Long term data ingestion plan: roll your own singer + cron, airbyte, meltano, something else?

This page summarizes the projects mentioned and recommended in the original post on /r/dataengineering

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • airbyte

    The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

  • I need a simple way to rapidly setup a data ingestion (Extract1, from above) from services such as Quickbooks, Hubspot, SnipeIT, Google Sheets, and store the data in S3, acting as a lake today. I've looked at singer framework, Airbyte, and just found Meltano but this is an actively developed space. Ideally this is a cost-effective approach which simultaneously doesn't require significant effort to maintain.

  • pipelinewise-target-s3-csv

    Singer.io Target for CSV on S3 - PipelineWise compatible

  • Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • tap-hubspot

  • Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.

  • tap-gsheets

    A Singer.io tap for Google Sheets data

  • Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.

  • Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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