Name: Apache Geode
Rating: 7 (1 reviews)
Author: Apache

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Apache Geode has proven to be a valuable tool for establishing connections between web servers and integrating with Oracle. Users have found that they can build high-speed data-intensive applications that meet performance requirements at any scale. One of the standout benefits of Apache Geode is its ability to handle large amounts of data with low latency, resulting in excellent performance. Users have taken advantage of this by utilizing Apache Geode as an in-memory cache to store user details, thereby improving performance by reducing the need for frequent database access. Additionally, Apache Geode serves as an in-memory database, allowing users to store and enhance the read latency of vast amounts of data. This integration with Oracle database has been particularly effective in caching user profiles and configurations, achieving high throughput. Furthermore, Apache Geode provides a persistency module for data storage, adding to its versatility in handling various use cases. Overall, users have experienced highly improved performance when implementing Apache Geode, making it an attractive option for those seeking robust solutions for connection issues and efficient management of data loads.

High performance: Users have consistently praised Apache Geode for its high performance in real-time data processing and analytics. Several reviewers have mentioned that the system can handle massive volumes of data with little delay, making it a popular choice for organizations dealing with large datasets.

Scalability: Many users appreciate the scalability of Apache Geode. They note that the system can handle thousands of concurrent transactions while maintaining data consistency. This capability is seen as one of the best features of Apache Geode and has been positively highlighted by multiple reviewers.

Distributed architecture: The distributed architecture of Apache Geode is highly valued by users. It allows for efficient handling of huge amounts of data and ensures optimized caching capabilities. Reviewers have praised this feature, highlighting how it contributes to the reliability and power of Apache Geode as an in-memory database solution.

Difficult setup and configuration: Several users have found Apache Geode to be challenging to set up and configure compared to simpler options. This can potentially cause difficulties for new users who may require more time and effort to get the system up and running smoothly.

Limited suitability for complex data processing: Some reviewers have mentioned that Apache Geode may not be optimally suited for applications that require more complex data processing or analysis. It may lack certain advanced features or capabilities that are necessary for handling intricate data operations.

Open source accessibility: The fact that Apache Geode is open source can be seen as a drawback by some users, as it allows anyone to access and modify the source code. This raises concerns about the security and stability of the system, especially if inexperienced individuals make unauthorized changes without proper oversight.

Apache Geode is a data management platform developed by the Apache Software Foundation. According to the vendor, it aims to provide real-time, consistent access to data-intensive applications in widely distributed cloud architectures. The platform is designed to offer low latency, high concurrency data management solutions for building high-speed, data-intensive applications that can meet performance requirements at any scale. Apache Geode is suitable for enterprise customers of any size, ranging from small startups to large organizations. It is utilized by various industries, including financial services, e-commerce, gaming, telecommunications, and healthcare.

## Key Features

**Replication and Partitioning**: According to the vendor, Apache Geode allows for easy partitioning or replication of data between nodes, enabling scalable performance based on specific needs. It ensures durability through redundant in-memory copies and disk-based persistence.

**Persistence**: The vendor claims that Apache Geode offers optimized parallel recovery of nodes or an entire cluster with its shared-nothing architecture and super fast write-ahead-logging (WAL) persistence.

**Performance**: According to the vendor, Apache Geode delivers low latency and linear-scaling performance for transactions, reads, writes, and query processing of both indexed and unindexed data.

**In-Memory Storage**: The vendor states that Apache Geode provides blazing-fast in-memory storage optimized for large heaps. It also offers additional features such as off-heap storage, compression, disk-overflow, eviction, and expiration of data.

**Functions**: According to the vendor, Apache Geode supports the deployment and execution of distributed location-aware user functions, allowing for fast parallel processing on nodes storing relevant sharded data. It also enables the retrying of failed operations on replicant nodes.

**Transactions**: The vendor claims that Apache Geode efficiently supports coordinated operations on colocated data with ACID distributed transactions. Transactions can be initiated or suspended by either a client or a server.

**OQL and Indexes**: According to the vendor, Apache Geode's Object Query Language (OQL) allows for distributed query execution on both hot and cold data, offering SQL-like capabilities, including joins. Multiple types of indexes can be defined and consistently maintained across the cluster.

**Events**: The vendor states that clients can be notified about server-side data events, and servers can react synchronously or asynchronously with guaranteed delivery of ordered events.

**Clustering**: According to the vendor, Apache Geode features highly scalable and robust advanced clustering technology, including failure detection, dynamic scaling, and network-partition detection algorithms.

**Multi-Cluster**: The vendor claims that Geode clusters can be replicated over wide area networks (WAN) in various topologies, such as active-active, active-passive, ring, hub-spoke, and star configurations.

Apache Geode is a distributed in-memory database designed to support low latency, high concurrency solutions, available free and open source since 2002. With it, users can build high-speed, data-intensive applications that elastically meet performance requirements.  Apache Geode blends techniques for data replication, partitioning and distributed processing.

MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

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MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.

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Some cloud platforms offer options for using a database as a service, without physically launching a virtual machine instance for the database. In this configuration, application owners do not have to install and maintain the database on their own. Instead, the database service provider takes responsibility for installing and maintaining the database, and application owners pay according to their usage. For example, Amazon Web Services provides three database services as part of its cloud offering, SimpleDB, a NoSQL key-value store, Amazon Relational Database Service, an SQL-based database service with a MySQL interface, and DynamoDB.

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Apache Geode - Docker by William Markito

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The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are characterized by a collaborative, consensus based development process, an open and pragmatic software license, and a desire to create high quality software that leads the way in its field.

We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

How fast the database performs under data load

Availability is the probability that the NoSQL database will be available to preform its function when called upon.

Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.

Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.

NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.

NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data,  but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.

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We are trying to use it as an experimental alternative to redis as a low latency, in-memory server to save copies of static dataloads (configuration data, data that does not change frequently etc) that is saved in our Database (Mysql). Everytime when a request is made for the above mentioned data, instead of loading the data from DB we pull it from Apache Geode

Super Fast data pull/push
Provided ACID transactions, so it works like a SQL Database
Provides replication & partitioning, so our data is never lost and extraction is super fast. NoSql like properties

Needs more supporting languages. Out of box Python, Nodejs adapters would be wonderful
Currently it supports just KV Store. But if we could cache documents or timeseries data would be great
Needs more community support, documentation.

Still experimenting so difficult to quote
For a small size project/teams might be an overkill as it still has certain learning curve
For Medium to large projects with complex Data Structures that need to be queried with a fast o/p it definitely works

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Apache Geode

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What is Apache Geode?