both the Kubernetes and database product pages	99.99% SLA (≤ 52 minutes/year downtime); 15-minute critical-incident response
Data-center locations named²	Delhi NCR and Chennai	Faridabad, Haryana — in-north-az1

¹ E2E Networks compute cost range: e2enetworks.com/cloud-terms/cloud-computing-dictionary/cloud-cost-india. All The Wahda Cloud figures in this table: thewahda.com/en/pricing. Both accessed 2026-08-14.
² E2E Networks managed-database engines, cross-region replicas, data-center cities, billing model and published uptime SLA: e2enetworks.com/database-as-a-service, accessed 2026-08-14.
³ E2E Networks object-storage egress rate: docs.e2enetworks.com/docs/myaccount/storage/object_storage/faq/ and e2enetworks.com/ai-object-storage, both accessed 2026-08-14.
⁴ E2E Networks managed Kubernetes capabilities and published uptime SLA: e2enetworks.com/managed-kubernetes, accessed 2026-08-14.

The honest read of the table

E2E Networks is not a hosting company graduating you to cloud — it already is cloud, and on two rows it is ahead of Wahda today: cross-region database replicas between Delhi NCR and Chennai, and a longer operating history as a publicly listed company. If multi-region failover for your database is a hard requirement right now, that is a real reason to stay where you are. Where Wahda pulls ahead is narrower and more specific: a flat ₹0 egress model instead of a split compute-versus-storage price, managed Redis as a first-class service alongside PostgreSQL and MySQL, and a published self-serve rate card down to the smallest instance — no portal sign-in required to see what a workload will cost.

What stays the same, what changes

You are not moving off hosting — you are retargeting a cloud-shaped workload at a different cloud. The friction is almost entirely operational, not architectural, because both platforms speak the same open primitives. That is worth knowing before you read any price math.

What stays the same

Your Kubernetes manifests. Both platforms run standard, vanilla Kubernetes — no proprietary control-plane fork on either side. Deployments, Services and Ingress objects do not need rewriting; only your StorageClass and LoadBalancer annotations change.
Your object-storage tooling. E2E's Object Storage (EOS) is S3-compatible and so is Wahda's — boto3, s3cmd and rclone scripts work against either endpoint with a credential and endpoint-URL swap. Bucket-to-bucket sync is a one-command rclone job.
Your database engine, if you run PostgreSQL or MySQL. Connection strings, ORMs and query behaviour are unchanged — you are moving the same engine to a new host, not switching engines.
Your domain registrar and DNS provider. Wahda is not a registrar; keep both wherever they are today and flip records at cutover.
Your application code. Whatever runs in a container or on a standard Linux VM today runs the same way on Wahda.

What changes

The control plane and console. Different UI, different project and IAM model, different API base URL. This is the actual porting work, and it is mostly environment variables and API client configuration — not application logic.
The billing model. E2E prices compute per hour with committed-term discounts and a separate ₹3/GB object-storage egress charge; Wahda is flavor-priced, pay-as-you-go, with transfer folded into the flat ₹0 model.
One fewer vendor, if you run managed Redis somewhere else today because your current provider's managed-database list stops at PostgreSQL, MySQL and MariaDB. On Wahda, Redis is a first-class managed service next to the other two.
The support channel. 15-minute critical-incident response, IST timezone, founder-accessible for early customers.

What you actively need to plan for

A database dump-and-restore window. Standard pg_dump or mysqldump out, restore onto Wahda's managed database. Because the engines match, this is a data-migration task, not a schema-conversion task.
A DNS cutover at your registrar. Lower your TTL a day ahead so the switch is minutes, not hours.
An object-storage bucket sync via rclone if you keep media or backups in EOS. Budget for the transfer time and for the one-time ₹3/GB export charge on the way out.
An infrastructure-as-code and API-client retarget: any script or CI job pointed at your current API base URL needs the new endpoint and credentials. Wahda exposes standard cloud APIs and every resource is scriptable — this is a retarget, not a rebuild.
Your failover story, if you rely on cross-region database replicas today. Wahda is single-AZ (in-north-az1) until a second zone ships — see the FAQ below for the unvarnished version.

A worked example: retargeting a compute + managed-database workload

You are running a small production workload on E2E today: a CPU compute node in the 2 vCPU / 8 GB RAM class — E2E's own published range is ₹1,500–2,500/month — plus a managed PostgreSQL or MySQL instance on its DBaaS, where E2E states pricing starts at ₹9/hr for managed nodes (roughly ₹6,480/month run 24×7), with smaller dev-tier instances from around ₹2/hr.

Here is the Wahda equivalent, sized to the same workload class and with the managed database included rather than billed as a separate line.

Resource on Wahda	What it does	INR / month
m1.large instance — 8 vCPU / 32 GB RAM / 400 GB SSD / 5 TB transfer	Your app server, with headroom above the 2 vCPU / 8 GB class	₹8,999
Managed database instance	PostgreSQL, MySQL or Redis — one instance included on the m1.large (Professional) tier	Included
S3-compatible object storage	Your media and backups, with ₹0/GB egress	Included
Subtotal — app server + managed database + object storage		₹8,999

For comparison: the equivalent stack on E2E — a 2 vCPU / 8 GB compute node at ₹1,500–2,500/month, plus a production-tier managed database at roughly ₹6,480/month on the ₹9/hr rate E2E publishes, plus object storage at ₹2.5/GB/month, plus ₹3/GB on any external object-storage egress — lands in a comparable-to-higher range once the database and the transfer are priced in, with the database billed and scaled as its own line item.

