Amazon RDS for Aurora vs InfluxDB

Overview

InfluxDB

Stacks1.0K

Followers1.2K

Votes175

Amazon Aurora

Stacks806

Followers744

Votes55

Amazon RDS for Aurora vs InfluxDB: What are the differences?

Introduction: Amazon RDS for Aurora and InfluxDB are two popular database solutions used in different scenarios. Understanding the key differences between them is crucial for making an informed decision on which platform to choose for your specific needs.

Database Type: Amazon RDS for Aurora is a relational database management system compatible with MySQL and PostgreSQL, offering features like replication, automatic backups, and read replicas. InfluxDB, on the other hand, is a time-series database designed for handling large volumes of timestamped data efficiently.
Data Model: Amazon RDS for Aurora follows a traditional relational database model with tables, rows, and columns, making it suitable for structured data. InfluxDB, on the contrary, utilizes a specialized time-series data model, optimizing storage and queries for time-series data points.
Scalability: Amazon RDS for Aurora is scalable horizontally through adding read replicas and vertically by upgrading instance sizes. InfluxDB excels in handling time-series data at scale, offering efficient storage and retrieval mechanisms for high-throughput applications.
Use Cases: Amazon RDS for Aurora is well-suited for transactional workloads, online analytical processing (OLAP), and applications requiring complex SQL queries. InfluxDB shines in use cases where collecting, storing, and analyzing time-series data, such as IoT sensor readings and monitoring metrics, is essential.
Community Support: Amazon RDS for Aurora is managed by AWS, providing robust support and infrastructure for enterprise-grade applications. InfluxDB is an open-source project backed by a vibrant community, offering extensive documentation, forums, and plugins for customization.
Cost: Amazon RDS for Aurora is a fully-managed service with pricing based on instance size, storage, and data transfer. InfluxDB can be self-hosted or utilized through cloud providers like AWS, offering flexible pricing based on usage and storage requirements.

In Summary, Amazon RDS for Aurora is a robust choice for traditional relational database workloads, while InfluxDB excels in handling time-series data at scale with a specialized data model and efficient storage mechanisms.

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Advice on InfluxDB, Amazon Aurora

Anonymous

Apr 21, 2020

Needs advice

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

381k views381k

Comments

Benoit

Principal Engineer at Sqreen

Sep 21, 2019

Decided

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

155k views155k

Comments

pionell

Sep 16, 2020

Needs adviceon

MariaDB

I have a lot of data that's currently sitting in a MariaDB database, a lot of tables that weigh 200gb with indexes. Most of the large tables have a date column which is always filtered, but there are usually 4-6 additional columns that are filtered and used for statistics. I'm trying to figure out the best tool for storing and analyzing large amounts of data. Preferably self-hosted or a cheap solution. The current problem I'm running into is speed. Even with pretty good indexes, if I'm trying to load a large dataset, it's pretty slow.

159k views159k

Comments

Detailed Comparison

InfluxDB	Amazon Aurora
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.	Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer	High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
Stacks 1.0K	Stacks 806
Followers 1.2K	Followers 744
Votes 175	Votes 55
Pros & Cons
Pros 59 Time-series data analysis 30 Easy setup, no dependencies 24 Fast, scalable & open source 21 Open source 20 Real-time analytics Cons 4 Instability 1 Proprietary query language 1 HA or Clustering is only in paid version	Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema
Integrations
No integrations available	PostgreSQL MySQL

What are some alternatives to InfluxDB, Amazon Aurora?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

Amazon RDS for Aurora vs InfluxDB: What are the differences?

Database Type: Amazon RDS for Aurora is a relational database management system compatible with MySQL and PostgreSQL, offering features like replication, automatic backups, and read replicas. InfluxDB, on the other hand, is a time-series database designed for handling large volumes of timestamped data efficiently.
Data Model: Amazon RDS for Aurora follows a traditional relational database model with tables, rows, and columns, making it suitable for structured data. InfluxDB, on the contrary, utilizes a specialized time-series data model, optimizing storage and queries for time-series data points.
Scalability: Amazon RDS for Aurora is scalable horizontally through adding read replicas and vertically by upgrading instance sizes. InfluxDB excels in handling time-series data at scale, offering efficient storage and retrieval mechanisms for high-throughput applications.
Use Cases: Amazon RDS for Aurora is well-suited for transactional workloads, online analytical processing (OLAP), and applications requiring complex SQL queries. InfluxDB shines in use cases where collecting, storing, and analyzing time-series data, such as IoT sensor readings and monitoring metrics, is essential.
Community Support: Amazon RDS for Aurora is managed by AWS, providing robust support and infrastructure for enterprise-grade applications. InfluxDB is an open-source project backed by a vibrant community, offering extensive documentation, forums, and plugins for customization.
Cost: Amazon RDS for Aurora is a fully-managed service with pricing based on instance size, storage, and data transfer. InfluxDB can be self-hosted or utilized through cloud providers like AWS, offering flexible pricing based on usage and storage requirements.

Amazon RDS for Aurora vs InfluxDB

Overview