Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

Apache Spark Hosting - Pre-Installed Big Data Servers

Apache Spark pre-installed on servers in the Netherlands, Finland, Germany, Iceland, Turkey and the USA

Rent a virtual (VPS) or a dedicated server with a pre-installed Apache Spark - a free and open-source engine for executing data engineering, data science, and machine learning. Simply choose the desired plan, configure a server and start working in just 15 minutes.

Already installed - we have taken care of all the technical aspects
Fine-tuned server - high performance configurations optimized for Apache Spark
Supported 24/7 - we are always ready to help

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SERVERS In action right now 5 000+

How it works

Choose server and license

Select your preferred server option. While placing your order, choose an Apache Spark license, network settings, and any other necessary parameters.
Place an order

Once your order is successfully placed and payment is completed, our team will get in touch with you to provide an exact timeframe for server deployment. Typically, the server setup process takes no more than 15 minutes, though it may vary depending on the server type.
Start working

Once the server is ready, we'll promptly send you all the access details via email. Rest assured, Apache Spark will come pre-installed and fully operational, allowing you to begin your work without any delays.

Get the pre-installed Apache Spark on virtual (VPS) or dedicated servers

Apache Spark is provided only for leased HOSTKEY servers. To get the Apache Spark license, select it in the "Software" tab while ordering the server.

Apache Spark on virtual (VPS) servers

Rent a reliable VPS in the Netherlands, Finland, Germany, Iceland, Turkey and the USA.

Server delivery ETA: ≈15 minutes.

Choose a VPS server

Apache Spark on dedicated servers

Rent a dedicated server with a full out-of-band management in the Netherlands, Finland, Germany, Turkey and the USA.

Server delivery ETA: ≈15 minutes.

Choose a dedicated server

Apache Spark — officially free software

Apache Spark is a free and open-source software licensed under the Apache License Version 2.0.

We guarantee that our servers are running safe and original software.

FAQ

How to install Apache Spark on a virtual or dedicated server?

To install Apache Spark, you need to select it while ordering a server on the HOSTKEY website. Our auto-deployment system will install it on your server.

I am having trouble installing and/or using Apache Spark

If you have any difficulties or questions when installing and/or using this software, carefully learn the documentation on the official website of the developer, read about typical problems and how to solve them or contact Apache Spark support.

Why rent a server with Apache Spark pre-installed?

It takes less time to set up and guarantees your environment is running efficiently from the beginning. You can start jobs as soon as you want.

What’s the difference between a Spark VPS and a dedicated Spark server?

A VPS is suitable for development and when you need to handle small tasks. A dedicated server provides all the resources and speed your business needs for large-scale processing.

Can I use Apache Spark for real-time data processing?

Yes. Spark is able to handle real-time feeds using structured streaming.

Does Spark on HOSTKEY support ML and graph processing?

Absolutely. Spark MLlib is for machine learning and GraphX is used for graph processing.

Are Spark servers at HOSTKEY secure and reliable?

Yes. All data centers are equipped with strong security and are watched around the clock. DDoS protection and uptime with an SLA are included as well.

Apache Spark

Apache Spark is a unified engine for large-scale data analytics used for data engineering, data science, and machine learning on single-node machines or clusters.

In-Memory Computation

Spark performs computations in memory, significantly improving processing speed and efficiency compared to disk-based frameworks like Hadoop MapReduce.

Distributed Data Processing

Spark distributes data across multiple nodes in a cluster, enabling parallel data processing and faster execution times for large-scale datasets.

Unified Data Analytics Engine

Combines multiple workloads such as batch processing, streaming, machine learning, and graph processing within a single framework, simplifying complex data workflows.

Support for Multiple Languages

Provides APIs for various programming languages, including Python, Java, Scala, and R, making it accessible to a broader range of developers and data scientists.

Spark SQL and DataFrames

Allows querying and manipulating structured data using SQL-like queries through Spark SQL and DataFrames, providing a familiar interface for working with structured and semi-structured data.

Real-Time Stream Processing

With Spark Streaming and Structured Streaming, Spark can process real-time data streams, enabling applications that require low-latency and high-throughput data processing.

Machine Learning Library (MLlib)

Offers a scalable machine learning library that includes algorithms for classification, regression, clustering, and collaborative filtering, as well as tools for feature extraction and transformation.

Graph Processing with GraphX

Spark includes the GraphX library for graph processing and analysis, making it possible to build and manipulate graphs and perform complex graph computations.

Fault Tolerance

Spark uses a Directed Acyclic Graph (DAG) and RDDs (Resilient Distributed Datasets) for fault tolerance, allowing it to recover lost data and recompute results automatically in case of node failures.

Get pre-installed Apache Spark

on servers located in data centers across Europe, the USA, and Turkey.

Why choose an Apache Spark server at HOSTKEY?

TIER III Data Centers

Top reliability and security provide stable operation of your servers and 99.982% annual uptime.
DDoS protection

The service is organized using software and hardware solutions to protect against TCP-SYN Flood attacks (SYN, ACK, RST, FIN, PUSH).
Round-the-clock technical support

The application form allows you to get technical support at any time of the day or night. First response within 15 minutes.

What customers say

After launching another successful IP — HUNT: Showdown, a competitive first-person PvP bounty hunting game with heavy PvE elements, Crytek aimed to bring this amazing game for its end-users. We needed a hosting provider that can offer us high-performance servers with great network speed, latency, and 24/7 support.

