Top 7 Open-Source Alternatives to Sprinkle Data

Sprinkle Data

Sprinkle is a no-code ETL and Data Analytics Tool

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Pricing:

Paid
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$299.0 / Monthly (15 Users)
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Product categories

Analytics Automation Big Data Big Data Analytics Business Productivity Data Analysis Data Cleansing Data Dashboard Data Extraction Data Integration Database Tools ETL

Summary

The top open-source alternatives to Sprinkle Data are Databricks, Keboola, and Google BigQuery. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.

Databricks Landing Page
1

Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
Pricing:
- Open Source
#Data Science #Data Dashboard #Database Tools 17 social mentions
Keboola Landing Page
2

Keboola

Keboola is a next-gen data platform. It simplifies and accelerates data engineering, so companies get better results from their data operations.
Pricing:
- Open Source
- Freemium
- Free Trial
#Data Integration #ETL #Data Extraction 2 social mentions
Google BigQuery Landing Page
3

Google BigQuery

A fully managed data warehouse for large-scale data analytics.
Pricing:
- Open Source
#Data Management #Data Warehousing #Data Dashboard 35 social mentions
Avo Landing Page
4

Avo

Prevent human errors when implementing analytics
Pricing:
- Open Source
#Data Dashboard #Productivity #No Code 1 social mentions
Rakam Landing Page
5

Rakam

Custom analytics platform
Pricing:
- Open Source
#Data Dashboard #Database Tools #Data Science And Machine Learning 1 social mentions
Airbyte Landing Page
6

Airbyte

Replicate data in minutes with prebuilt & custom connectors
Pricing:
- Open Source
#Developer Tools #Tech #Data Integration 45 social mentions
Apache Airflow Landing Page
7

Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Pricing:
- Open Source
#Workflows #Workflow Automation #Data Pipelines 66 social mentions