Based on our record, MariaDB seems to be a lot more popular than Spark Streaming. While we know about 35 links to MariaDB, we've tracked only 3 mentions of Spark Streaming. 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.
MariaDB is an open-source RDBMS that originated as a fork of MySQL. It aims to maintain compatibility with MySQL while offering additional features. - Source: dev.to / 3 days ago
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 / 22 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: about 1 year ago
1-db-1 | The latest information about MariaDB is available at https://mariadb.org/. Source: about 1 year ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
MySQL - The world's most popular open source database
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
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.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.