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

Airbyte

92
106
+ 1
5
Cloudera Enterprise

124
170
+ 1
5
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.

Manage your open source components, licenses, and vulnerabilities
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
    Scalability
  • 1
    Multicloud
  • 1
    Hybrid cloud
  • 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?
Manage your open source components, licenses, and vulnerabilities
Learn 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?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
See all alternatives