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Amazon Redshift
Amazon Redshift

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Amazon Redshift vs InfluxDB: What are the differences?

Amazon Redshift: Fast, fully managed, petabyte-scale data warehouse service. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions; 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 Redshift and InfluxDB are primarily classified as "Big Data as a Service" and "Databases" tools respectively.

Some of the features offered by Amazon Redshift are:

  • Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries. Redshift has a massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations to take advantage of all available resources.
  • Scalable- With a few clicks of the AWS Management Console or a simple API call, you can easily scale the number of nodes in your data warehouse up or down as your performance or capacity needs change.
  • No Up-Front Costs- You pay only for the resources you provision. You can choose On-Demand pricing with no up-front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.

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

  • Time-Centric Functions
  • Scalable Metrics
  • Events

"Data Warehousing" is the primary reason why developers consider Amazon Redshift over the competitors, whereas "Time-series data analysis" was stated as the key factor in picking InfluxDB.

InfluxDB is an open source tool with 16.6K GitHub stars and 2.37K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.

According to the StackShare community, Amazon Redshift has a broader approval, being mentioned in 267 company stacks & 63 developers stacks; compared to InfluxDB, which is listed in 116 company stacks and 38 developer stacks.

- No public GitHub repository available -

What is Amazon Redshift?

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

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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    What are some alternatives to Amazon Redshift and InfluxDB?
    Google BigQuery
    Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.
    Amazon Athena
    Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
    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.
    Amazon Redshift Spectrum
    With Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    See all alternatives
    Decisions about Amazon Redshift and InfluxDB
    Ankit Sobti
    Ankit Sobti
    CTO at Postman Inc · | 10 upvotes · 71.7K views
    atPostmanPostman
    dbt
    dbt
    Amazon Redshift
    Amazon Redshift
    Stitch
    Stitch
    Looker
    Looker

    Looker , Stitch , Amazon Redshift , dbt

    We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.

    For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.

    See more
    Interest over time
    Reviews of Amazon Redshift 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 Redshift and InfluxDB
    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 Olo
    Olo uses Amazon RedshiftAmazon Redshift

    Aggressive archiving of historical data to keep the production database as small as possible. Using our in-house soon-to-be-open-sourced ETL library, SharpShifter.

    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 Chris Hartwig
    Chris Hartwig uses InfluxDBInfluxDB

    All our metrics go through InfluxDB, both applicative and system

    Avatar of Christian Moeller
    Christian Moeller uses Amazon RedshiftAmazon Redshift

    Connected to BI (Pentaho)

    Avatar of Kovid Rathee
    Kovid Rathee uses Amazon RedshiftAmazon Redshift

    OLAP and BI

    How much does Amazon Redshift cost?
    How much does InfluxDB cost?
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