Software Alternatives, Accelerators & Startups

Hazelcast VS Streamdata.io

Compare Hazelcast VS Streamdata.io and see what are their differences

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java

Streamdata.io logo Streamdata.io

Streamdata.io provides a proxy-as-a-service that turns any request-response REST APIs into an event-driven streaming API.
  • Hazelcast Landing page
    Landing page //
    2023-05-05
  • Streamdata.io Landing page
    Landing page //
    2023-04-02

Hazelcast features and specs

  • Scalability
    Hazelcast is designed to scale out horizontally with ease by adding more nodes to the cluster, providing better performance and reliability in distributed environments.
  • In-Memory Data Grid
    Hazelcast stores data in-memory, allowing for extremely fast data access and processing times, which is ideal for applications requiring low latency.
  • High Availability
    Hazelcast offers built-in high availability with its data replication and partitioning features, ensuring data is not lost and the system remains operational during node failures.
  • Ease of Use
    Hazelcast provides a simple and intuitive API, making it accessible to developers and quick to integrate with existing applications.
  • Comprehensive Toolset
    Hazelcast offers a wide range of features including caching, messaging, and distributed computing, all in one platform, which simplifies the architecture by reducing the need for multiple tools.

Possible disadvantages of Hazelcast

  • Memory Usage
    Since Hazelcast operates in-memory, it can consume significant amounts of memory, which may be a concern for applications with large datasets.
  • Complexity in Large Deployments
    While Hazelcast offers scalability, managing and configuring a large-scale deployment can become complex and may require experienced personnel.
  • License Cost
    The enterprise version of Hazelcast, which offers additional features and support, comes with a licensing cost that might not fit all budgets.
  • Limited Language Support
    Hazelcast's strongest support is for Java. While it offers clients for other languages, they may not be as robust or feature-complete as the Java client.
  • Network Latency
    In distributed environments, network latency can impact performance, and as Hazelcast relies on network communication for node interactions, this could be a concern in some scenarios.

Streamdata.io features and specs

No features have been listed yet.

Hazelcast videos

Hazelcast Introduction and cluster demo

More videos:

  • Review - Comparing and Benchmarking Data Grids Apache Ignite vs Hazelcast
  • Demo - Hazelcast Cloud Enterprise - Getting Started Demo Video

Streamdata.io videos

No Streamdata.io videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Hazelcast and Streamdata.io)
Databases
88 88%
12% 12
Big Data
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Data Management
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hazelcast and Streamdata.io

Hazelcast Reviews

HazelCast - Redis Replacement
Hazelcast IMDG provides a Discovery Service Provider Interface (SPI), which allows users to implement custom member discovery mechanisms to deploy Hazelcast IMDG on any platform. Hazelcast® Discovery SPI also allows you to use third-party software like Zookeeper, Eureka, Consul, etcd for implementing custom discovery mechanism.
Source: hazelcast.org

Streamdata.io Reviews

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What are some alternatives?

When comparing Hazelcast and Streamdata.io, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

memcached - High-performance, distributed memory object caching system

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...

OpenZoo - OpenZoo is an open-source, distributed, stream and batch processing framework.