Based on monthly keyword-search data
Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops.
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Palantir Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops. | 669.2K | +65% |
Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops. | |||
2 | Apache Airflow Apache Airflow orchestrates ETL pipelines to schedule, monitor, optimize workflows | 66.5K | +103% |
Apache Airflow orchestrates ETL pipelines to schedule, monitor, optimize workflows | |||
3 | Domo Domo ETL pipelines integrate sources, transform data, and automate reliable workflows. | 141.3K | +14% |
Domo ETL pipelines integrate sources, transform data, and automate reliable workflows. | |||
4 | Databricks Databricks accelerates ETL with scalable Spark pipelines and Delta Lake reliability | 112.9K | +8% |
Databricks accelerates ETL with scalable Spark pipelines and Delta Lake reliability | |||
5 | Polars Polars accelerates ETL; automate and optimize transforms with a fast Rust DataFrame engine | 40.8K | +2% |
Polars accelerates ETL; automate and optimize transforms with a fast Rust DataFrame engine |
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Palantir Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops. | 669.2K | +65% |
Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops. | |||
2 | Domo Domo ETL pipelines integrate sources, transform data, and automate reliable workflows. | 141.3K | +14% |
Domo ETL pipelines integrate sources, transform data, and automate reliable workflows. | |||
3 | Databricks Databricks accelerates ETL with scalable Spark pipelines and Delta Lake reliability | 112.9K | +8% |
Databricks accelerates ETL with scalable Spark pipelines and Delta Lake reliability | |||
4 | Apache Airflow Apache Airflow orchestrates ETL pipelines to schedule, monitor, optimize workflows | 66.5K | +103% |
Apache Airflow orchestrates ETL pipelines to schedule, monitor, optimize workflows | |||
5 | Polars Polars accelerates ETL; automate and optimize transforms with a fast Rust DataFrame engine | 40.8K | +2% |
Polars accelerates ETL; automate and optimize transforms with a fast Rust DataFrame engine |
Rank | Product | Monthly VolumeVol | 3-Month GrowthGrowth |
---|---|---|---|
1 | Apache Airflow Apache Airflow orchestrates ETL pipelines to schedule, monitor, optimize workflows | 66.5K | +103% |
Apache Airflow orchestrates ETL pipelines to schedule, monitor, optimize workflows | |||
2 | Palantir Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops. | 669.2K | +65% |
Palantir streamlines ETL with visual pipelines, integrate sources, validate, and automate ops. | |||
3 | Salesforce Data Cloud Salesforce Data Cloud integrates sources and automates ETL to unify customer profiles | 7.3K | +30% |
Salesforce Data Cloud integrates sources and automates ETL to unify customer profiles | |||
4 | Tinybird With Tinybird, ingest events, transform via SQL pipes, and deliver low-latency analytics. | 5.9K | +27% |
With Tinybird, ingest events, transform via SQL pipes, and deliver low-latency analytics. | |||
5 | Domo Domo ETL pipelines integrate sources, transform data, and automate reliable workflows. | 141.3K | +14% |
Domo ETL pipelines integrate sources, transform data, and automate reliable workflows. |
AI is likely to replace jobs that do not require human elements such as empathy or creativity (such as a therapist or an artist). However, commercial AI adoption and job displacement will not happen as fast as many believe. Most people won't notice a change for at least 2-3 years, with a major economic shift happing over the next decade. This means you have time to adapt, ideally learning to use AI to your advantage in order to remain productive.
Most models learn patterns from data rather than "understanding" like humans. For example, AI has learned that when it sees: "Think outside the..." it will have learned to predict the next word to be "box". As technology advances, and more data centers are built, AI will continuously improve on its pattern recognition skills.
You can trust AI answers like you trust a human's answers — with the understanding that even humans with the best intentions can be wrong sometimes. However, as AI technology advances, these mistakes will become less frequent, eventually to the point of near perfection.
Your data is stored on the server of whichever company's product you are using, unless you are running an open-source AI model on your personal computer. "Safe" can be an objective term, depending how much you trust that company to protect your data.
Not yet, but most experts agree that AGI is only a matter of time. Some believe AGI, a term used to mark the moment in which artificial intelligence surpasses human intelligence, will be achieved in as few as 2-3 years, while other say 5-10 years.
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