Based on our record, Amazon RDS should be more popular than Amazon Kinesis. It has been mentiond 68 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.
Database configuration - we had to modify the database configuration. This is very difficult in various database providers (like RDS) and may even not be possible. This is also not very uniform between various DB engines (like PostgreSQL and MySQL). - Source: dev.to / 3 months ago
Amazon Database Migration Service might initially seem like a perfect tool for a smooth and straightforward migration to RDS. However, our overall experience using it turned out to be closer to an open beta product rather than a production-ready tool for dealing with a critical asset of any company, which is its data. Nevertheless, with the extra adjustments, we made it work for almost all our needs. - Source: dev.to / 3 months ago
RDS - 750 hours per month of db.t2.micro, db.t3.micro, or db.t4g.micro, 20GB of General Purpose (SSD) storage, 20GB of storage backups. - Source: dev.to / 4 months ago
It's easy to get "database managers" and "managed databases" confused, for obvious reasons. Managed databases are a different product to database managers entirely: they are a service that hosts and maintains your database servers for you, so that you only have to worry about the data inside them. Managed databases are a great way to outsource some of your infrastructure overhead if you don't want to host database... - Source: dev.to / 5 months ago
The app can use a local PostgreSQL and has no issues using a cloud service like Amazon RDS. - Source: dev.to / 7 months ago
Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / about 2 months ago
When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / 3 months ago
RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / about 1 year ago
For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
MariaDB - An enhanced, drop-in replacement for MySQL
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
MySQL - The world's most popular open source database
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.