Based on our record, MariaDB should be more popular than Hadoop. It has been mentiond 34 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.
In a landscape filled with open-source and commercial relational databases, this article focuses on the four most prominent open-source databases - PostgreSQL, MySQL, MariaDB, and SQLite. These DBMS are the most preferred databases per the SO’s 2023 survey. - Source: dev.to / 6 days ago
WARNING: The host '(...)' could not be looked up with /usr/local/bin/resolveip. This probably means that your libc libraries are not 100 % compatible With this binary MariaDB version. The MariaDB daemon, mysqld, should work Normally with the exception that host name resolving will not work. This means that you should use IP addresses instead of hostnames When specifying MariaDB privileges ! Installing... - Source: dev.to / 10 months ago
i'm running MariaDB 10.6 from mariadb.org Repos in Debian 11. For authentication I'm using PAM and Active Directory. Source: 12 months ago
1-db-1 | The latest information about MariaDB is available at https://mariadb.org/. Source: about 1 year ago
Cat /etc/redhat-release Rocky Linux release 9.1 (Blue Onyx) Yum info mariadb-server Last metadata expiration check: 1:42:14 ago on Sun 09 Apr 2023 03:56:00 PM IST. Installed Packages Name : mariadb-server Epoch : 3 Version : 10.5.16 Release : 2.el9_0 Architecture : x86_64 Size : 62 M Source : mariadb-10.5.16-2.el9_0.src.rpm Repository : @System From repo :... Source: about 1 year 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 / 9 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
A copy of Hadoop installed on each of these machines. You can download Hadoop from the Apache website, or you can use a distribution like Cloudera or Hortonworks. - Source: dev.to / over 1 year ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
MySQL - The world's most popular open source database
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
SQLite - SQLite Home Page