Splice Machine Database
Splice Machine is a SQL RDBMS powered by Hadoop and Spark. It enables users to power intelligent applications and perform advanced analytics on their big data.
- Since:2012
- Discord:@7ssZvynEgN
- Dockerhub:splice-engine
- Github Topic:splice-machine
- Official:www.splicemachine.com
- Reddit:r/splicemachine
- Repository:github.com
- StackOverflow:[splice-machine]
- Twitter:@splice_machine
#What is Splice Machine?
Splice Machine is a relational database management system designed to work with modern, big data applications. It is built on Apache Hadoop and Apache Spark, offering a distributed architecture that allows it to scale out horizontally as needed. Splice Machine offers SQL compatibility, transactional integrity, and ACID compliance, along with the scalability and flexibility of NoSQL databases.
#Splice Machine Key Features
Here are some of the most recognizable features of Splice Machine:
- Distributed SQL engine: Splice Machine offers a distributed SQL engine that can run on commodity hardware, allowing it to scale out horizontally as needed.
- Hybrid architecture: Splice Machine combines the scale-out capabilities of Hadoop and Spark with the transactional integrity and SQL compatibility of traditional relational databases.
- Real-time updates: Splice Machine supports real-time updates and ACID transactions, making it suitable for use in transactional applications.
- Machine learning integration: Splice Machine includes built-in machine learning capabilities, allowing users to build predictive models using SQL.
- Cloud deployment: Splice Machine can be deployed on-premises, in the cloud, or in hybrid environments.
- Open source: Splice Machine is built on open source technologies, including Apache Hadoop, Apache Spark, and Apache Derby.
#Splice Machine Use-Cases
Here are some use cases for Splice Machine:
- Financial services: Splice Machine is well-suited to transactional applications in the financial services industry, where real-time updates and ACID transactions are essential.
- Retail: Splice Machine can be used to build large-scale, high-performance e-commerce applications that require real-time inventory management and customer analytics.
- Healthcare: Splice Machine can be used to build applications that process large volumes of medical data, such as electronic health records, while maintaining transactional integrity.
#Splice Machine Summary
Splice Machine is a distributed SQL database management system that combines the scalability of Hadoop and Spark with the transactional integrity and SQL compatibility of traditional relational databases, making it suitable for use in big data applications across a variety of industries.
