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  1. Stackups
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  5. Heroku Postgres vs InfluxDB

Heroku Postgres vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
Heroku Postgres
Heroku Postgres
Stacks607
Followers314
Votes38

Heroku Postgres vs InfluxDB: What are the differences?

Heroku Postgres: Heroku's Database-as-a-Service. Based on the most powerful open-source database, PostgreSQL. Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management; 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..

Heroku Postgres can be classified as a tool in the "PostgreSQL as a Service" category, while InfluxDB is grouped under "Databases".

Some of the features offered by Heroku Postgres are:

  • High Availability
  • Rollback
  • Dataclips

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

  • Time-Centric Functions
  • Scalable Metrics
  • Events

"Easy to setup" is the top reason why over 27 developers like Heroku Postgres, 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 2.38K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.

trivago, Redox Engine, and Thumbtack are some of the popular companies that use InfluxDB, whereas Heroku Postgres is used by Luckycycle, FarmLogs, and Watsi. InfluxDB has a broader approval, being mentioned in 119 company stacks & 39 developers stacks; compared to Heroku Postgres, which is listed in 74 company stacks and 39 developer stacks.

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Advice on InfluxDB, Heroku Postgres

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
Jorge
Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

51.8k views51.8k
Comments
Benoit
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

Detailed Comparison

InfluxDB
InfluxDB
Heroku Postgres
Heroku Postgres

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.

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
High Availability;Rollback;Dataclips;Automated Health Checks
Statistics
Stacks
1.0K
Stacks
607
Followers
1.2K
Followers
314
Votes
175
Votes
38
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
  • 29
    Easy to setup
  • 3
    Dataclips for sharing queries
  • 3
    Extremely reliable
  • 3
    Follower databases
Cons
  • 2
    Super expensive
Integrations
No integrations available
PostgreSQL
PostgreSQL
Heroku
Heroku

What are some alternatives to InfluxDB, Heroku Postgres?

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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