Telerik Reporting vs GridGain In-Memory Data Fabric

Struggling to choose between Telerik Reporting and GridGain In-Memory Data Fabric? Both products offer unique advantages, making it a tough decision.

Telerik Reporting is a Development solution with tags like reporting, data-visualization, charts, dashboards.

It boasts features such as Drag-and-drop report designer, Wide variety of data connectors, Support for popular formats like PDF, Excel, Word, HTML, Interactive reports with charts, maps, parameters, Schedule and subscribe to reports, REST API and .NET API for automation, Integration with popular platforms like ASP.NET, .NET Core, WPF, Responsive report viewing on any device and pros including User-friendly visual designer, Rich formatting options for reports, Fast report generation, Flexible delivery options, Broad data source support, APIs allow automation and integration.

On the other hand, GridGain In-Memory Data Fabric is a Development product tagged with inmemory, database, data-grid, distributed-computing.

Its standout features include In-memory data storage and processing, Distributed caching, In-memory SQL queries, In-memory compute grid, High availability through data replication, Horizontal scalability, ACID transactions, ANSI SQL support, Streaming and CEP, Machine learning and predictive analytics, and it shines with pros like Very fast performance for data-intensive workloads, Low latency for real-time applications, Scales horizontally, Supports both SQL and key-value APIs, Open source and commercially supported options available.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Telerik Reporting

Telerik Reporting

Telerik Reporting is a report generation tool that allows users to create richly formatted reports from various data sources. It supports features like charts, maps, tables, shapes and more to build interactive reports.

Categories:
reporting data-visualization charts dashboards

Telerik Reporting Features

  1. Drag-and-drop report designer
  2. Wide variety of data connectors
  3. Support for popular formats like PDF, Excel, Word, HTML
  4. Interactive reports with charts, maps, parameters
  5. Schedule and subscribe to reports
  6. REST API and .NET API for automation
  7. Integration with popular platforms like ASP.NET, .NET Core, WPF
  8. Responsive report viewing on any device

Pricing

  • Free
  • Subscription-Based

Pros

User-friendly visual designer

Rich formatting options for reports

Fast report generation

Flexible delivery options

Broad data source support

APIs allow automation and integration

Cons

Steep learning curve for advanced features

Limited built-in scheduling options

Additional costs for some advanced features


GridGain In-Memory Data Fabric

GridGain In-Memory Data Fabric

GridGain In-Memory Data Fabric is an in-memory computing platform that provides in-memory speed and massive scalability for data-intensive applications. It allows organizations to process transactions and analyze data in real-time.

Categories:
inmemory database data-grid distributed-computing

GridGain In-Memory Data Fabric Features

  1. In-memory data storage and processing
  2. Distributed caching
  3. In-memory SQL queries
  4. In-memory compute grid
  5. High availability through data replication
  6. Horizontal scalability
  7. ACID transactions
  8. ANSI SQL support
  9. Streaming and CEP
  10. Machine learning and predictive analytics

Pricing

  • Open Source
  • Freemium
  • Subscription-Based

Pros

Very fast performance for data-intensive workloads

Low latency for real-time applications

Scales horizontally

Supports both SQL and key-value APIs

Open source and commercially supported options available

Cons

Can require large amounts of RAM to store data in-memory

Not ideal for storing large amounts of infrequently accessed data

Complexity of distributed system configuration and management