GigaSpaces InsightEdge

GigaSpaces InsightEdge is an always-on platform for your mission-critical applications across cloud, on-premise or hybrid. The platform operationalizes machine learning and transactional processing, at scale; analyzing data as it's born, enriching it with historical context, for instant insight to action.

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9.0/10 (Expert Score) ★★★★★
Product is rated as #16 in category Big Data Processing and Distribution Software
Ease of use
8.3
Support
9.2
Ease of Setup
7.0

GigaSpaces is redefining in-memory technology to drive enterprise digital transformation with unparalleled speed, performance and scale. The GigaSpaces InsightEdge Portfolio delivers the fastest, scalable and easiest to deploy, suite of software platforms to meet the most challenging enterprise data and analytics processing needs. The Smart Cache, Smart Operational Data Store (ODS) and Smart Augmented Transactions platforms are powered by a unique combination of smart and autonomous data operations and management capabilities.

Hundreds of Tier-1 and Fortune-listed organizations and OEMs across financial services, retail, transportation, telecom, healthcare, and more trust GigaSpaces for powering 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, Goldman Sachs, SociГ©tГ© GГ©nГ©rale, CrГ©dit Agricole, Avanza Bank, Avaya, Frequentis, CLSA, and Groupe PSA.

GigaSpaces InsightEdge
GigaSpaces InsightEdge

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Customer Reviews

GigaSpaces InsightEdge Reviews

FrГ©dГ©ric W.

Advanced user of GigaSpaces InsightEdge
★★★★★
InsightEdge used with success in a major european car manufacturer to provide WLTP results

What do you like best?

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?

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 are you solving with the product? What benefits have you realized?

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.

Review source: G2.com

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