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IBM Spectrum Scale Logo

Solve modern AI challenges

Table of Contents

IBM Spectrum Scale - 2026 Pricing, Features, Reviews & Alternatives

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IBM Spectrum Scale overview

What is IBM Spectrum Scale?

IBM Spectrum Scale is a data warehouse solution, which provides features such as in-database processing, integrated data lifecycle management, ETL (Extract, Transfer, Load), data capture and transfer, and data connectors.

IBM Spectrum Scale connects data sources from cloud to core to edge. The platform provides multiple ways to concurrently ingest and access data.

Starting price

IBM Spectrum Scale’s user interface

Ease of use rating:

IBM Spectrum Scale reviews

Overall rating

4.0

/5

1

Positive reviews

100

%

Rating breakdown
  • Value for money
  • Ease of use
  • Features
  • Customer support
  • Likelihood to recommend8/10
Rating distribution

5

4

3

2

1

0

1

0

0

0

IBM Spectrum Scale's features

Features rating:

Data capture and transfer
Data connectors
ETL - extract transfer load
In-Database processing
Machine learning
Natural language processing

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IBM Spectrum Scale support options

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Support options

Email/Help Desk
Knowledge Base

Training options

Documentation

IBM Spectrum Scale FAQs

Q. Who are the typical users of IBM Spectrum Scale?

IBM Spectrum Scale has the following typical customers:
Large Enterprises, Mid Size Business, Small Business


Q. What languages does IBM Spectrum Scale support?

IBM Spectrum Scale supports the following languages:
English, Spanish, German, Portuguese, Portuguese, Portuguese, French, Chinese (Simplified), Chinese (Traditional), Italian, Japanese, Korean, Polish, Russian, Arabic, Turkish


Q. Does IBM Spectrum Scale offer an API?

No, IBM Spectrum Scale does not have an API available.


Q. What level of support does IBM Spectrum Scale offer?

IBM Spectrum Scale offers the following support options:
Email/Help Desk, Knowledge Base

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