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  1. Home
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  3. Terracotta BigMemory
Logo of Terracotta BigMemory

Terracotta BigMemory

bySoftware AG
in In-Memory Data Grids
3.3

Overview

Product Information on Terracotta BigMemory

Updated 13th October 2025

What is Terracotta BigMemory?

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.

Terracotta BigMemory 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 Terracotta BigMemory

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 29th November 2023

Software AG helps companies create effortlessly connected experiences for their customers, employees and partners. Its enterprise-grade iPaaS integrates anything, anywhere, any way users want by bringing application, data, B2B, API and event integration together in the same generative AI-enabled platform. Trusted by the world’s best brands for more than 50 years, Software AG enables end-to-end visibility and governance across geographies, IT environments, and complex business ecosystems, with hybrid multi-cloud connectivity, and enterprise-grade security relied on by banks, governments, and corporations around the world.

Company Details

Updated 26th February 2025
Company type
Public
Year Founded
1969
Head office location
Darmstadt, Germany
Number of employees
5001 - 10000
Annual Revenue
500M-1B USD
Website
https://www.softwareag.com/en_corporate.html

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: Terracotta BigMemory

Terracotta BigMemory 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.

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Peer Discussions

Terracotta BigMemory Reviews and Ratings

3.3

(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
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • 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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