Airbyte vs Cloudera Enterprise

Overview

Cloudera Enterprise

Stacks126

Followers172

Votes5

Airbyte

Stacks105

Followers112

Votes5

GitHub Stars20.0K

Forks4.9K

Airbyte vs Cloudera Enterprise: What are the differences?

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.
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.
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.
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.
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.
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.

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Detailed Comparison

Cloudera Enterprise	Airbyte
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.	It is an open-source data integration platform that syncs data from applications, APIs & databases to data warehouses lakes & DBs.
Unified – one integrated system, bringing diverse users and application workloads to one pool of data on common infrastructure; no data movement required;Secure – perimeter security, authentication, granular authorization, and data protection;Governed – enterprise-grade data auditing, data lineage, and data discovery;Managed – native high-availability, fault-tolerance and self-healing storage, automated backup and disaster recovery, and advanced system and data management;Open – Apache-licensed open source to ensure your data and applications remain yours, and an open platform to connect with all of your existing investments in technology and skills	Scheduled updates; Manual full refresh; Real-time monitoring; Debugging autonomy; Optional normalized schemas; Full control over the data; Benefit from the long tail of connectors, and adapt them to your needs; Build connectors in the language of your choice, as they run in Docker containers
Statistics
GitHub Stars -	GitHub Stars 20.0K
GitHub Forks -	GitHub Forks 4.9K
Stacks 126	Stacks 105
Followers 172	Followers 112
Votes 5	Votes 5
Pros & Cons
Pros 1 Cheeper 1 Easily management 1 Hybrid cloud 1 Multicloud 1 Scalability	Pros 1 Multiple capabilities 1 Free 1 Connect Multiple Sources 1 Change Data Capture 1 Easy to use
Integrations
No integrations available	Greenhouse Google Cloud Platform Mixpanel Google Analytics PostgreSQL MySQL Shopify Amazon EC2 Zendesk Stripe

What are some alternatives to Cloudera Enterprise, Airbyte?

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.

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

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.

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.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Dremio

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

Treasure Data

Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.

Related Comparisons

Airbyte vs Cloudera Enterprise: What are the differences?

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.
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.
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.
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.
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.
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.

Airbyte vs Cloudera Enterprise

Overview