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DragonflyDragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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RaimaDBRaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Description
Valkey is a robust, in-memory database service that is compatible with Redis OSS, delivering exceptional speed and performance. It can efficiently handle hundreds of millions of requests per second and supports over one hundred terabytes of storage within a single cluster. The service ensures data durability via a multi-AZ transaction log, providing an impressive 99.99% availability and the capability for nearly instantaneous recovery without any data loss. To protect your data, it offers encryption both at rest and in transit, as well as private VPC endpoints and various authentication options, including IAM authentication. Developers can quickly create applications utilizing Valkey and Redis OSS data structures along with a comprehensive open-source API, allowing for seamless integration with other AWS services. By leveraging this powerful infrastructure, you can deliver real-time, personalized experiences with top-notch relevancy and the quickest semantic search capabilities found among leading vector databases on AWS. This service not only streamlines application development but also enhances time-to-market by providing easy access to versatile data structures inherent in Valkey and Redis OSS, thus enabling developers to focus on innovation rather than infrastructure.
Description
Oracle Coherence stands out as the premier in-memory data grid solution, empowering organizations to effectively scale their critical applications by offering rapid access to often-used data. With the growth of data volumes and the rising expectations of customers—propelled by the internet of things, social media, mobile technology, cloud computing, and the prevalence of always-connected devices—there is an escalating demand for real-time data management, relief for overloaded shared data services, and assurance of availability. The recent update, version 14.1.1, introduces a unique scalable messaging feature, enables polyglot programming on GraalVM at the grid level, incorporates distributed tracing within the grid, and ensures certification with JDK 11. Coherence manages data by storing each item across several members, including one primary and multiple backup copies, and it does not deem any modification complete until the backups are securely created. This design guarantees that your data grid remains resilient to failures, whether they affect a single JVM or an entire data center, thereby enhancing reliability and performance. Ultimately, Oracle Coherence facilitates a robust framework for organizations to thrive in a data-driven world.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Kubernetes
Oracle Reports
RTView
Redis
Integrations
Amazon Web Services (AWS)
Kubernetes
Oracle Reports
RTView
Redis
Pricing Details
$0.2163 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/memorydb/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/middleware/technologies/coherence.html
Product Features
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
