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What is Apache Ignite
Apache ignite is a framework for building Java applications. It provides capabilities for developing servers using the latest technologies and frameworks, including cloud-based deployment options, integration of the Spring Framework, SQL databases and NoSQL databases, template-driven development with build tools to automate application builds and deployment. It handles data with a SQL-like query language, Apache Calcite and Apache Spark.
Apache Ignite is an open source project available on GitHub. Apache ignite is developed and managed by a team at the Yahoo! Research Reosurces, San Francisco.
The project was started at Yahoo! in 2011 as part of a collaboration between Apache’s Project Book and Calcite, Inc., to provide more advanced support for analytics workloads (Pennsylvania State University: http://repository.psu.edu/contrib/). It was originally called Memcached with SQL and had a very close affinity to the popular caching server Memcached, in that both were key-value stores with SQL support.
* Apache Calcite is an open source project that allows developers to use data in their applications without having to deal with information about how the data is stored. It provides support for both relational and NoSQL databases and converts between SQL and other query languages.
* Apache Spark is a data-parallel distributed computing framework. It can execute programs in parallel, which enables high performance, and uses MapReduce as the programming model.
What are the benefits of using Apache Ignite
It’s very fast, and it uses a reactive programming model which allows the system to scale up and down automatically on the fly. Ignite supports the use of traditional SQL (albeit an Apache Calcite dialect) as well as more modern big-data querying techniques such as CQL (a Cassandra clone of SQL). It provides distributed cache capabilities which, unlike a traditional database cache, allows invalidation of data in the cache based on upstream changes rather than having to manually refresh the data. It is essentially a fully distributed in-memory key value store that can scale beyond just processing local data and can be an extremely powerful processing system for big-data type workloads. It has a distributed locks system. It doesn’t have data persistence. This would be a plus depending on your use-case, but it’s important to point out that even though it’s in-memory and can provide extremely fast read/write processing, it isn’t designed to be used as a persistent storage facility. It is also very secure by default so there are no SQL injection risks when using the caches and this is because the queries are written in a format generic enough to port over to any backend store.
What is Redis
Redis is an open source, advanced key-value database package written in an ANSI C language. It is available under the GPL version 2 as a part of the GNU project. Redis is a non-relational database, but it can be used either to store or retrieve objects and links. Redis is extremely fast, flexible and powerful, with advanced data structures and great support for high availability.
Redis is especially effective for applications that require very fast data handling such as caching and storing web sessions, counters, etc. It is very useful as an intermediate layer between a database and application (e.g. Hive/Hadoop) or to store non-relational data.
Installation:
Redis can be installed on Ubuntu with the following command: sudo apt-get install redis-server. A configuration file is created at /etc/redis.conf .
For Windows, the installer is available at the official Redis site.
If you have problems mounting the Redis service, see here: redis through ssh tunneling on Ubuntu.
“Redis is an open source, advanced key-value database package written in an ANSI C language. It is available under the GPL version 2 as a part of the GNU project.”
What are the benefits of using Redis
It supports data types that are not available in a traditional SQL database, but nevertheless form an essential part of most real-life applications. It is fast and scalable, making it a perfect choice for a wide range of use cases, from simple key-value storage to building the back end of web applications. It’s easy to use and develop with, and it integrates with many, many services out of the box. What could be the best solution for your business?
Fast and scalable: Redis is an in-memory, key-value store. Since data is always kept in RAM, it’s blazing fast and does not suffer from any I/O overhead. It scales well on multi-core architectures without any configuration or tuning. And it supports replication, making it a great choice for building high-availability systems.
Redis is an in-memory, key-value store. Since data is always kept in RAM, it’s blazing fast and does not suffer from any I/O overhead. It scales well on multi-core architectures without any configuration or tuning. And it supports replication, making it a great choice for building high-availability systems. Easy to use: developers need only understand the simplest programming model: a set of commands that manipulate keys and values.
How do Apache Ignite and Redis compare
Apache Ignite can be used to replicate data between different Ignite instances, and both Apache Redis and Apache Ignite can scale beyond the traditional clustered database systems. However, Redis has additional features for high availability, such as automatic failover and load balancing. Apache Spark, meanwhile, is gaining traction as a fast and scalable in-memory processing engine for big data workloads, with an SQL interface. It does not replicate data between multiple instances, but rather it’s best suited for working with a cluster of unified nodes containing data and processing power.
All three solutions are open source, giving businesses affordable software that can be customized to the needs of the organization and its users.
Apache Ignite is an in-memory, distributed, fault-tolerant, schema-agnostic data platform whose mission is to provide a cost-effective solution for large volume transactions processing while keeping data in memory and serving as a low latency cache. Apache Ignite also offers high availability with no single point of failure. Apache Ignite is fully compatible with the Apache Cassandra CQL schema, and it uses Apache Cassandra within the JVM to provide all of the benefits of a column-oriented RDBMS with scalability, which is one of the main advantages of Apache Cassandra.
