RaimaDB

RaimaDB

Raima
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About

Valkey- and Redis OSS-compatible, durable, in-memory database service for ultra-fast performance. Scale to hundreds of millions of requests per second and over one hundred terabytes of storage per cluster. Stores data durably using a multi-AZ transaction log for 99.99% availability and near-instantaneous recovery without data loss. Secure your data with encryption at rest and in transit, private VPC endpoints, and multiple authentication mechanisms, including IAM authentication. Quickly build applications with Valkey and Redis OSS data structures and a rich open source API, and easily integrate with other AWS services. Deliver real-time personalized experiences with the highest relevancy and fastest semantic search experience among popular vector databases on AWS. Simplify application development and improve time-to-market with built-in access to flexible data structures that are available in Valkey and Redis OSS.

About

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies and professionals in search of a solution providing an in-memory database service to manage their data

Audience

Built by Developers, for Developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.2163 per hour
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/memorydb/

Company Information

Raima
Founded: 1984
United States
raima.com

Alternatives

Redis

Redis

Redis Labs

Alternatives

eXtremeDB

eXtremeDB

McObject
Dragonfly

Dragonfly

DragonflyDB

Categories

Categories

Database Features

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

IoT Features

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

RDBMS Features

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Integrations

Amazon Web Services (AWS)
BlackBerry QNX
Embedded Linux
FreeRTOS
INTEGRITY RTOS
QNX Neutrino RTOS
Redis
SymmetricDS
Tableau
VxWorks
Wind River Linux

Integrations

Amazon Web Services (AWS)
BlackBerry QNX
Embedded Linux
FreeRTOS
INTEGRITY RTOS
QNX Neutrino RTOS
Redis
SymmetricDS
Tableau
VxWorks
Wind River Linux
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