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Hazelcast VS Microsoft SQL Server Compact

Compare Hazelcast VS Microsoft SQL Server Compact and see what are their differences

Hazelcast logo Hazelcast

Clustering and highly scalable data distribution platform for Java

Microsoft SQL Server Compact logo Microsoft SQL Server Compact

Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.
  • Hazelcast Landing page
    Landing page //
    2023-05-05
  • Microsoft SQL Server Compact Landing page
    Landing page //
    2023-03-26

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.

Microsoft SQL Server Compact features and specs

  • Lightweight and Portable
    Microsoft SQL Server Compact is a lightweight database solution that can be easily deployed with applications, making it ideal for desktop, mobile, and small-scale web applications.
  • In-Process Database Engine
    The database engine runs within the application process, which eliminates the need for a separate server, reducing system complexity and resource usage.
  • Zero-configuration Needed
    SQL Server Compact requires no installation or configuration, which simplifies deployment for developers and end users alike.
  • Free to Use
    It is free, which makes it a cost-effective solution for small projects or for inclusion in commercial and non-commercial applications.
  • Integration with Visual Studio
    Offers seamless integration with Microsoft Visual Studio, providing an easy-to-use development experience for .NET developers.

Possible disadvantages of Microsoft SQL Server Compact

  • Limited Features
    It lacks some advanced features found in other editions of SQL Server, such as stored procedures, triggers, and advanced security features, which may be necessary for more complex applications.
  • Not Suitable for Large Applications
    Designed for smaller, single-user applications, SQL Server Compact is not suitable for large, multi-user, or distributed database scenarios.
  • End of Life Considerations
    With advancements in other Microsoft data solutions and no major updates being released for SQL Server Compact, developers may need to consider future migration strategies.
  • Limited Storage Capacity
    The maximum database size is constrained, limiting its ability to handle extensive data storage needs.
  • Compatibility Issues
    Being an older technology, it might face compatibility issues with newer technologies and platforms.

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

Microsoft SQL Server Compact videos

No Microsoft SQL Server Compact videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Hazelcast and Microsoft SQL Server Compact)
Databases
37 37%
63% 63
NoSQL Databases
36 36%
64% 64
Key-Value Database
100 100%
0% 0
Development
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 Microsoft SQL Server Compact

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. Hazelcastยฎ Discovery SPI also allows you to use third-party software like Zookeeper, Eureka, Consul, etcd for implementing custom discovery mechanism.
Source: hazelcast.org

Microsoft SQL Server Compact Reviews

We have no reviews of Microsoft SQL Server Compact yet.
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What are some alternatives?

When comparing Hazelcast and Microsoft SQL Server Compact, 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.

CompactView - Viewer for Microsoftยฎ SQL Serverยฎ CE database files (sdf)

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

ObjectBox - ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.

memcached - High-performance, distributed memory object caching system

Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.