If your workload is lighter — a single service with no managed database yet — the s1.small flavor at ₹1,599/month (2 vCPU / 4 GB RAM / 80 GB SSD / 3 TB transfer) is the closer match to the smallest published compute class, with managed databases, Kubernetes and Redis available to add as the workload grows.

Wahda prices from thewahda.com/en/pricing, accessed 2026-08-14. E2E figures from its own public product pages, accessed 2026-08-14 and cited in the table above. We do not invent numbers on either side.

Built on open standards, so the switch is a retarget, not a rebuild

Both providers are built on open, standard cloud primitives: standard Kubernetes with no proprietary control-plane fork, S3-compatible object storage, ordinary PostgreSQL, MySQL and Redis connection strings, and standard cloud APIs. Neither one asks you to learn a proprietary SDK to run a workload. That is exactly why this comparison reads differently from a shared-hosting comparison — you are not learning cloud for the first time, you are pointing existing cloud-shaped tooling at a different API base URL, a different StorageClass and a different bill.

The practical consequence is scope. A single-service migration here is measured in days, not months: DNS, a dump-and-restore, a bucket sync, and an IaC retarget. And Wahda's APIs are equally open on the way back out — every resource is scriptable, and nothing here is designed to be harder to leave than it was to join. We do not sell lock-in.

The ₹ ladder, end to end

Tier	Monthly	What it fits
t1.nano	₹599	Dev boxes, prototypes, side projects
s1.small	₹1,599	Small production app, single instance
s1.medium	₹3,199	Mid-traffic production — Node, Django, APIs
m1.large (Professional)	₹8,999	Production workload with one managed database instance included
Enterprise	Custom	Reserved 1-year and 3-year discounts

14-day free trial. No setup fee. Cancel any time during the trial.

Frequently asked questions

Does The Wahda Cloud have GPU instances like E2E?

Not today. E2E has built a substantial GPU cloud business — B200, H200, H100, A100 and several other NVIDIA GPU classes, priced transparently per hour. If GPU compute for training or inference is the core of your workload, that is a real capability Wahda does not currently offer. Wahda's focus today is CPU compute, managed databases, managed Kubernetes and object storage for general production workloads.

Does Wahda have multi-region or multi-AZ, like E2E's Delhi–Chennai database replicas?

No, not yet. E2E offers cross-region read replicas between Delhi NCR and Chennai with one-action promotion to master. Wahda operates a single availability zone today — in-north-az1 in Faridabad — with redundancy at the power, networking and storage layers inside that zone, but no second region. If cross-region database failover is a hard requirement, that is a genuine reason E2E may be the better fit for you right now.

Is a migration from E2E really a retarget rather than a rebuild?

For most workloads, yes. If you are running standard Kubernetes workloads, S3-compatible object storage and PostgreSQL or MySQL, the primitives match on both sides. The work is a database dump-and-restore, a bucket sync, a DNS cutover and repointing any infrastructure-as-code or API client at Wahda's endpoints. It stops being a simple retarget if you depend on capabilities Wahda does not have yet — GPU instances and cross-region database replicas being the two biggest examples.

Does Wahda have managed Redis?

Yes. Managed PostgreSQL, MySQL and Redis are all first-class services on Wahda. E2E's published managed-database engine list is PostgreSQL, MySQL and MariaDB, with no managed Redis. If you currently run Redis on a separate provider for that reason, moving to Wahda consolidates it into one bill.

How does egress actually compare?

E2E does not charge for data transfer to or from compute instances, but does charge ₹3/GB for data leaving its Object Storage service to the public internet. Wahda's egress is ₹0/GB across both compute and object storage, within published transfer allowances — one model to reason about instead of two. It matters most if you serve media, backups or large downloads out of object storage.

Will my Kubernetes manifests just work?

Mostly, yes. Both platforms run standard, vanilla Kubernetes, so your Deployments, Services and application-level YAML do not need a rewrite. What changes is your StorageClass — E2E uses Ceph RBD CSI, Wahda has its own equivalent — and any LoadBalancer-specific annotations, since E2E integrates MetalLB. Budget a day to retest storage and ingress behaviour, not to rewrite application manifests.

Can I keep my domain registrar and DNS provider?

Yes. Wahda is not a domain registrar and does not require you to move DNS. You keep both and only update the A and AAAA records at cutover.

You are less established than E2E — why should I trust the SLA?

Honest answer: E2E has a longer operating history and is a publicly listed company; Wahda does not have that track record yet. What Wahda does offer in writing is a 99.99% SLA, ahead of E2E's published 99.9%, a 15-minute critical-incident response, a 14-day free trial with no payment method required, and founder-accessible support. Weigh the trade-off against what you actually need — if cross-region failover and a long public track record matter more to you than the SLA number and the flat egress model, staying put is a defensible call.

How to get started

1
Start the 14-day free trial
No payment method required for the trial.
2
Spin up an s1.small or m1.large
Match your current compute footprint, live in under five minutes.
3
Dump-and-restore one database
Test the migration path on a non-critical service first.
4
Retarget your IaC, then cut over DNS
At your pace — with a founder call during the cutover if you want one.