Overview
What is Apache Ignite?
Apache Ignite™ is a distributed database for high-performance computing with in-memory speed
Pricing
What is Apache Ignite?
Apache Ignite™ is a distributed database for high-performance computing with in-memory speed
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- No setup fee
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What is Microsoft SQL Server?
Microsoft SQL Server is a relational database.
Product Demos
Apache Ignite Web Console Monitoring
Product Details
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What is Apache Ignite?
Ignite as an in-memory cache or in-memory data grid can assist in database efficiency when deployed over one or more external databases. In addition, helps to build applications that support transactional and analytical workloads by using Ignite as a database that scales beyond available memory capacity. Ignite creates an advanced platform architecture that aggregates multiple back-end systems and databases into a low-latency and shared data store.
Apache Ignite Screenshots
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Apache Ignite Competitors
Apache Ignite Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Reviews
Community Insights
- Business Problems Solved
- Pros
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- Recommendations
Apache Ignite has become a reliable choice for businesses seeking to streamline their data management processes. Users have found that Apache Ignite serves as a seamless caching layer between streaming services and third-party persistence solutions like Hive, providing a reliable and efficient way to store and access data. The in-memory data grid and database capabilities of Apache Ignite have proven invaluable, allowing clients to retrieve data faster and significantly improve overall performance. Additionally, the support for SQL functionality and distributed joins has empowered developers to work efficiently with large datasets. By leveraging Apache Ignite's fast and efficient distributed caching, businesses have been able to overcome challenges related to ease of setup and support, outperforming alternatives like Hazlecast. Moreover, the integration of Apache Ignite with Spark holds promising potential for future use cases, offering additional capabilities for advanced data processing and analytics. With successful applications in legacy system migration, iterative machine learning tasks, and storing live market data from various sources worldwide, Apache Ignite has demonstrated its reliability and scalability as a solution for efficient data management across industries.
Caching Capabilities: Several users have found Apache Ignite's caching capabilities to be very helpful, allowing for easy and distributed joins.
Easy-to-use API: Many reviewers have highly appreciated the ease of use of the Apache Ignite API, finding it intuitive and easy to work with.
High-Quality Documentation: The high quality of the documentation provided by Apache Ignite has greatly contributed to users' understanding of the software.
XML Configuration and Start Issue: Some users have reported that the system can encounter XML configuration and start issues when running on low memory, potentially impacting the performance of Apache Ignite.
Expensive Data Serialization/Deserialization: Several reviewers have mentioned that they found the process of serializing and deserializing data accessed from the application code to be expensive and time-consuming, especially when dealing with transactional replicated caches with strong read-write consistency.
Difficulty with Numeric Datatypes: Users have expressed difficulties when working with numeric datatypes in Apache Ignite. They have stated that having a required value of zero for these datatypes forced them to migrate their data and add fields to existing tables.
Based on user reviews, there are three common recommendations for Apache Ignite:
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Apache Ignite is praised as a great tool for non-transactional DB requirements. Users have found it highly effective in handling non-transactional data, making it a valuable asset for their specific needs.
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Reviewers suggest using Apache Ignite if you have the time to set it up and are looking for specific results. This recommendation indicates that while setting up the tool may require some effort, it can be worthwhile if you have the patience and a clear understanding of the outcomes you hope to achieve.
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Many users would surely recommend Apache Ignite to others. This indicates a high level of satisfaction with the product's performance and its ability to meet their needs.
It is worth noting that some users have found challenges when integrating Apache Ignite with JVM, especially when using tooling that is not based around the Java ecosystem. However, this does not detract from the overall positive recommendations for Apache Ignite.