Name: Sqream DB
Author: Sqream Technologies

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Sqream DB is a GPU-based SQL database solution that aims to empower organizations of all sizes to perform complex analytics on large datasets. According to the vendor, Sqream DB leverages the power of GPUs for parallel data processing, enabling quick and efficient analysis of large volumes of data. The GPU-accelerated engine synchronizes available resources, such as CPU, GPU, and RAM, to provide speed, scalability, and efficiency.

**Key Features**:

**GPU-based Big Data Platform**: According to the vendor, Sqream DB harnesses the power of GPUs for parallel data processing, allowing organizations to analyze large volumes of data quickly and efficiently.

**SQL Database**: Sqream DB is a SQL database that supports ANSI-SQL syntax, making it easy for users to write and run queries using familiar SQL commands. The vendor claims it seamlessly integrates with existing analytics workflows through the built-in SQream Acceleration Studio or third-party BI tools.

**High Connectivity**: Sqream DB offers support for industry-standard ODBC and JDBC connectors, as well as various programming languages like Python, C# .Net, C++, and Java. According to the vendor, it allows users to connect their preferred BI tools, ensuring compatibility with a wide range of data integration and visualization solutions.

**Compression**: Sqream DB automatically compresses all ingested data at a 5:1 ratio, optimizing data storage efficiency and reducing storage requirements. The vendor states that this feature helps organizations save on storage costs while maintaining fast query performance and data accessibility.

**Compute and Storage Separation**: According to the vendor, Sqream DB separates compute and storage, enabling flexible scaling and resource allocation. Organizations can store or retrieve data from a single or multiple storage sources, while compute units can run on multiple machines.

**Performance Optimization**: Sqream DB optimizes performance by synchronizing all available resources, including CPU, GPU, and RAM, for complex analytical tasks. The vendor claims it performs vertical and horizontal partitioning of data, distributing the workload across multiple compute units for efficient data processing.

**Advanced SQL Functionality**: Sqream DB supports complex SQL queries, including JOINs, aggregations, and window functions, allowing users to perform advanced analytics on their data.

**Data Compression**: Sqream DB automatically compresses all ingested data at a 5:1 ratio, reducing storage requirements and optimizing data storage efficiency.

**Flexible Scaling**: According to the vendor, Sqream DB allows for flexible scaling and resource allocation by separating compute and storage. Organizations can scale their compute resources independently and optimize data processing based on their specific needs.

**Columnar Storage**: Sqream DB stores data tables by columns, eliminating unnecessary data reading for each analytical workload and improving query performance.

The Sqream DB is a NoSQL database from Israeli software company Sqream Technologies.

MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

Shared

Serverless

Dedicated

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

On-Demand - Write Operation

On-Demand Read Operation

On-Demand Data Stored

On-Demand Point-in-Time Recovery

On-Demand Snapshot

On-Demand Restoring a Backup

On-Demand Global Tables

On-Demand Streams

On-Demand Data Requests Outside AWS Regions

Provisioned - Write Operation

Provisioned - Read Operation

Provisioned - Data Stored

Provisioned - Point-in-Time Recovery

Provisioned - Snapshot

Provisioned - Restoring a Backup

Provisioned - Global Tables

Provisioned - Streams

Provisioned - Data Requests Outside AWS Regions

Sqream DB

Some cloud platforms offer options for using a database as a service, without physically launching a virtual machine instance for the database. In this configuration, application owners do not have to install and maintain the database on their own. Instead, the database service provider takes responsibility for installing and maintaining the database, and application owners pay according to their usage. For example, Amazon Web Services provides three database services as part of its cloud offering, SimpleDB, a NoSQL key-value store, Amazon Relational Database Service, an SQL-based database service with a MySQL interface, and DynamoDB.

NoSQL Databases

SQream DB Geospatial Analysis Demo

Clickstream analysis on hundreds of millions of rows with SQream usingTableau visualizer - Insights in under 2 seconds

SQream DB Demo of Clickstream Analysis

SQream DB Usage Demo with Jupyter Notebook and Tableau

SQream Demo for Telecoms RNC Event Handling

GenomeStack SQream DB Demo

SQream Demo for Telecoms RNC Event Handling GPEH

SQream DB v2020.1 - Product review and demo

Sqream Technologies

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

Performance

How fast the database performs under data load

Availability

Availability is the probability that the NoSQL database will be available to preform its function when called upon.

Concurrency

Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.

Security

Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.

Scalability

NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.

Data model flexibility

NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data,  but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.

Deployment model flexibility

Can be deployed on-premise or in the cloud.

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Sqream DB

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What is Sqream DB?