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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
What is Hypertune?
Hypertune is a remarkably flexible platform that specializes in the management of feature flags, A/B testing, analytics, and application configuration. It boasts a robust architecture that ensures end-to-end type safety and incorporates a version control system inspired by Git, along with the ability to conduct local, synchronous, in-memory evaluations of flags.
You can create type-safe, customized input parameters like the current User or Organization to refine feature flag rules, which helps in precisely targeting the intended audience. Additionally, the platform supports the development of reusable variables, such as user segments, which can be applied across different feature flags, thereby simplifying the debugging process for specific users.
Hypertune offers an array of options including A/B testing, percentage-based rollouts, multivariate tests, and machine learning loops, enabling a seamless process for rolling out, testing, and optimizing new features. You also have the capability to log analytics events using type-safe custom payloads and can generate dynamic funnels and charts on the dashboard for evaluating the impact of each feature release.
Furthermore, the SDK allows for initialization with only the essential feature flags, permitting partial evaluations of flag logic at the edge, which significantly boosts both performance and security. This diverse set of features positions Hypertune as an exceptional tool for developers who are eager to innovate and enhance their applications, ensuring they can adapt swiftly to changing requirements. With its user-friendly interface and powerful functionality, Hypertune empowers teams to make informed decisions based on real-time data.
What is Feedio ?
Feedio provides a centralized platform for product managers to efficiently handle feature requests coming from both clients and internal teams. This solution not only helps in identifying the most valuable features for customers but also facilitates communication by notifying them when those features are released. Designed to simplify the management of feature requests, Feedio addresses the common challenge product managers face in tracking inputs from various channels, including emails, Slack, and client-facing teams. By consolidating all requests in one place, Feedio enhances the ability of product managers to:
- Engage directly with users to gain insights into their specific use cases.
- Add relevance to these requests to extract meaningful insights.
- Prioritize product development based on customer interactions.
Additionally, the platform ensures that clients are informed when new features are launched, further strengthening the relationship between product teams and users. This proactive communication allows for better transparency and fosters trust.
Media
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Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$0
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Hypertune
Company Location
United Kingdom
Company Website
www.hypertune.com
Company Facts
Organization Name
Walkover
Date Founded
2010
Company Location
India
Company Website
viasocket.com/feedio/
Categories and Features
Feature Management
A/B Testing
Entitlement Management
Feature Alerts
Feature Flag / Toggle
Feature Rollout Management
KPI Monitoring
Kill Switch
Multivariate Testing
Product Experimentation
Whitelist Creation
Categories and Features
Feature Management
A/B Testing
Entitlement Management
Feature Alerts
Feature Flag / Toggle
Feature Rollout Management
KPI Monitoring
Kill Switch
Multivariate Testing
Product Experimentation
Whitelist Creation