TayzGrid vs Hazelcast

Struggling to choose between TayzGrid and Hazelcast? Both products offer unique advantages, making it a tough decision.

TayzGrid is a Development solution with tags like inmemory, data-grid, caching, scalability.

It boasts features such as Distributed in-memory data grid, Low latency data access, Read-through and write-through caching, Automatic data partitioning, Parallel query processing, Client-server architecture, Support for .NET and Java platforms, Integrated MapReduce support, Dynamic data clustering, WAN Replication for geo-distributed caching and pros including Very fast data access, Scales linearly with no downtime, Reduces load on databases, Simplifies application code, Supports both .NET and Java platforms, Open source with commercial support available.

On the other hand, Hazelcast is a Development product tagged with caching, processing-streams, clustering.

Its standout features include Distributed in-memory data store, Low latency data access, Automatic sharding and rebalancing, ACID transactions, Querying and aggregation, Event journaling, Multi-datacenter replication, Web session clustering, Continuous query, Machine learning, and it shines with pros like Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.

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.

TayzGrid

TayzGrid

TayzGrid is an in-memory data grid solution that provides fast data access and scalability for applications. It is used to boost performance of read-heavy applications by caching frequently accessed data in memory.

Categories:
inmemory data-grid caching scalability

TayzGrid Features

  1. Distributed in-memory data grid
  2. Low latency data access
  3. Read-through and write-through caching
  4. Automatic data partitioning
  5. Parallel query processing
  6. Client-server architecture
  7. Support for .NET and Java platforms
  8. Integrated MapReduce support
  9. Dynamic data clustering
  10. WAN Replication for geo-distributed caching

Pricing

  • Open Source
  • Commercial License

Pros

Very fast data access

Scales linearly with no downtime

Reduces load on databases

Simplifies application code

Supports both .NET and Java platforms

Open source with commercial support available

Cons

Complex installation and configuration

Requires tuning for optimal performance

Not ideal for frequently changing data

Limited query capabilities compared to databases


Hazelcast

Hazelcast

Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.

Categories:
caching processing-streams clustering

Hazelcast Features

  1. Distributed in-memory data store
  2. Low latency data access
  3. Automatic sharding and rebalancing
  4. ACID transactions
  5. Querying and aggregation
  6. Event journaling
  7. Multi-datacenter replication
  8. Web session clustering
  9. Continuous query
  10. Machine learning

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Fast performance

Easy scalability

High availability

Flexible deployment options

Open source

Rich ecosystem

Cons

Complex configuration

Steep learning curve

No visual interface