Deploy your own cloud

All the services that you love from the public cloud in your own infrastructure, bare metal providers or the public cloud itself.

qibdo HCI architecture for FaaS, SaaS, PaaS and IaaS services.

Your Private Cloud Native Platform

We provide more than a VM Hypervisor. Our Hyperconverged Infrastructure (HCI) software offers a complete end-to-end Cloud Native experience with similar FaaS, SaaS, PaaS and IaaS services such as those from the public cloud.

By using qibdo you are able to use modern cloud native products out of the box with little engineering overhead, while saving up to 10x in cloud costs.

Compute

Create and run Virtual Machines (VM) in your own reliable infrastructure, or public cloud. Consolidate all your VMs in a single console: create, deploy and repatriate, all-in-one.

SQL

Manage your relational databases with the same level of simplicty and reliablity of RDS and Cloud SQL. Unlock hybrid cloud by having local read replicas from the public cloud, snapshots, and more.

Pilot

Deploy your applications in a managed Kubernetes solution. Integrate with public cloud solutions using different engines such as AWS EKS Anywhere or GCP Anthos.

Storage

A distributed object, block, and file storage service for storing unstructured data. You can integrate with other solutions such as S3 and GCS for reliability and disaster recovery purposes.

Lakehouse

Analyze your data with our data warehouse and lake solution. Integrate with other common data warehouse solutions at a table granularity. Consolidate all your sources in a single place.

Functions

A serverless solution that allows you to focus solely on the code without concerns about server management. Deploy functions on your bare metal servers or on other public cloud services.

IAM

Fine-grained access control not only for your on-premise infrastructure but for all the other public cloud services and resources that you are currently managing.

Making Cloud Repatriation Possible

Regain control of your infrastructure with qibdo. We make it possible by giving you all the tools and services you need to have a smooth transition to your premises.

Barclay's latest CIO Survey uncovered that 83% of businesses plan to repatriate some workloads in 2024, so you are not alone.

Rest assured that your data and applications remain securely in-house, no third parties involved.

qibdo Cloud Repatriation

Designed for a modern multi-cloud and hybrid experience

We believe the answer lies somewhere in the middle. Consolidate all your workloads into a single place.

Recent trends indicate that 70% of companies are unsure about their exact spending on cloud services. With qibdo you can perform capacity planning, budget analysis and monitoring for all your compute resources, whether they are in your own premises, third party bare metal servers or public cloud providers.

YEARLY
qibdo logo STANDARD

59 USD / Per core

  • All services included
  • No storage limits
  • No RAM limits
  • Basic customer support
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Crystal Clear Billing

Forget about weird, complicated formulas or hidden costs.

We have a clear pricing model based on the number of cores (CPUs, vCPUs, GPUs, etc) in your infrastructure. We don't charge additional fees for RAM, storage, networking interfaces, etc.

With qibdo we expect your company to save up to 90% in cloud costs.

Still don't believe us?

Have a look at the monthly on-demand prices of public cloud vs deploying on bare metal servers running qibdo.

The following estimates were calculated as of 9 September 2024.

