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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. AWS Lambda vs InfluxDB

AWS Lambda vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
AWS Lambda
AWS Lambda
Stacks26.0K
Followers18.8K
Votes432

AWS Lambda vs InfluxDB: What are the differences?

Introduction:

AWS Lambda and InfluxDB are two distinct services offered by Amazon Web Services (AWS). While AWS Lambda is a serverless computing platform, InfluxDB is a time series database designed for handling high volumes of time-stamped data. Here are the key differences between the two:

  1. Deployment Model: AWS Lambda follows a serverless deployment model, where the infrastructure management is abstracted away from the user. It allows developers to focus solely on writing the code and lets AWS handle the scaling and provisioning of resources. InfluxDB, on the other hand, requires the user to set up and manage their own infrastructure, providing more flexibility in terms of deployment options.

  2. Computational Function: AWS Lambda is primarily designed to execute small, stateless functions in response to requests or events. It provides event-driven computing, meaning the functions are triggered by events such as changes in data or the occurrence of specific time intervals. InfluxDB, on the other hand, is not a computational function itself but rather a database that stores and retrieves time series data efficiently.

  3. Scaling: AWS Lambda is highly scalable and can automatically scale the number of function instances based on the incoming load. This elasticity allows Lambda to handle varying volumes of requests efficiently. InfluxDB, however, requires manual setup and configuration of scaling mechanisms, making it less dynamic in terms of adapting to changing workloads.

  4. Data Storage: AWS Lambda temporarily stores function-specific data in ephemeral storage for each execution and does not provide a persistent storage solution. InfluxDB, on the other hand, is designed specifically for time series data storage, offering efficient data compression and indexing methods for optimized storage and retrieval of time-tagged information.

  5. Pricing Structure: AWS Lambda pricing is based on the number of requests made and the Compute Time consumed by the functions. InfluxDB, as an open-source database, offers both free and paid versions. The pricing for the paid version depends on factors such as the number of users, data retention policy, and available support options.

  6. Use Cases: AWS Lambda is commonly used for building event-driven architectures, serverless applications, and microservices. It excels in scenarios where quick execution and automatic scaling are required, such as real-time data processing, IoT data ingestion, or web application backends. InfluxDB, on the other hand, is often used for time series data analysis, monitoring and observability, sensor data storage, and analytics platforms that deal with streaming or historical time-tagged data.

In Summary, AWS Lambda is a serverless computing platform that focuses on executing stateless functions in response to events, while InfluxDB is a time series database designed for efficient storage and retrieval of time-tagged data.

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Advice on InfluxDB, AWS Lambda

Tim
Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceonHerokuHerokuAWS LambdaAWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

357k views357k
Comments
Anonymous
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
Mark
Mark

Nov 2, 2020

Needs adviceonMicrosoft AzureMicrosoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

133k views133k
Comments

Detailed Comparison

InfluxDB
InfluxDB
AWS Lambda
AWS Lambda

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.

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model
Statistics
Stacks
1.0K
Stacks
26.0K
Followers
1.2K
Followers
18.8K
Votes
175
Votes
432
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
    HA or Clustering is only in paid version
  • 1
    Proprietary query language
Pros
  • 129
    No infrastructure
  • 83
    Cheap
  • 70
    Quick
  • 59
    Stateless
  • 47
    No deploy, no server, great sleep
Cons
  • 7
    Cant execute ruby or go
  • 3
    Compute time limited
  • 1
    Can't execute PHP w/o significant effort

What are some alternatives to InfluxDB, AWS Lambda?

MongoDB

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

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

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.

Microsoft SQL Server

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

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

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

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

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

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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