GridGain In-Memory Computing Platform - Enterprise Edition
GridGain Systems | 8.9.4Linux/Unix, Amazon Linux 2.0 - 64-bit Amazon Machine Image (AMI)
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High-speed data processing and analytics for our AI and ML models
What do you like best about the product?
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.
What do you dislike about the product?
We’ve experienced minor issues with some of our data integrations when it came to scaling our AI and ML models.
What problems is the product solving and how is that benefiting you?
GridGain helps us train and deploy our AI and ML models without costly infrastructure or complex configurations. The in-memory computing delivers high-speed processing at scale which has been key to our handling massive datasets and performing the complex computations we need in AI and ML training. Additionally, GridGain supports near real-time continuous learning against massive amounts of data, eliminating the need for data movement.
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GridGain for modern event stream processing
What do you like best about the product?
- In-stream analystics and transaction processing all in-memory
- transaction persistence to disk
- in-memory first architecture
- high-performance at very low latency
- outstanding professional services and customer support
- new v8.9 integrations with Parquet files, Iceberg tables, and JSON documents
- transaction persistence to disk
- in-memory first architecture
- high-performance at very low latency
- outstanding professional services and customer support
- new v8.9 integrations with Parquet files, Iceberg tables, and JSON documents
What do you dislike about the product?
- some complexity...especially when implementing replication-based multi-cluster availability
- lots of features contribute to complexity
- more feature rich versus the competition = more expensive (but greater ROI)
- lots of features contribute to complexity
- more feature rich versus the competition = more expensive (but greater ROI)
What problems is the product solving and how is that benefiting you?
- rapid analysis of, and transactions on, increasing streaming data volumes web-based activitis and transaction
- accelerating decision making
- empowering decision support
- accelerating decision making
- empowering decision support
high performance, scalable
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
GridGain has drastically improved our ability to process and analyze large volumes of data, leading to faster and more informed decision-making.
Huge performance increases for data processing and analytics
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
GridGain takes care of our data caching, persistence, and the compute layer for custom analytics. GridGain has helped us simplify our data architecture in order to provide major performance improvements since we’re no longer moving data over the network.
Marketing/Lawyer
What do you like best about the product?
Taking the advantage of functional background of the system, GridGain has a lot of advantages like ease of use interfere, qualified customer services. They provide me improved.
What do you dislike about the product?
Although GridGain has lots of advantages, they have limited access for other languages except English etc. On the other hand, It is not a very important issue when using.
What problems is the product solving and how is that benefiting you?
When we try to reach our goals, GridGain always helps us to improve ourselves and business. With the wide range of customer services, they are always nearby with companies.
Recommendations to others considering the product:
Do not hesitate to try.
Marketing Specialist
What do you like best about the product?
GridGain has an ease of use interface and has a good customer service. Therefore, these characteristics of GridGain make it useful. You can deal with waste of time.
What do you dislike about the product?
GridGain has an ease of use interface but sometimes you can be confused that is why language options is limited. If it is a dislike point, you can consider it a little bit.
What problems is the product solving and how is that benefiting you?
GridGain has an extensive customer service. So, taking the advantage of the service, most of problems can be solved in a short time. And also they have a strong platform that you can find solutions.
Recommendations to others considering the product:
Do not hesitate. At least try free version.
GridGain Service Quality
What do you like best about the product?
It is useful and has a user-friendly interface. So If you want to use GridGain, you should not hesitate. I recommend you for all trying to the best performance.
What do you dislike about the product?
On the website, there is not enough information. It is necessary to what you are gonna use and how you are gonna use it. Some letters are looking smaller than others.
What problems is the product solving and how is that benefiting you?
Although some kinds of issues can be looked at, there is an important thing is how you solve the problems. GridGain is called a problem-solver as well. It is reliable.
Recommendations to others considering the product:
You should try at least one time. Do not hesitate.
GridGain is the best in memory computing software.
What do you like best about the product?
This software is very easy to use and provides very speed to the in-memory and provides very much stability to the high speed using applications.
What do you dislike about the product?
There is nothing to dislike in this software but sometimes programming for in-memory becomes lengthy.
What problems is the product solving and how is that benefiting you?
I'm currently using this software to stabilize those apps which need very high performance to run over system and this software is helping me very much.
Fast queries run in memory
What do you like best about the product?
I like that we can run queries many, many times faster - in memory - for our disk based applications, Based on Apache Ignite, it is very OS agnostic and can run on most any platform. Very scaleable.
What do you dislike about the product?
It is tricky to setup, and you need to have advanced coders available to implement the solution.
What problems is the product solving and how is that benefiting you?
We take our query intensive applications and port to use this solution, and they run super fast, must faster user experience than we ever could have without it.
Recommendations to others considering the product:
Just be sure you have the skills to be able to implement the solution in house.
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