Today, we are thrilled to announce the release of GridGain Platform v8.9, adding new and enhanced integrations with popular data formats – including Apache Parquet, Apache Iceberg, CSV, and JSON – in order to enable more complete real-time analysis of your increasingly complex enterprise data.
These enhancements make large volumes of enterprise data in data lakes and semi-structured document…
The GridGain Systems In-Memory Computing Blog
This six-minute Micro Learning Unit explores how distributed data is implemented in Apache Ignite and identifies solutions to three key data challenges: hardware capacity, hardware reliability, and performance issues.
Capacity: It’s more efficient to scale data capacity horizontally than vertically. For example, extremely fast CPUs typically cost several times as much as two slightly slower…
Focusing on how Apache Ignite handles transactions with third-party persistence, this article is the last part of the Apache Ignite Transactions Architecture series.
In the previous articles in this series, we discussed a range of topics associated with Apache Ignite's transactions handling in its Key-Value API.
In the first article, we briefly reviewed the two-phase commit protocol and…
In this article, we will be discussing transaction handling at the level of Ignite persistence.
In the previous article in this series, we looked at failover and recovery. Here are topics we will cover in the rest of this series:
Transaction handling at the level of Ignite persistence (WAL, checkpointing, and more)
Transaction handling at the level of 3rd party persistence.
Those who use…
In this article, we will focus on how Apache Ignite handles failover and recovery during transaction execution.
In the previous article in this series, we looked at concurrency modes and isolation levels. Here are topics we will cover in
the rest of this series:
Failover and recovery [this article]
Transaction handling at the level of Ignite persistence (WAL, checkpointing, and more)…
This article on pessimistic and optimistic concurrency is the second in the Apache Ignite Transactions Architecture series.
In the previous article, we looked at the two-phase commit protocol and how it worked with various types of cluster nodes in Apache Ignite. Here are topics we will cover in the rest of this series:
Pessimistic and optimistic concurrency [this article]
Failover and…
September 27, 2023
This article on Apache Ignite and the two-phase commit protocol is the first in a series of five posts regarding the Apache Ignite transactions architecture.
Apache Ignite supports a range of different Application Programming Interfaces (APIs). In this multi-part article series, we will take a more detailed look at how Apache Ignite manages transactions in its key-value API and some of the…
GridGain is happy to announce that we have released our latest Micro Learning Unit, a 10-minute, hands-on training course on how to execute Your First Queries With Apache Ignite.
In 10 minutes, we take you through writing your first queries using the three techniques of standard SQL, SQL via Java APIs, and Ignite’s KeyValue pair API.
This course is designed for you to follow along. Don’t…
Telecommunication companies can transform their operations into data-driven enterprises by utilizing the Digital Integration Hub Architecture, which is built on GridGain's in-memory computing platform. In this blog post, we will explore how the Digital Integration Hub architecture can assist telecommunication companies in enhancing customer insights, creating additional revenue streams, and…
First, there were DBMSs and data warehouses. Then came data lakes and event stream processing
platforms. Now, the most advanced data solutions are Unified Real-Time Data Platforms. But what are
they?
Unified Real-Time Data Platforms simplify and optimize data architectures by combining
transactional, stream, and analytical processing across data silos into a single “unified” platform. These…