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Amazon RDS for Aurora vs TempoDB: What are the differences?
Developers describe Amazon RDS for Aurora as "MySQL and PostgreSQL compatible relational database with several times better performance". 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. On the other hand, TempoDB is detailed as "Store & analyze time series data from sensors, smart meters, servers & more". TempoDB is the first database service for time series data (ex: measuring thermostat temperatures, network latencies, heart rates). Time series is a unique Big Data problem that breaks traditional databases (MySQL, MongoDB, etc). Today, businesses spend months and millions attempting to build solutions to manage all this data and yet still fail to store as much as they need or analyze it effectively. TempoDB is a purpose-built database service that enables businesses to store and analyze massive streams of time series data, so they can learn from the past, understand the present, and predict the future.
Amazon RDS for Aurora and TempoDB belong to "SQL Database as a Service" category of the tech stack.
Some of the features offered by Amazon RDS for Aurora are:
- High Throughput with Low Jitter
- Push-button Compute Scaling
- Storage Auto-scaling
On the other hand, TempoDB provides the following key features:
- Flexible, powerful API
- Store as much high resolution (1 ms max) time series data as you need for long range historical analysis
- We guarantee data availability and protect against loss by replicating each live datapoint 3x and using geographically distributed backup environments
Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.
Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library
Pros of Amazon Aurora
- MySQL compatibility14
- Better performance12
- Easy read scalability10
- Speed8
- Low latency read replica7
- High IOPS cost2
- Good cost performance1
Pros of TempoDB
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Cons of Amazon Aurora
- Vendor locking2
- Rigid schema1
Cons of TempoDB
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What is Amazon Aurora?
What is TempoDB?
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What companies use Amazon Aurora?
What companies use TempoDB?
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What tools integrate with Amazon Aurora?
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