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Bigstep Metal Cloud vs AWS

AWS warrants no introduction. The question we always get when we talk about our services is why should someone go with Bigstep rather than AWS? The answer is typically "it depends". The Metal Cloud is not for everyone and everything. It has some specific use cases where we shine and others where we don't. We've put together a side-by-side comparison to make it easy to make a decision.

 Bigstep Metal CloudAWS
Bare metal
Yes
no (with the exception of a few very large machines
such as i3.metal which has 72 cores and 512 GB of RAM)
Minimum instance size
8 cores 32 GB RAM
1 core 0.5 GB RAM
Self Service
Yes
Yes
Provisioning time

300 seconds

100-300 seconds

OS volume
iscsi
via virtual block device
Aditional storage volumes
iscsi block devices
EBS via virtual block device
On-demand
Yes (per second)

Yes (per second)

Migration-less upgrade support
Yes (with restart)
Yes (instance resizing, with some restrictions)
Stop and resume support
Yes 
Yes
Service network config.
Yes (L2 & L3)
Yes (L3 only)
L2 technology
MPLS
N/A
Private LAN support
Yes
Yes (VPC)
API enabled
Yes
Yes
IPV6
Yes 
Yes (only as HTTP(S),SSl termination)
BGP support
Yes (custom)
Yes (native)
Shared filesystem support
Yes (via GFS - Bigstep SharedDrive)
Yes (via NFSv4 - AWS EFS)
Database as a Service
Couchbase, Cassandra, Exasol, 
PostgreSQL, MySQL (Percona), 
Elasticsearch
RDS, Redshift, 
Aurora, DynamoDB,
Timestream, Neptune
Hadoop & Spark as a Service
Cloudera, MapR, Hortonworks, Mesos
EMR
Data Science Tools
Jupyter
SageMaker
Native container platform
Yes (Bigstep Container Platform)

Yes (AWS EKS)

Container Apps
Apache Spark, Streamsets, 
Apache Kafka, Zoomdata, Jupyter
No
Object Storage
Yes (Bigstep DataLake service)
Yes (S3)
Serverless services
No
Amazon Lambda, Step Function, Glue etc.
Other services
No
Many

Why choose Bigstep?

Single tenant, bare metal instances
at no extra cost

There is very little you cannot do with AWS. Our primary advantage comes from the performance and stability improvement that bare metal brings to the table. You can get single tenant servers in AWS but at a premium price and you will still have the virtualization layer. 

2x the compute performance

The typical performance improvement you should expect is 2x but it depends on the kind of workload you have. A customer found 20x improvement for deep learning model training.

6x faster network

The network latency is 6x lower in Bigstep than in AWS so microservices  on Kubernetes will run faster in Bigstep than AWS. See this benchmark.

No lock-in with 
Databases as a Service

There is also a lot less lock-in with Bigstep. All of the additional services we offer such as Databases as a Service are standard off-the-shelf technologies that you can deploy anywhere.

Why choose AWS?

Serverless services

We would highlight the serverless services. With AWS Lambda you can breakdown an app and run it's functions independently in an autoscalable environment. This eliminates the need for infrastructure management and OS management and offers a truly no-ops experience to developers. 

Many others...

AWS has a service for everything.

 

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