Jedox Hardware Requirements

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Related links: Jedox Software Requirements, Platform Support Guide for Jedox Software, Jedox GPU Accelerator Requirements, Jedox SAP Connector Requirements, Jedox Mobile Requirements

Here you will find the hardware requirements for the installation of the following Jedox software: Jedox In-Memory DB Server (inclusive all Jedox server components1)), Jedox GPU Accelerator, Jedox Web (Web Server and Spreadsheet Server), Jedox Excel Add-in Client, and Jedox Web Client.

Important preliminary remarks:
Overall, the performance depends on the size of the database and/or the complexity of the data model and the used rules. Furthermore, the number and the size of Web Spreadsheets and Web Reports plays an important role in the performance. Finally the number of all potential named users, that are using the systems at the same time (concurrent sessions) has a major impact on HW requirements.

For these reasons, the following hardware recommendations are limited to the basic use of our software products. Please contact one of our experienced consultants if your desired data analysis corresponds to such a base use. If this is not the case, then normally the hardware requirements are significantly higher.

 

General notes:
For larger applications, we recommend splitting the processes on several machines (see article Scaling Jedox).

For more than 500 concurrent sessions, a prior consultation with one of our consultants is required.

The Jedox GPU Accelerator can utilize CUDA-capable NVIDIA graphics cards as massively parallel co-processors for speeding up OLAP aggregations. Thus Jedox applications may achieve significant performance improvements.

Jedox products also support virtual platforms; however, compared with a real hardware constellation, performance degradation can occur. The difference in performance must be checked in each individual case, since this depends on the application and on the given virtual platform.

 

 

First Server Machine

Minimum 2)

Recommended 2)

On this first server machine must always run all Jedox server components 1)

for 10-50 concurrent sessions

CPU

Intel Xeon (4 Cores)

Intel Xeon (16 Cores)

 

RAM

16 GB

64 GB

 

HDD

100 GB

200 GB

for 50-200 concurrent sessions

CPU

Intel Xeon (16 Cores)

2 x Intel Xeon (10 Cores)

 

RAM

64 GB 128 GB
 

HDD

200 GB 400 GB

for 200-500 concurrent sessions

CPU

2 x Intel Xeon (10 Cores)

2 x Intel Xeon (20 Cores)

 

RAM

128 GB

256 GB

  HDD 400GB 1000 GB

Jedox GPU Accelerator

 

GPU 3)

NVIDIA Tesla K40

NVIDIA Tesla K80

 

Additional Server Machine(s)  (optional) 2)

On each additional server machine must run Jedox Web Server and Jedox Spreadsheet Server

for 10-50 concurrent sessions

CPU

Intel Xeon (4 Cores)

Intel Xeon (8 Cores)

 

RAM

16 GB

32 GB

 

HDD

100 GB

200 GB

 for 50-200 concurrent sessions

 CPU

 Intel Xeon (16 Cores)

 2 x Intel Xeon (10 Cores)

 

RAM

64 GB

128 GB

  HDD 200 GB 200 GB

for 200-500 concurrent sessions

CPU

2 x Intel Xeon (10 Cores)

2 x Cluster nodes with Intel Xeon (16 Cores)

 

RAM

128 GB

128 GB

  HDD 200 GB 200 GB

 

Client Machines

Jedox Excel Client

 

CPU

Core i3 (2 Cores)

Core i7 (4 Cores)

 

RAM

1 GB

4 GB

 

HDD

1 GB

2 GB

Jedox Web Client      
 

CPU

Core i3 (2 Cores)

Core i7 (4 Cores)

  RAM 1 GB 4 GB
  HDD 1 GB 2 GB

1) Jedox server components are:
  – Jedox In-Memory DB Server (Servicename: JedoxSuiteMolapService),
  – Jedox Web Server (Servicename: JedoxSuiteHttpdService),
  – Jedox Spreadsheet Server (Servicename: JedoxSuiteCoreService),
  – Jedox Integrator Server (Servicename: JedoxSuiteTomcatService).

To increase the performance you can use additional server machine(s). On each of them must run Jedox Web Server and Jedox Spreadsheet Server.
In this case we recommend that you do not reduce the power of the first server machine.

Supervision Server and Jedox SAP Connector do not have exclusive hardware requirements.

2) CPU specifications are sample data, equivalent processors are also possible. Memory data means free memory.

3) Compute capability 3.0 or higher. For more details see https://developer.nvidia.com/cuda-gpus.

 

 

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