Compare Grip vs Trendalyze vs Raima

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44%
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72%
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Software Description:

Grip applies machine learning and simulations to analyze a software development process to predict if development will reach business goals and suggest improvements.

Increase user satisfaction, lower development costs, and improve time to market with Grip.

Software Description:

Trendalyze is the first motif discovery platform to visualize, search, and monitor for anomalies and/or recurring patterns in time-series data. It is built specifically to scale for big data and IoT sensor data in order to monetize data patterns.

Our innovative Google-like search approach, based on pattern shapes and deep learning, is both powerful and easy to use. Business professionals can investigate data patterns that reveal the root causes of events and set up real-time monitoring and alerting dashboards to improve outcomes in their industries without having to rely on IT or data scientists.

Software Description:

Raima Database Manager (RDM)™ is a cross-platform, small-footprint, in-memory database developed for resource-constrained environments. It is optimized for performance and reliability and designed to meet future technology demands. RDM provides the highest-functioning database for resource-constrained environments and supports in-memory, hybrid and persistent storage. Multiple API's and configurations provide developers with a wide variety of powerful programming options and functionality. RDM is automated to manage database storage and essentially all the critical functions are self-managed. it frees up time to focus on other things than administration.

Flexible Licensing Options:
RDM Core - This introductory package is typically used in applications designed for edge IoT devices, where performance and footprint are of great importance. Experience direct access to a comprehensive and easy-to-use low-level cursor C API for ultimate control while also providing a C++ API for object-oriented programming.

RDM Enterprise - This package is perfectly designed for application developers who are familiar with SQL and want to decrease development time. It is Raima’s complete product package with the full set of features and functionality. The enterprise package is designed for multiple industry standard APIs to connect to third-party tools for purposes such as replication, reporting, analysis, and administration.g.

Key Features:
ACID-Compliance - ACID transactions guarantee that when changes to a database record are made, data is correct and no data is lost.
Embedded/Real-time Application - Fully supports real-time system performance. RDM has been designed to meet the zero-administration requirements of an embedded application.
Fast In-Memory Performance - Optimized in-memory implementation allows for faster transactions and throughput of data.
SQL Optimization Support - Fully-featured and enhanced SQL support, including SQL PL, Stored Procedure, and Triggers.
Multi-Core Scalability - Maintain performance by adding further resources as demands on the system increase.
Multiple Indexing Methods - B-Tree, Hash, R-/R+ Tree and AVL indexes are fully supported by RDM and available for users.
Platform Compatibility - Develop once, deploy anywhere. Through Raima´s file format, you can mix and match operating systems and hardware.
Snapshots - Snapshot isolation allows concurrent reads to the database when write transactions are occurring.

Features:

Features:

  • Analytics
  • Dashboard
  • Multi-User
  • Notifications
  • Data Export
  • Forecasting
  • Data Import
  • API
  • Data Visualization

Features:

  • Multi-Site
  • Analytics
  • Notifications
  • Third-Party Plugins/Add-Ons
  • Multi-User
  • API
  • External Integrations
  • Data Export
  • Data Import

Summary:

  • Real time analysis of a software development process

Summary:

  • Pinpoint valuable micro trends (motifs or anomalies) interactively or with machine learning.

  • Search to discover similar micro trends in millions of time series to identify all actionable cases.

  • Set up monitoring dashboards and alerts for micro trends occurrences to enable real-time decision making.

Summary:

  • Easily & quickly configurable

  • Efficient & Reliable

  • Solid & Secure Architecture

  • Optimal Performance

  • Decreased time to market

  • Excellent support

  • Free evaluation software

FAQs:

    No FAQs associated with this application.

FAQs:

    What is this service generally used for?
    • Businesses Professionals
    • Engineers
    • Medical Specialists
    • Marketers
    • Financial Analysts
    • Scientists / R&D
    • Citizen Data Scientists
  • Does this service offer guides, tutorials and or customer support?
  • Yes.

  • Does this service offer multi-user capability (e.g. teams)?
  • Yes.

  • What platforms does this service support?
  • The way that Trendalyze works is that you inspect time series data looking for microtrends
    (motifs) that are of interest. Take predictive maintenance as an example. What you are trying to achieve is to predict when a particular asset is likely to fail and repair it before it does so. To do this you require a large body of historical time series data. The standard approach is to have a data scientist build machine learning or other algorithmic models that will make the relevant prediction. The concept behind Trendalyze, however, is that there will be specific micro-trends in the time series data that can be used to make these predictions and once a relevant motif has been found you can use this as your predictor. And, specifically, while it may be relatively easy to spot a pattern – when displayed visually – it is not easy to spot a recurrence of that pattern, let alone any slight variation on that pattern. This is what Trendalyze aims to automate for you. The software applies search principles to look for instances of an identified motif within the dataset being examined. Once discovered you can set threshold parameters around your motif (in other words, supporting variations to the motif), which can be used to predict assets that need maintenance.

  • Who are the main user groups of this service?
  • We developed the first self service platform for the business professional to explore and gain insights from time series data, and monetize them through setting up monitoring dashboards and real time alerts. Micro trends discovery used to be done by experienced data scientists who created complex models. Not any more!

FAQs:

    No FAQs associated with this application.

Publisher:

Founded:
-
Based in:
Naarden
Employees:
2-10
Likes:
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
2
Followers:
107

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
Followers:

Other:

Regional Restrictions:
No restrictions.

Other:

Who uses Trendalyze
  • Personal
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Web App
Mobile Platforms:
  • iOS
  • Android
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses Raima
  • Startups
  • Enterprises
Desktop Platforms:
  • Windows
  • Macintosh
Mobile Platforms:
  • iOS
  • Android
Languages:
English
Regional Restrictions:
No restrictions.
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