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etleap vs Google BigQuery: What are the differences?
What is etleap? An ETL solution for engineering, analytics, and data science teams. It is an ETL solution for engineering, analytics, and data science teams to build data pipelines and data warehouses without friction. Run it as a hosted solution or in your AWS VPC.
What is Google BigQuery? Analyze terabytes of data in seconds. 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..
etleap and Google BigQuery belong to "Big Data as a Service" category of the tech stack.
Pros of etleap
Pros of Google BigQuery
- High Performance28
- Easy to use25
- Fully managed service22
- Cheap Pricing19
- Process hundreds of GB in seconds16
- Big Data12
- Full table scans in seconds, no indexes needed11
- Always on, no per-hour costs8
- Good combination with fluentd6
- Machine learning4
- Easy to manage1
- Easy to learn0
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Cons of etleap
Cons of Google BigQuery
- You can't unit test changes in BQ data1
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What is etleap?
What is Google BigQuery?
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What companies use etleap?
What companies use Google BigQuery?
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What tools integrate with etleap?
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