V.S
Service + + +
Compute1 m5.24xlarge2
96vCPUs, 384GiB RAM		 n2-standard-962
96vCPUs, 384GiB RAM		 D96 v52
96vCPUs, 384GiB RAM		 AX162-R
48C/96T, 384GB RAM & 1.92 TB NVMe SSD		 2x Medium v4
48C/96T, 512GB RAM & 12.8 TB NVMe SSD		 2x AMD EPYC 7443
48C/96T, 256GB RAM & 1 TB NVMe SSD
$3,363.84 $3,403.01 $3,363.84 $518.86
(up to 655% cheaper)		 $1,474.40
(up to 230% cheaper)		 $990.92
(up to 343% cheaper)
SQL db.m5.24xlarge
96vCPUs, 384GiB RAM & 1TiB SSD		 db-custom
96vCPUs, 384GiB RAM & 1TiB SSD		 D Series, 96 vCore
96vCPUs, 256GiB RAM & 1TiB SSD		 AX162-R
48C/96T, 384GB RAM & 1.92 TB NVMe SSD		 2x Medium v4
48C/96T, 512GB RAM & 12.8 TB NVMe SSD		 2x AMD EPYC 7443
48C/96T, 256GB RAM & 1 TB NVMe SSD
$6,106.84 $5,026.54 $6,106.84 $518.86
(up to 1117% cheaper)		 $1,474.40
(up to 414% cheaper)		 $990.92
(up to 616% cheaper)
Lakehouse ra3.16xlarge
48vCPUs, 384GiB RAM & 1TiB		 BigQuery
200 slots Enterprise 1TiB Active Storage3		 Synapse Gen 2
500 DWUs & 1TiB3		 2x SX295
64C/128T, 384GB RAM & 4x 7.68 TB SSD		 XL v2
64C/128T, 1024GB RAM & 4x 3.2TB NVMe		 2x AMD EPYC 7543
64C/128T, 256GB RAM & 2x 1TB NVMe
$9,543.78 $8,783.32 $6,361.39 $1,202.06
(up to 793% cheaper)		 $1,790.66
(up to 532% cheaper)		 $1,123.58
(up to 849% cheaper)
Functions AWS Lambda x86
384GiB-seconds4		 Cloud Run Function Gen2
730 hours 96 vCPU & 384 GiB RAM4		 Azure Functions
384GiB-seconds4		 AX162-R
48C/96T, 384GB RAM & 1.92 TB NVMe SSD		 2x Medium v4
48C/96T, 512GB RAM & 12.8 TB NVMe SSD		 2x AMD EPYC 7543
64C/128T, 256GB RAM & 2x 1TB NVMe
$14,261.07 $7,111.92 $13,690.60 $518.86
(up to 2748% cheaper)		 $1,474.40
(up to 967% cheaper)		 $990.92
(up to 1439% cheaper)
  1. In this analysis, we selected comparable regions across different cloud services and bare metal providers, typically opting for the most cost-effective options. Specifically, for AWS, we used the US East (Ohio) region; for GCP, the US-Central (Iowa) region; and for Azure, the East US region. For bare metal providers, we chose regions closest to those used by the cloud services or the most popular (and occasionally more expensive) locations. For Hetzner, we selected Falkenstein; for OpenMetal, Ashburn, VA; and for CherryServers, US-Chicago-1.
  2. Disk and volume costs for cloud instances were not included in this analysis. Consequently, actual expenses may be higher depending on various factors, such as volume size, type (e.g., HDD, SSD, or NVMe), and dedicated IOPS requirements.
  3. There is no precise formula for determining the vCPU and GB equivalence of a slot or DWU (Data Warehouse Unit). For example, BigQuery's official documentation specifies that a slot corresponds to one vCPU but does not clarify the associated memory capacity in GB. Conversely, other providers, such as Firebolt, estimate that one slot equates to approximately 0.5 vCPU and 0.5 GB. Regarding Azure Functions, the official documentation describes a DWU as a normalized measure of compute resources and performance, without specifying vCPUs or GBs. An official Q&A post further clarifies that 100 DWUs represent one compute node, which is allocated 60 GB of memory. However, details on vCPUs were not provided, as disclosing such information "would limit us in what the underlying hardware is for each of our nodes...". For the purposes of this comparison, we have assumed that one slot equates to 1 vCPU and 1 GB of memory, and one DWU equates to 0.6 vCPU and 0.6 GB of memory.
  4. Similar to the previous point, calculating the cost of serverless functions can be complex due to their billing model, which typically measures usage in terms of vCPU/GB-seconds. For this scenario, we estimated the total GB-seconds for a constant level of consumption over a month. Specifically, the formula used was: totalCostPerGBSecond x TotalGBs x (totalSecondsInMonth - freeGBSeconds). For GCP, we incorporated the cost associated with vCPU-seconds and accounted for any available free credits. Due to the inability to make assumptions about concurrency, additional costs such as request fees, storage charges, network egress, and logging were not included in this calculation.
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