Average Ratings 12 Ratings
Average Ratings 0 Ratings
Description
RaimaDB, 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.
Description
TimescaleDB brings the power of PostgreSQL to time-series and event data at any scale. It extends standard Postgres with features like automatic time-based partitioning (hypertables), incremental materialized views, and native time-series functions, making it the most efficient way to handle analytical workloads. Designed for use cases like IoT, DevOps monitoring, crypto markets, and real-time analytics, it ingests millions of rows per second while maintaining sub-second query speeds. Developers can run complex time-based queries, joins, and aggregations using familiar SQL syntax — no new language or database model required. Built-in compression ensures long-term data retention without high storage costs, and automated data management handles rollups and retention policies effortlessly. Its hybrid storage architecture merges row-based performance for live data with columnar efficiency for historical queries. Open-source and 100% PostgreSQL compatible, TimescaleDB integrates with Kafka, S3, and the entire Postgres ecosystem. Trusted by global enterprises, it delivers the performance of a purpose-built time-series system without sacrificing Postgres reliability or flexibility.
API Access
Has API
No
API Access
Has API
No
Integrations
APERIO DataWise
No
AccessOwl
No
BlackBerry QNX
Yes
DataClarity Unlimited Analytics
No
Embedded Linux
Yes
Mode
No
MyDBA.dev
No
Ndustrial Contxt
No
Opralog
No
PostgreSQL
No
Integrations
APERIO DataWise
Yes
AccessOwl
Yes
BlackBerry QNX
No
DataClarity Unlimited Analytics
Yes
Embedded Linux
No
Mode
Yes
MyDBA.dev
Yes
Ndustrial Contxt
Yes
Opralog
Yes
PostgreSQL
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Raima
Founded
1984
Country
United States
Website
raima.com
Vendor Details
Company Name
Tiger Data
Founded
2015
Country
United States
Website
www.tigerdata.com/timescaledb
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Replication
Asynchronous Data Replication
No
Automated Data Retention
No
Continuous Replication
No
Cross-Platform Replication
No
Dashboard
No
Instant Failover
No
Orchestration
No
Remote Database Replication
No
Reporting / Analytics
No
Simulation / Testing
No
Synchronous Data Replication
No
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
Yes
Data Replication
Yes
Data Search
Yes
Data Security
Yes
Database Conversion
Yes
Mobile Access
Yes
Monitoring
Yes
NOSQL
No
Performance Analysis
Yes
Queries
Yes
Relational Interface
Yes
Virtualization
No
IoT
Application Development
Yes
Big Data Analytics
Yes
Configuration Management
Yes
Connectivity Management
Yes
Data Collection
Yes
Data Management
Yes
Device Management
Yes
Performance Management
Yes
Prototyping
Yes
Visualization
No
RDBMS
Backup
Yes
Data Migration
Yes
Monitoring
Yes
Performance Analysis
Yes
Queries
Yes
Storage Optimization
Yes
Relational Database
ACID Compliance
Yes
Data Failure Recovery
Yes
Multi-Platform
Yes
Referential Integrity
Yes
SQL DDL Support
Yes
SQL DML Support
Yes
System Catalog
Yes
Unicode Support
Yes
SQL Server
CPU Monitoring
No
Credential Management
No
Database Servers
No
Deployment Testing
No
Docker Compatible Containers
No
Event Logs
No
History Tracking
No
Patch Management
No
Scheduling
No
Supports Database Clones
No
User Activity Monitoring
No
Virtual Machine Monitoring
No
Product Features
Relational Database
ACID Compliance
No
Data Failure Recovery
No
Multi-Platform
No
Referential Integrity
No
SQL DDL Support
No
SQL DML Support
No
System Catalog
No
Unicode Support
No
