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Heimdall Data

Heimdall Data

Overview

Recent Reviews

TrustRadius Insights

Users of Heimdall Data have found success in implementing SQL caching and Read Write splitting for their databases, resulting in improved …
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Pricing

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Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Heimdall Data?

Heimdall Data Features

  • Supported: Access Controls/Permissions
  • Supported: Data Migration
  • Supported: Database Conversion
  • Supported: Multiple Programming Languages Supported
  • Supported: Performance Analysis
  • Supported: Relational
  • Supported: Compatibility Testing
  • Supported: Data Modeling
  • Supported: Debugging
  • Supported: Deployment Management
  • Supported: No-Code
  • Supported: Web App Development
  • Supported: Test Case Tracking
  • Supported: Application Management
  • Supported: Diagnostic Tools
  • Supported: Full Transaction Diagnostics
  • Supported: Root Cause Analysis
  • Supported: Server Monitoring

Heimdall Data Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWeb-Based, Linux
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Comparisons

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Reviews

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Users of Heimdall Data have found success in implementing SQL caching and Read Write splitting for their databases, resulting in improved page loading performance. By utilizing these features, users have been able to significantly reduce the load on their databases, leading to cost savings. The software has also provided instant insight into long-standing database issues, allowing users to collaborate with engineering teams to resolve them. Additionally, Heimdall Data has been effective in pinpointing anomalies and performance degradations, with the support team providing valuable insight and assistance. Users have praised the outstanding support provided by Heimdall Data, citing quick response times and effective problem resolution. The ease of installation and configuration has also impressed users, with one-click cache options and built-in charts and graphs for monitoring performance improvements. Overall, Heimdall Data has proven to be a valuable tool for improving database performance, reducing costs, and resolving persistent application issues efficiently.

Easy Configuration: Multiple users have found Heimdall Data easy to configure for read-write splitting, caching, and database scaling. They appreciate that it does not require any code changes and provides a significant performance boost.

Quick Installation: Reviewers have mentioned that installing Heimdall Data is incredibly easy compared to other solutions. They were able to get up and running in just a few minutes, making it a hassle-free process.

Insightful Analytics: Users value Heimdall Data's ability to provide insight into database traffic and real-time query optimization. This feature enables them to distribute database load efficiently, handle caching effectively, and ensure failover and high availability.

Insufficient Support Experience: Some reviewers have expressed dissatisfaction with the level of support provided by Heimdall Data. They feel that the support experience could be improved to better assist users in resolving issues and answering questions.

Steep Price for Small Websites: Several reviewers, particularly those with small scientific grant funded websites, have mentioned that they find the price of Heimdall Data to be steep. Although they understand the value it provides in terms of improved performance, they believe it may not be cost-effective for their specific needs.

Challenging Configuration for Read-Write Split: A number of users have mentioned that configuring read-write split rules in Heimdall Data can be challenging. They suggest that implementing simpler toggles or a more user-friendly interface would enhance the ease of configuration process.

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