Amazon DynamoDBย vsย InfluxDB

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Amazon DynamoDB
Amazon DynamoDB

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InfluxDB
InfluxDB

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Amazon DynamoDB vs InfluxDB: What are the differences?

Amazon DynamoDB: Fully managed NoSQL database service. All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use; InfluxDB: An open-source distributed time series database with no external dependencies. 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 DynamoDB can be classified as a tool in the "NoSQL Database as a Service" category, while InfluxDB is grouped under "Databases".

Some of the features offered by Amazon DynamoDB are:

  • Automated Storage Scaling โ€“ There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs.
  • Provisioned Throughput โ€“ When creating a table, simply specify how much request capacity you require. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity. If your throughput requirements change, simply update your table's request capacity using the AWS Management Console or the Amazon DynamoDB APIs. You are still able to achieve your prior throughput levels while scaling is underway.
  • Fully Distributed, Shared Nothing Architecture โ€“ Amazon DynamoDB scales horizontally and can seamlessly scale a single table over hundreds of servers.

On the other hand, InfluxDB provides the following key features:

  • Time-Centric Functions
  • Scalable Metrics
  • Events

"Predictable performance and cost" is the top reason why over 53 developers like Amazon DynamoDB, while over 36 developers mention "Time-series data analysis" as the leading cause for choosing InfluxDB.

InfluxDB is an open source tool with 16.7K GitHub stars and 2.39K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.

According to the StackShare community, Amazon DynamoDB has a broader approval, being mentioned in 444 company stacks & 187 developers stacks; compared to InfluxDB, which is listed in 119 company stacks and 39 developer stacks.

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What is Amazon DynamoDB?

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

What is InfluxDB?

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.
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Why do developers choose Amazon DynamoDB?
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What are some alternatives to Amazon DynamoDB and InfluxDB?
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
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.
Amazon SimpleDB
Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. Amazon SimpleDB provides a simple web services interface to create and store multiple data sets, query your data easily, and return the results. Your data is automatically indexed, making it easy to quickly find the information that you need. There is no need to pre-define a schema or change a schema if new data is added later. And scale-out is as simple as creating new domains, rather than building out new servers.
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.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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Decisions about Amazon DynamoDB and InfluxDB
Doru Mihai
Doru Mihai
Solution Architect ยท | 4 upvotes ยท 454 views
Amazon DynamoDB
Amazon DynamoDB

I use Amazon DynamoDB because it integrates seamlessly with other AWS SaaS solutions and if cost is the primary concern early on, then this will be a better choice when compared to AWS RDS or any other solution that requires the creation of a HA cluster of IaaS components that will cost money just for being there, the costs not being influenced primarily by usage.

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Interest over time
Reviews of Amazon DynamoDB and InfluxDB
Review ofInfluxDBInfluxDB

Influx doesn't currently natively support horizontal distribution. Hard to recommend it until they implement that.

Avatar of YaronWittenstein
Computer Science
Review ofInfluxDBInfluxDB

InfluxDB is a game changer

How developers use Amazon DynamoDB and InfluxDB
Avatar of Karma
Karma uses Amazon DynamoDBAmazon DynamoDB

For most of the stuff we use MySQL. We just use Amazon RDS. But for some stuff we use Amazon DynamoDB. We love DynamoDB. It's amazing. We store usage data in there, for example. I think we have close to seven or eight hundred million records in there and it's scaled like you don't even notice it. You never notice any performance degradation whatsoever. It's insane, and the last time I checked we were paying $150 bucks for that.

Avatar of Volkan ร–zรงelik
Volkan ร–zรงelik uses Amazon DynamoDBAmazon DynamoDB

zerotoherojs.com โ€™s userbase, and course details are stored in DynamoDB tables.

The good thing about AWS DynamoDB is: For the amount of traffic that I have, it is free. It is highly-scalable, it is managed by Amazon, and it is pretty fast.

It is, again, one less thing to worry about (when compared to managing your own MongoDB elsewhere).

Avatar of CloudRepo
CloudRepo uses Amazon DynamoDBAmazon DynamoDB

We store customer metadata in DynamoDB. We decided to use Amazon DynamoDB because it was a fully managed, highly available solution. We didn't want to operate our own SQL server and we wanted to ensure that we built CloudRepo on high availability components so that we could pass that benefit back to our customers.

Avatar of ShadowICT
ShadowICT uses InfluxDBInfluxDB

We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services.

Avatar of nrise
nrise uses Amazon DynamoDBAmazon DynamoDB

๋ช‡๋ช‡ ๋กœ๊ทธ๋Š” ํ˜„์žฌ AWS DynamoDB ์— ๊ธฐ๋ก๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐœ์„ ์„ ํ†ตํ•ด mongodb ๋กœ ์˜ฎ๊ธธ ๊ณ„ํš์„ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์•„์ฃผ ๊ฐ„๋‹จํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์Œ“๋Š” ์šฉ๋„๋กœ๋Š” ๋‚˜์˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ๋‹ค๋งŒ, ์ฟผ๋ฆฌ๊ฐ€ ์•„์ฃผ ์ œํ•œ์ ์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉํ•˜๊ธฐ ์ „์— ๋ฐ˜๋“œ์‹œ DynamoDB ์˜ ์ŠคํŽ™์„ ํ™•์ธํ•  ํ•„์š”๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.

Avatar of Goyoboard
Goyoboard uses InfluxDBInfluxDB

To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable

Avatar of sapslaj
sapslaj uses InfluxDBInfluxDB

InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.

Avatar of HyperTrack
HyperTrack uses Amazon DynamoDBAmazon DynamoDB

To store device health records as it allows super fast writes and range queries.

Avatar of Chris Hartwig
Chris Hartwig uses InfluxDBInfluxDB

All our metrics go through InfluxDB, both applicative and system

How much does Amazon DynamoDB cost?
How much does InfluxDB cost?
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