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  3. IBM BigMemory Max
Logo of IBM BigMemory Max

IBM BigMemory Max

byIBM
in In-Memory Data Grids
3.2

Overview

Product Information on IBM BigMemory Max

Updated 13th October 2025

What is IBM BigMemory Max?

Terracotta BigMemory is an in-memory data management software designed to support large-scale enterprise applications by enabling high-speed access to data. The software provides features including distributed caching, persistence, and high availability, allowing organizations to store and retrieve large volumes of data efficiently. Terracotta BigMemory is utilized to minimize latency and improve application performance for use cases such as session management, real-time analytics, and data processing. By storing data in-memory, the software addresses business challenges related to slow data access from traditional disk-based storage and helps improve scalability and reliability within complex IT environments.

IBM BigMemory Max Pricing

Terracotta BigMemory software uses a licensing-based pricing model, where costs are determined by factors such as deployment type, number of instances, and data capacity requirements. Pricing may vary according to enterprise needs and licensing duration, and typically requires contacting the provider for specific quotes or volume-based pricing details.

Overall experience with IBM BigMemory Max

Security Architecture Advisor
1B - 3B USD, Insurance (except health)
FAVORABLE

“Easy Session Propagation Over cluster nodes”

4.0
Oct 9, 2018
We have implemented multiple nodes cluster configuration easily with different type of applications (like Shibboleth IDP) and Terracota was a robust solution to propagate session over the cluster.
Integration & MFT Service Owner
30B + USD, Healthcare and Biotech
CRITICAL

“Requires improvements in Data Recovery, HA-performance and Search areas”

3.0
Jun 5, 2019
Pro : Overall the product works as expected, is scalable, fairly robust offering both business & technical values required. Overall good integrated with SAG ESB stack, offering functional & technical API enabling fairly rapid integration of IMDG (In Memory DataGrid) Technologies into complex Applications stacks offering scalability, fast-user response and enhanced, rapid search. Cons : Products lags state of art data recovery, data export/import capabilities. Offers weaker as expected HA/Performance, lagging best-in-class search capabilities.

About Company

Company Description

Updated 15th January 2024

IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.

Company Details

Updated 15th January 2024
Company type
Public
Year Founded
1911
Head office location
Armonk, New York, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.ibm.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

IBM BigMemory Max Reviews and Ratings

3.2

(5 Ratings)

Rating Distribution

5 Star
0%
4 Star
60%
3 Star
20%
2 Star
20%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

3.8

Integration & Deployment

3.8

Service & Support

3.4

Product Capabilities

3.6

Filter Reviews
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  • Integration & MFT Service Owner
    10B+ USD
    Healthcare and Biotech
    Review Source

    Requires improvements in Data Recovery, HA-performance and Search areas

    3.0
    Jun 5, 2019
    Pro : Overall the product works as expected, is scalable, fairly robust offering both business & technical values required. Overall good integrated with SAG ESB stack, offering functional & technical API enabling fairly rapid integration of IMDG (In Memory DataGrid) Technologies into complex Applications stacks offering scalability, fast-user response and enhanced, rapid search. Cons : Products lags state of art data recovery, data export/import capabilities. Offers weaker as expected HA/Performance, lagging best-in-class search capabilities.
  • Security Architecture Advisor
    1B-10B USD
    Insurance (except health)
    Review Source

    Easy Session Propagation Over cluster nodes

    4.0
    Oct 9, 2018
    We have implemented multiple nodes cluster configuration easily with different type of applications (like Shibboleth IDP) and Terracota was a robust solution to propagate session over the cluster.
  • Head of Department
    50M-1B USD
    IT Services
    Review Source

    Performance need to improve and HA does not work as expected. Restore take time.

    2.0
    Jun 20, 2018
    Product has performance issue, and the HA is not work as what they claim. Bring out the nodes that 30 minute to 3 hours. It does not meet our RTO. It also required Local SSD to achieve the performance desired but from ITS data center point of view, we prefer SAN storage. SAG take too long to resolve the issue and the vendor we engage does not have sufficient in deep knowledge and most of the them they need to refer to R&D department. This is taking time.
  • Architect
    50M-1B USD
    Healthcare and Biotech
    Review Source

    Terracotta Big memory in-memory cache to solve performance issue

    4.0
    Apr 13, 2018
    Wanted to install Terracotta Big Memory for in memory cache and improving process performance for large number of data.
  • Java Solutions Architect
    1B-10B USD
    Media
    Review Source

    Design and Implementation of in-memory systems with BigMemoryMax was easy

    4.0
    Aug 29, 2017
    Overall, the TerraCotta BigMemoryMax Product worked great meeting out stringent SLAs. We had to deliver our data to our upstream system(s), with an end to end SLA of 2 Sec with 4 major systems and two pass-through systems involved and contribute to cost savings for our business, and this product delivered what we were looking for. The only thing, I would bring out as an improvement area is a support offered by Software AG, they need to more vigilant about issues reported in production and devote more focus as soon as the issue is reported on live/production system. Of course, we need to agree they are diligent in creating ticket, tracking, follow-up and they are all appreciable factors, only thing is, software AG has to keep more focus as soon as the issue is reported on PROD and keep the momentum going until the issue is resolved.
Showing Result 1-5 of 5

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Reviewer Insights for: IBM BigMemory Max

IBM BigMemory Max Likes & Dislikes

Like

Performance and reliability

Like

Strong integration, ties into SAG ESB stack, allowing rapid time-2-market and reduced learning curve.

Like

Underlying Memory Management System ( off-heap ) on TerraCotta BigMemoryMax is being done in an excellant manner and it works like a charm. Especially considering the in-memory solution built on top Java Platform, the memory management was done in a robust fashion.

Dislike

Debugging is not easy

Dislike

Lagging state of art Admin and data-recovery capabilities

Dislike

Basically, when you get into an issue in Production, sometimes, we dont have a clue what is causing this and it becomes tough to manage the situation. Thanks to Technical Architecture that is designed fault tolerant capability, we were able to manage couple of times, when we had issues.