No SingleStore videos yet. You could help us improve this page by suggesting one.
Based on our record, Hadoop should be more popular than SingleStore. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
SingleStoreDB (formerly MemSQL) (https://singlestore.com) | India | Full Time | Remote SingleStoreDB is a database focused on high performance and hybrid workloads (HTAP). Our customers include half of the top 10 US banks, 2 of the top 3 US telcos, and 12% of the Fortune 100. Our product is a distributed, relational database that handles both transactions and real-time analytics at scale. Querying is done through... - Source: Hacker News / over 1 year ago
Libschema now supports SingleStore in addition to PostgreSQL and MySQL. Source: over 1 year ago
SingleStore (formerly MemSQL) (https://singlestore.com) | Lisbon (Portugal), San Francisco, London (UK), Raleigh (NC), and Seattle | Full Time | Remote SingleStore is a database startup focused on high performance and hybrid workloads (HTAP). Our customers include half of the top 10 US banks, 2 of the top 3 US telcos, and 12% of the fortune 100. You can read all about our product here:... - Source: Hacker News / over 2 years ago
In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 2 days ago
Data analysis software is also widely used in the telecommunications industry to manage network performance, detect fraud, and analyze customer data. Telecommunications companies can use data analysis software to analyze network data in real-time, allowing them to identify and address issues quickly. In addition, data analysis software can help telecommunications companies identify new revenue streams and improve... - Source: dev.to / 14 days ago
Did you check out tools like https://hadoop.apache.org/ ? Source: about 1 year ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.