GridGain Reviews & Product Details

What I like best about GridGain is its seamless combination of in-memory speed with distributed scalability and enterprise-grade features. Review collected by and hosted on G2.com.

What I dislike about GridGain—or where it can fall short—includes the following:

Steep Learning Curve:

The architecture is powerful but complex. New users often struggle with concepts like data affinity, collocated processing, and distributed joins.

Heavyweight Compared to Simple Caches:

For basic caching needs, GridGain (and Ignite) can feel like overkill compared to lightweight solutions like Redis or Memcached.

Advanced Features Behind Paywall:

Many enterprise features (security, monitoring, rolling upgrades) are only in the Enterprise or Ultimate editions, not in the Community Edition.

GridGain is powerful, but its complexity, configuration overhead, and limited free-tier features can be barriers to adoption. Review collected by and hosted on G2.com.

GridGain stands out for its speed, particularly for real-time, large-scale data processing. I have been impressed with its distributed in-memory data grid, which really speeds up any applications. The SQL support over the in-memory store has been particularly useful and the integration with the existing databases has been seamless. Review collected by and hosted on G2.com.

GridGain is a powerful tool but the learning curve is very steep since getting it set up in a more complex environment is difficult. The documentation can definitely be geared to new users better. It also takes quite a long time to configure and tune it initially, which may or may not be suited to teams with little background in distributed systems. Review collected by and hosted on G2.com.

The speed. GridGain genuinely changes how fast you can access and act on data. For someone in a strategic role, that’s a game-changer. You can get real-time answers and model scenarios on the go. Review collected by and hosted on G2.com.

The learning curve was a bit steep at first. It’s not plug-and-play, we needed support to get everything integrated properly, if your backend is outdated, you might not unlock the full benefits immediately cause it does require a well structured architecture if you will. Review collected by and hosted on G2.com.

its exceptional in-memory computing performance and real-time processing capabilities. It allows for lightning-fast data access and distributed computation, which significantly improves the performance of applications dealing with large-scale transactional and analytical workloads. The platform’s support for standard SQL and seamless integration with existing databases makes it highly practical for enterprise environments. Review collected by and hosted on G2.com.

it offers outstanding performance, it comes with a steep learning curve and can be complex to set up and configure. Initial deployment requires in-depth technical expertise, especially when tuning memory usage and configuring clusters for optimal performance. Review collected by and hosted on G2.com.

Gried Gain has made managing the application much easier for me. Review collected by and hosted on G2.com.

Up to now, I haven't found anything about GridGain that I dislike. Review collected by and hosted on G2.com.

GridGain offers exceptional in-memory data grid capabilities that significantly improve application performance. The integration with existing Java code is smooth, and the support for distributed caching and real-time analytics is excellent. I also appreciate the robust scalability features and support for SQL queries. Review collected by and hosted on G2.com.

The learning curve is steep, especially for newcomers to distributed systems. The documentation, while extensive, could benefit from more hands-on examples and clearer navigation. Also, some configuration aspects feel overly complex and require deep technical knowledge. Review collected by and hosted on G2.com.

We have been working with GridGain for about a year to help us continuously train our AI and ML models. Their Continuous Learning Framework supports machine learning and deep learning model training on operational data, with built-in machine learning libraries that facilitate training models using real-time data. GridGain also provides us with high-speed data processing and analytics, and near-linear scalability which have been key to helping us handle large datasets and perform the complex computations required in AI and ML training. Review collected by and hosted on G2.com.

We’ve experienced minor issues with some of our data integrations when it came to scaling our AI and ML models. Review collected by and hosted on G2.com.

GridGain’s powerful in-memory computing has drastically sped up our data processing. Its seamless integration with various data sources and excellent scalability ensure we get real-time insights quickly. The support team is responsive, and the comprehensive documentation makes implementation straightforward. Review collected by and hosted on G2.com.

The initial setup can be a bit complex, and the cost might be high for smaller businesses. However, once up and running, GridGain proves to be an invaluable tool. Review collected by and hosted on G2.com.

GridGain has enabled us to process and analyze large datasets much more rapidly than traditional disk-based systems. GridGain’s ability to scale horizontally allows us to handle increasing loads by simply adding more nodes to the cluster. By using GridGain as a caching layer, we've seen improvements in the performance of our customer-facing applications. Additionally, GridGain's support for SQL queries on cached data is awesome. Review collected by and hosted on G2.com.

You need to know what you are doing in order to setup Gridgain. Additionally, there is an inherent risk of data volatility in in-memory storage systems - do your homework and make sure you take into consideration backup and effective memory management practices like data persistence, cache eviction and expiry policies. Review collected by and hosted on G2.com.

We used GridGain at my previous company to accelerate our risk and compliance software by speeding the underlying data caching, persistence, and compute layer. GridGain was able to reduce processing times for key calculations from minutes to milliseconds. We chose GridGain for its ANSI SQL support, ACID compliance, support for high volume transactions, and advanced persistence capabilities. Review collected by and hosted on G2.com.

GridGain is a powerful platform designed for complex data requirements. It has more features and is more advanced than competitive products. This, however, made it somewhat more difficult to configure leading to a longer-than-expected implementation. Once fully deployed, it proved to be a robust solution. Review collected by and hosted on G2.com.