# GigaSpaces Reviews **Vendor:** Gigaspaces **Category:** [Key Value Databases](https://www.g2.com/categories/key-value-databases) **Average Rating:** 4.6/5.0 **Total Reviews:** 14 ## About GigaSpaces GigaSpaces helps enterprises apply AI to real-time, structured operational data, enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected situations, and surface opportunities and risks in everyday business. With over two decades of experience powering mission-critical systems, GigaSpaces is a pioneer in real-time data technology and a trusted foundation for data-driven services across industries, including finance, travel, telecom, and insurance. Headquartered in the US, with offices in Europe and Israel, GigaSpaces helps organizations turn operational data into decisions that are timely, secure, and scalable. The GigaSpaces Portfolio delivers the fastest, scalable and easiest to deploy, suite of software platforms to meet the most challenging enterprise data requirements. Numerous Tier-1 and Fortune-listed organizations and OEMs across financial services, retail, transportation, telecom, healthcare, and more trust GigaSpaces to power their mission critical services to optimize business operations, adhere to regulatory compliance and enhance customer experience. Our offices are located in the US, Europe and Israel with partners around the globe; serving customers such as Morgan Stanley, Bank of America, CSX, Société Générale, Crédit Agricole, Avanza Bank, Avaya, CLSA, and Groupe PSA. ## GigaSpaces Reviews ### 1. InsightEdge used with success in a major european car manufacturer to provide WLTP results **Rating:** 4.5/5.0 stars **Reviewed by:** Frédéric W. | Enterprise Architect, Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2021 **What do you like best about GigaSpaces?** Easy to start using the solution to prototype and test new ideas. Simplicity to add new features to the first solution delivered to answer new business needs. Solving a capacity problem was the first motivation for implementation. Still, the choice of InsightEdge aimed to go much further and initiate a data-centric type transformation of several existing systems, leading to simplification, cost-cutting, and a high level of performance. Even if single request processing time was not the challenge, we get perfect response time and tried to stress the system up to more than 2000 requests per second without noticing an impact on performance. **What do you dislike about GigaSpaces?** Knowing we can do a lot in many ways due to all InsightEdge capabilities (connectors, storage styles, ...), it can be tricky to find the best implementation for a given problem. Many will work, but if you need to have real-time top performance, you need to work on it and be ready to understand how the solution is managing memory. Depending on your requirements and the volume of data stored, you may need a lot of memory in your virtual machines. **What problems is GigaSpaces solving and how is that benefiting you?** We solved a technical capacity problem first by implementing a cache where standard cache solutions were inefficient because too much variability in the requests was leading to very low cache hit performance. Feeding a cache would have required years of calculation and will be terabytes big, which was not realistic. InsightEdge performance and flexibility permit us to process requests on the fly and to be able to try to correlate them with already calculated ones providing the same results, reducing drastically the need to call the target system (up to 90% in only a week, and progressively increasing towards 100%). Once the cache was full of data, it is a high-performance data source used for marketing or technical very complex analysis. The benefits were: - solving in only 3 months the capacity problem - being able to suppress code in other systems, using the cache as the reference source of information - replace empirical semi-manual analysis with exhaustive and automated ones, replacing repetitive and time-consuming tasks for business experts - transform the information system towards a more agile and efficient data-centric one. ### 2. Scalability and low latency for the 10 latest years **Rating:** 4.5/5.0 stars **Reviewed by:** Joakim S. | CTO, Mid-Market (51-1000 emp.) **Reviewed Date:** May 14, 2020 **What do you like best about GigaSpaces?** We are using Gigaspaces XAP as our primary data storage solution for our entire online system. Since we adopted XAP in 2010 we have grown in customers, activity and system complexity many times over and our backend microservices powered by Gigaspaces has always been able to scale and handle every business demand we've thrown at it. Gigasoaces XAP delivers very low latency and high scalability across our 1400+ microservices. It allows our developers to focus on functionality and business instead of code optimizations and complex design solutions. **What do you dislike about GigaSpaces?** Development of the core product seemed to slow down during a few years. This has changed dramatically during the last years, though! **What problems is GigaSpaces solving and how is that benefiting you?** It's our chosen solution for data storage and processing that powers all our 1400+ microservices — outstanding performance and scalability out of the box. It has easy-to-use programming interfaces that cater to everyday developer productivity. ### 3. Gigaspaces Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 15, 2021 **What do you like best about GigaSpaces?** Excellent architectural features that are worth calling out, such as: Faster data access from partitioned memory grid Hot & cold optimized caching Ability to ingest real-time/historical data from diverse data sources such as Kafka, RDBMS systems & Object Stores with ease Java/Spark-based data processing capabilities. Event-based processing Multi-model storage Multiple language/framework support (Java/.Net/Rest/Spark/BI Tools/SQL) for data consumption Scalability and Data replication options Data Grid Fault Tolerance Out of the Security and ability to extend the same Multiple Dev-Ops Integration options Support for Hybrid Cloud The features mentioned above qualify it for a centralized Enterprise Data Integration Hub, especially for cases that require time/mission-critical real-time analytics. **What do you dislike about GigaSpaces?** In my humble opinion, multiple toned down versions with abiliity to switch off/on features can be built and marketed, for different audience personas, such as - Font End App Developers/Owners, Analytics Developes/Owners, Datawarehouse developers/Owners etc. **Recommendations to others considering GigaSpaces:** Great features. If you are looking for a unified and centralized Data Integration Hub as part of your data modernization efforts, have a look at Gigaspaces InsightEdge **What problems is GigaSpaces solving and how is that benefiting you?** It's a data-product in our portfolio on which we consult our customers across diverse domains. ### 4. The core platform for our service. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** May 03, 2021 **What do you like best about GigaSpaces?