The SingleStore platform combines transactional, analytical, and vector data workloads in a real-time, unified, distributed SQL database that is MySQL and MongoDB wire protocol-compatible. SingleStore also combines the capabilities of traditional databases with the scalability of the cloud, making it suitable for a range of data-driven applications.
SingleStore provides a unified platform that supports both transactional and analytical workloads, enabling real-time data processing and analysis. It is optimized for speed, offering low-latency data access and high throughput. The platform's distributed architecture allows it to scale horizontally, handling large volumes of data across multiple nodes. Additionally, it supports SQL, making it accessible for users familiar with standard query languages.
Key features of SingleStore include real-time data ingestion, which allows for the immediate processing of incoming data, and a fully distributed SQL execution engine that enhances performance. The platform also offers in-memory rowstore and disk-based columnstore, providing flexibility in data storage and retrieval methods. Furthermore, SingleStore ensures high availability and disaster recovery with its multi-cloud, multi-region deployment options.
When evaluating SingleStore, you should consider its ability to reduce query response times significantly, improve operational efficiencies with real-time analytics, and lower infrastructure costs through efficient resource utilization. Additionally, the platform's support for mixed workloads enables businesses to streamline their data operations, reducing the need for multiple specialized databases.
SingleStore is implemented across various industries, including finance, healthcare, and retail. In finance, it helps with real-time risk analysis and fraud detection. In healthcare, it supports advanced analytics for patient data management. Retailers use SingleStore to optimize supply chain operations and personalize customer experiences through real-time data insights.
Pricing for SingleStore is based on a subscription model, with costs determined by the resources allocated and the level of support required. It offers flexible licensing options to accommodate different business needs. SingleStore's customer support is known for its responsiveness and expertise, providing users with the necessary assistance to maximize the platform's potential.
In summary, SingleStore offers a versatile and efficient cloud database solution suitable for handling diverse data workloads with high performance and scalability.
SQream DB is a relational database management systems (RDBMS) that uses graphics processing units(GPUs) from Nvidia. SQream DB is designed for big data analytics using the Structured Query Language (SQL).
SQreamDB is a GPU DB. It is not suitable for real-time oltp of course.
Cassandra is best suited for OLTP database use cases, when you need a scalable database (instead of SQL server, Postgres)
SQream is a GPU database suited for OLAP purposes. It's the best suite for a very large data warehouse, very large queries needed mass parallel activity since GPU is great in massive parallel workload.
Also, SQream is quite cheap since we need only one server with a GPU card, the best GPU card the better since we will have more CPU activity. It's only for a very big data warehouse, not for small ones.
Your best DB for 40+ TB is Apache Spark, Drill and the Hadoop stack, in the cloud.
Use the public cloud provider's elastic store (S3, Azure BLOB, google drive) and then stand up Apache Spark on a cluster sized to run your queries within 20 minutes. Based on my experience (Azure BLOB store, Databricks, PySpark) you may need around 500 32GB nodes for reading 40 TB of data.
Costs can be contained by running your own clusters but Databricks manage clusters for you.
I would recommend optimizing your 40TB data store into the Databricks delta format after an initial parse.
Morten, the most popular comparisons of SQream can be found here: www.itcentralstation.com
The top ones include Cassandra, MemSQL, MongoDB, and Vertica.