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  1. Stackups
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  4. Big Data As A Service
  5. Cloudera Enterprise vs Fivetran

Cloudera Enterprise vs Fivetran

OverviewComparisonAlternatives

Overview

Cloudera Enterprise
Cloudera Enterprise
Stacks126
Followers172
Votes5
Fivetran
Fivetran
Stacks116
Followers119
Votes0

Cloudera Enterprise vs Fivetran: What are the differences?

## Key Differences between Cloudera Enterprise and Fivetran

Cloudera Enterprise is a distribution of Hadoop and associated open-source projects, managing data at scale for businesses, whereas Fivetran is a cloud-based automated data integration platform specifically built for modern data stacks. 

1. **Purpose**: Cloudera Enterprise focuses on managing and analyzing big data within an organization through its Hadoop distribution, while Fivetran specializes in securely connecting and centralizing data sources into a data warehouse for easy analysis and reporting.

2. **Deployment**: Cloudera Enterprise requires on-premise infrastructure for deployment, offering both cloud and on-premise solutions, whereas Fivetran is a fully managed cloud service, simplifying data integration without the need for additional infrastructure.

3. **Integration Abilities**: Cloudera Enterprise provides tools for complex data processing, analytics, and machine learning within its ecosystem, while Fivetran offers pre-built connectors and transformations, making data integration across various sources quick and straightforward.

4. **Scalability**: Cloudera Enterprise is designed to scale horizontally across clusters to handle massive amounts of data and workloads, whereas Fivetran automatically scales data pipelines based on the volume and complexity of data being processed.

5. **Cost Model**: Cloudera Enterprise operates on a subscription-based licensing model, allowing flexibility in pricing based on usage and requirements, while Fivetran uses a pay-as-you-go pricing model based on the volume of data processed, offering cost-effective solutions for businesses of all sizes.

6. **Data Security**: Cloudera Enterprise provides advanced security features such as encryption, access controls, auditing, and monitoring tools for data protection, whereas Fivetran ensures end-to-end encryption and compliance with industry standards to safeguard sensitive data during integration and processing.

In Summary, the key differences between Cloudera Enterprise and Fivetran lie in their focus on big data management, deployment options, integration capabilities, scalability, cost models, and data security measures.

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Detailed Comparison

Cloudera Enterprise
Cloudera Enterprise
Fivetran
Fivetran

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 helps you centralize data from disparate sources which you can manage directly from your browser. We extract your data and load it into your data destination.

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
Prebuilt connectors; Ready-to-query schemas; Automated schema migrations; Fully managed data; SQL-based transformations
Statistics
Stacks
126
Stacks
116
Followers
172
Followers
119
Votes
5
Votes
0
Pros & Cons
Pros
  • 1
    Cheeper
  • 1
    Easily management
  • 1
    Hybrid cloud
  • 1
    Multicloud
  • 1
    Scalability
No community feedback yet
Integrations
No integrations available
Amazon DynamoDB
Amazon DynamoDB
AWS Lambda
AWS Lambda
Mailchimp
Mailchimp
Amazon S3
Amazon S3

What are some alternatives to Cloudera Enterprise, Fivetran?

Google BigQuery

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

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

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

Amazon EMR

Amazon EMR

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

Altiscale

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

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

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

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

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.

Airbyte

Airbyte

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

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