Need advice about which tool to choose?Ask the StackShare community!

Airbyte

78
97
+ 1
5
Cloudera Enterprise

123
168
+ 1
2
Add tool

Airbyte vs Cloudera Enterprise: What are the differences?

  1. Data Integration Approach: Airbyte is an open-source platform that focuses on data integration through a standardized approach using connectors to collect and move data. On the other hand, Cloudera Enterprise offers a comprehensive data platform with integrated modules for data storage, processing, and analytics, including tools like Apache Hadoop and Apache Spark.
  2. Pricing Model: Airbyte follows a community-driven model where the core platform is free to use, while additional features may require payment. In contrast, Cloudera Enterprise has a subscription-based pricing model with different tiers based on the features and support levels required by the organization.
  3. Data Sources: Airbyte supports a wide range of data sources from databases, APIs, and files, with a focus on ease of setup and use. Cloudera Enterprise also supports various data sources but is more tailored towards handling large-scale, complex data processing tasks in enterprise environments.
  4. Scalability: Airbyte is designed to be highly scalable and can be deployed on-premises or in the cloud to meet the needs of growing data pipelines. Cloudera Enterprise, with its distributed computing framework, offers robust scalability features for handling big data workloads and complex analytics processes.
  5. Community Support: Airbyte benefits from a growing community of developers and users who contribute to the platform's development, providing feedback, and creating new connectors. Cloudera Enterprise, as a commercial product, offers dedicated support services and documentation for its customers to ensure smooth operations and troubleshooting.
  6. Security Features: Airbyte focuses on providing secure data integration capabilities with features like encryption and access control. In comparison, Cloudera Enterprise emphasizes enterprise-grade security measures such as data governance, compliance, and role-based access controls to protect sensitive data assets.

In Summary, Airbyte emphasizes a standardized data integration approach and community-driven model, while Cloudera Enterprise offers a comprehensive data platform with scalability, enterprise-grade security, and subscription-based pricing.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Airbyte
Pros of Cloudera Enterprise
  • 1
    Easy to use
  • 1
    Change Data Capture
  • 1
    Connect Multiple Sources
  • 1
    Free
  • 1
    Multiple capabilities
  • 1
    Easily management
  • 1
    Cheeper

Sign up to add or upvote prosMake informed product decisions

- No public GitHub repository available -

What is Airbyte?

It is an open-source data integration platform that syncs data from applications, APIs & databases to data warehouses lakes & DBs.

What is Cloudera Enterprise?

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

Need advice about which tool to choose?Ask the StackShare community!

Jobs that mention Airbyte and Cloudera Enterprise as a desired skillset
What companies use Airbyte?
What companies use Cloudera Enterprise?
See which teams inside your own company are using Airbyte or Cloudera Enterprise.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Airbyte?
What tools integrate with Cloudera Enterprise?

Sign up to get full access to all the tool integrationsMake informed product decisions

What are some alternatives to Airbyte and Cloudera Enterprise?
Google BigQuery
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.
Amazon Redshift
It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Amazon EMR
It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
Stitch
Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.
See all alternatives