** The platform (XAP) is fast and stable and since its built in Java we can easilly integrate with the platform. **What do you dislike about GigaSpaces?** The platform has some core dependencies such as the underlying JDK, Spring and others, this blocks us from upgrade our services freely. **What problems is GigaSpaces solving and how is that benefiting you?** We use XAP as our primary data source, the platform enables us to build fast services providing real time data to our users. ### 5. Excellent outcomes and features **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** May 10, 2021 **What do you like best about GigaSpaces?** It´s a platform out of the box that allows address end to end data use cases, including analytics and real-time data processing (both transactional and analytical) **What do you dislike about GigaSpaces?** GiGASPACES offers a large range of options using it and it´s could be not too clear how is the best way to combine it with already existing architectures. **What problems is GigaSpaces solving and how is that benefiting you?** Uses case where you need, in an agile and fast way, processing data in real-time including (both transactional and analytical). GIGASPACE helps to reduce the gap between the availability of fresh data and the needing for real-time decisions at the right moment. ### 6. An impressive tool to work with huge volume of data in memory **Rating:** 4.5/5.0 stars **Reviewed by:** Jose Carlos I. | Chief Technology Officer Insights & Data Spain, Enterprise (> 1000 emp.) **Reviewed Date:** April 28, 2021 **What do you like best about GigaSpaces?** An impressive tool to work with huge volume of data in memory, excellent performance but also a quick win in terms of deployment. -Quick implementation. -Excellent support -Performance -Resilence of the solution **What do you dislike about GigaSpaces?** Increasing their presence in the European market **What problems is GigaSpaces solving and how is that benefiting you?** Real time batch, problems with large volumes of data. discharge workload from mainframe systems ### 7. GigaSpaces XAP **Rating:** 4.0/5.0 stars **Reviewed by:** Christopher W. | Squad Lead / Tech Lead, Enterprise (> 1000 emp.) **Reviewed Date:** February 25, 2021 **What do you like best about GigaSpaces?** Great performance, easy to use API to interact with the cache. **What do you dislike about GigaSpaces?** There are many processes to run the product, GSM, GSC, GSA, LUS. But we are running the product in Kubernetes environment, so many of the processes have been simplified. **What problems is GigaSpaces solving and how is that benefiting you?** We are using the product as a data cache, and also running business logic. Our product used to be database centric. After switching to using Gigaspaces, the performance is so much better. ### 8. XAP - Provides very good facilities platform for big application developments and maintenance **Rating:** 4.5/5.0 stars **Reviewed by:** Sreeram G. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 28, 2020 **What do you like best about GigaSpaces?** Its relatively new and well maintained with active support .     Based on Java     Ability to load balance , replication and failover features.     Flexibility and Stability     Support for automated Testing. **What do you dislike about GigaSpaces?** My observation on Gigaspaces is more focused on cloud based / web based solutions - auto installation and auto deployments which are all good features for web based or browser based applications      but for our use we would prefer to have a simpler or lighter version focused on for standalone installations and usages with high focus on performance and stability      (Clear ability to cut down unwanted features and get a lighter model with much higher performance )     Please feel free to correct me - i may be wrong though. **What problems is GigaSpaces solving and how is that benefiting you?** At Daiwa Securities we use Insight Edge platform more as a middle ware for communicating between all key components of algo trading platform. It also has good features for application deployment , load balancing, replication , failover capabilities , monitoring the installation and self healing infrastructure. Gigaspaces also helps to make our test framework easy to maintain or develop. ### 9. Quite impressive ! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** February 08, 2021 **What do you like best about GigaSpaces?** Mainly UI/UX experience. Memory Optimization and Performance **What do you dislike about GigaSpaces?** Nothing as such in particular as I have NOT expert on that yet ! **What problems is GigaSpaces solving and how is that benefiting you?** Data Analysis and Memory Optimization. ### 10. Scalability and Performance **Rating:** 5.0/5.0 stars **Reviewed by:** Roger F. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 25, 2020 **What do you like best about GigaSpaces?** In its core InsightEdge have the foundation that you need for an application - execution, messaging and storage. By design you also have partitioning/sharding of these three concepts. This together with its in-mem computing and fault tolerance gives us a platform with so much flexibility. **What do you dislike about GigaSpaces?** In-mem computing is complicated in terms of deployment since you have code and data in the same process. You need to have good tools to manage this in your environment. **What problems is GigaSpaces solving and how is that benefiting you?** We use InsightEdge as our main application platform so we are solving more or less all our business needs with InsightEdge. We get many benefits from InsightEdge but what really stands out with InsightEdge is performance and scalability. ## GigaSpaces Discussions - [What is GigaSpaces used for?](https://www.g2.com/discussions/what-is-gigaspaces-used-for) ## GigaSpaces Features **Data Management** - Data Model - Data Types **Data Management** - Data Model - Data Types - Built - In Search - Event Triggers **Statistical Tool** - Scripting - Data Mining - Algorithms **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Availability** - Auto Sharding - Auto Recovery - Data Replication **Availability** - Auto Sharding - Auto Recovery - Data Replication **Data Analysis** - Analysis - Data Interaction **Integrations** - Hadoop Integration - Spark Integration **Performance ** - Integrated Cache **Performance** - Query Optimization **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Platform** - Machine Scaling - Data Preparation - Spark Integration **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Processing** - Cloud Processing - Workload Processing **Support** - Multi-Model - Operating Systems **Support** - Multi-Model - Operating Systems - BI Connectors **Generative AI** - AI Text Generation - AI Text Summarization **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top GigaSpaces Alternatives - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (650 reviews) - [MongoDB](https://www.g2.com/products/mongodb/reviews) - 4.5/5.0 (516 reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - 4.1/5.0 (598 reviews)