Stefan Neykov Crytek

doXray has been using HOSTKEY for the development and the operation of our software solutions. Our applications require the use of GPU processing power. We have been using HOSTKEY for several years and we are very satisfied with the way they operate. New requirements are setup fast and support follows up after the installation process to check if everything is as requested. Support during operations is reliable and fast.

Wimdo Blaauboer doXray

We would like to thank HOSTKEY for providing us with high-quality hosting services for over 4 years. Ip-label has been able to conduct many of its more than 100 million daily measurements through HOSTKEY’s servers, making our meteorological coverage even more complete.

D. Jayes IP-Label

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Use Cases for Apache Spark Servers

If you want to handle a lot of data, Apache Spark on your servers provides the highest speed, flexibility and control. Choosing a spark server on a VPS or dedicated host will give you many important benefits.

Which users require Spark hosting and what are the reasons for this?

Data scientists are involved in using distributed machine learning algorithms.
Organizations using data pipelines and analytics in real time.
Apache Spark machine learning models are deployed by developers who need scalability.

A Spark host environment offers the following:

In-memory computing designed for high performance
A system that can grow and handle errors
Ability to work with well-known ML and big data libraries

VPS vs Dedicated Servers for Apache Spark - What to Choose?

The decision between a VPS Apache instance and a dedicated spark server depends on the amount of work you need to do.

When a VPS is the best choice:

Development and testing are important in software engineering.
Small data processing tasks
Pipelines that are easy to move and manage

When should you go for dedicated hosting?

Building and training big Apache Spark machine learning models
Operating stream processing apps that can handle a lot of data
Dealing with huge datasets spread across clusters

Comparison Highlights:

VPS Apache: Low-cost, flexible and suitable for projects just starting out.
A dedicated spark server has more resources, performs reliably and supports GPUs.

What You Can Build with Apache Spark Hosting

Having a spark host allows you to work with much more data. You can make these kinds of projects:

ETL Pipelines: Make it possible to automatically and efficiently get, change and load data.
Use collaborative filtering to give each user a personalized experience.
Stream Processing Apps: Use Spark Streaming to process data in real time.
Real-time Dashboards: Show metrics immediately using structured streaming.

Use the essential features, SQL engine and MLlib in Spark to build smart and scalable apps.

Locations of Apache Spark Servers

Place your spark server near where your users are to decrease response time and comply with regulations.

HOSTKEY supplies Spark servers in:

Netherlands
Germany
Finland
Iceland
Turkey
France
United Kingdom
Spain
Poland
Switzerland
USA

Each location has:

GDPR compliance
Fast access to the internet in Europe
Localized support

Run Apache Spark on GPU Servers

Run Apache Spark machine learning workloads faster by using GPU acceleration. Our infrastructure is able to:

NVIDIA A100 / H100 for high-end computing in the enterprise
Use RTX 4090 / 5090 for the most demanding consumer ML tasks.

Benefits:

Training an MLlib model is now 10 times faster.
Deep learning uses parallel processing.
TensorFlow, PyTorch and other frameworks are all compatible with it.

Why Developers Choose HOSTKEY for Apache Spark

Why HOSTKEY is a good choice for your spark host:

Available templates that are ready to be used with Apache Spark
You can choose to be billed hourly or monthly.
1Gbps bandwidth that does not have a data limit
Ability to use powerful GPU servers
You can get free or discounted licensed software from the marketplace.
Servers are deployed in minutes.
Technical support for setting up a cluster
Discounts as high as 40%

Need Help with Spark Setup or Cluster Configuration?

Dedicated Servers with pre-installed Apache Spark

Plan Basic:

CPU: AMD EPYC 7402P 24-core
GPU: RTX 4090 24GB
RAM: 128 GB
Storage: 2 TB NVMe
Port/Traffic: 1Gbps
€425/mo or €0.65/hr

Plan Advanced:

CPU: Intel Xeon Gold 6338 32-core
GPU: RTX 5090 24GB
RAM: 256 GB
Storage: 4 TB NVMe
Port/Traffic: 1Gbps
€695/mo or €0.95/hr

Plan Performance:

CPU: AMD EPYC 9654 48-core
GPU: 2 x RTX 5090
RAM: 512 GB
Storage: 8 TB NVMe
Port/Traffic: 1Gbps
€1,125/mo or €1.55/hr

VPS Plans with pre-installed Apache Spark

VPS Basic:

vCPU: 4 Cores
GPU: RTX 4090 (shared)
RAM: 16 GB
Storage: 250 GB NVMe
Port/Traffic: 1Gbps
€55/mo or €0.09/hr

VPS Advanced:

vCPU: 8 Cores
GPU: RTX 5090 (shared)
RAM: 32 GB
Storage: 500 GB NVMe
Port/Traffic: 1Gbps
€89/mo or €0.13/hr

VPS Performance:

vCPU: 16 Cores
GPU: RTX 5090 (shared)
RAM: 64 GB
Storage: 1 TB NVMe
Port/Traffic: 1Gbps
€129/mo or €0.19/hr

Servers are provisioned in minutes. Pre-installed software from our marketplace makes deployment easy. Much of the software is free or discounted. You can scale from budget setups to enterprise configurations.