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Airbyte Data Integration Platform

as analyzed by

Core Information (according to Gemini Flash Lite 2.0)

Category

Data Integration Platform

Founded

January 1, 2020

Target Demographic

Data engineers, data scientists, and other data professionals

Mission

To make data integration easy, affordable, and accessible to everyone.

Social Media

githubairbytehq
redditairbyte
discordairbyte
twitterairbytehq
youtube@Airbyte
linkedinairbyte

Brand Scores (according to Gemini Flash Lite 2.0)

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Key Data (according to Gemini Flash Lite 2.0)

Headquarters: San Francisco, CA

Market Reach: Global

Market Position: Challenger

Estimated Value: $500,000,000

Users: 10,000

Revenue: Growing rapidly

Growth Rate: Rapid

Major Competitors

RankCompetitorMarket Share
#1Fivetran30.0%
#2Segment20.0%
#3Hevo Data15.0%
#4Stitch Data10.0%
#5Singer.io5.0%
#6AWS Glue5.0%

Related Categories (according to Gemini Flash Lite 2.0)

People & Relations (according to Gemini Flash Lite 2.0)

Notable Elements (according to Gemini Flash Lite 2.0)

Milestones

  • Raised significant funding rounds.
  • Expanded connector library.
  • Launched Airbyte Cloud.
  • Achieved strong community growth.

Recent Developments

  • Release of new connectors.
  • Improvements to the user interface.
  • Enhancements to data transformation capabilities.
  • Integration with new data warehouses.

Analysis (according to Gemini Flash Lite 2.0)

NPS Score: 60.5

Decline Status: Low risk

Cultural Impact: Airbyte has contributed to the open-source data integration landscape, promoting a more accessible and collaborative approach to data movement.

Related Subjects (according to Gemini Flash Lite 2.0)

LLM Query Analysis (according to Gemini Flash Lite 2.0)

About Desired Queries:

These are search queries where Airbyte Data Integration Platform would want to appear in the results, even though they're not directly mentioned in the query.

About Undesired Queries:

These are search queries where Airbyte Data Integration Platform would prefer not to appear in the results, to avoid negative associations.

Desired LLM Queries

"What are the best open-source data integration platforms?"

"How to build data pipelines?"

"What are the key considerations for choosing an ETL tool?"

Undesired LLM Queries

"Is Airbyte difficult to use?"

"What are the limitations of open-source ETL tools?"

"What data integration tools have poor customer support?"