Census vs Cloudera Enterprise

Overview

Cloudera Enterprise

Stacks126

Followers172

Votes5

Census

Stacks22

Followers27

Votes0

Census vs Cloudera Enterprise: What are the differences?

## Introduction
In this comparison, we will explore the key differences between Census and Cloudera Enterprise.

1. **Data Source Compatibility**: Census is specifically designed for collecting and organizing population data, while Cloudera Enterprise is a comprehensive big data platform that supports a wide range of data sources including structured, semi-structured, and unstructured data from various sources like IoT devices, social media, and logs.
   
2. **Functionality and Features**: Census primarily focuses on demographics, population statistics, and geographical data analysis, whereas Cloudera Enterprise provides a plethora of tools and services for data ingestion, storage, processing, and analysis with advanced features like machine learning, data visualization, and real-time data processing.
   
3. **Scalability and Performance**: Cloudera Enterprise is built to handle massive amounts of data and provide high scalability for organizations dealing with big data challenges, while Census is more suitable for static data sets and may not offer the same level of scalability and performance as the Cloudera platform. 
   
4. **Security and Governance**: Cloudera Enterprise comes with robust security features like encryption, access controls, and audit trails to ensure data protection and compliance with regulatory requirements, whereas Census may not offer the same level of security and governance capabilities.
   
5. **Cost and Licensing**: Census may have a simpler pricing model or may be freely accessible for public use, while Cloudera Enterprise typically involves licensing fees and additional costs for advanced features, support, and maintenance, making it more suitable for enterprise use cases with budget considerations.
   
6. **Support and Community**: Cloudera provides dedicated support services, training programs, and an active community of users and developers for assistance, whereas Census may have limited support options and a smaller community presence, which could impact the level of assistance available to users.

In Summary, the key differences between Census and Cloudera Enterprise lie in their data source compatibility, functionality, scalability, security, cost, and support offerings.

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Detailed Comparison

Cloudera Enterprise	Census
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 syncs your data warehouse with CRM & go-to-market tools. Get your customer success, sales & marketing teams on the same page by sharing the same customer data.
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	Turn your warehouse into a Customer Data Platform; Sync with customer facing tools; No more data outages
Statistics
Stacks 126	Stacks 22
Followers 172	Followers 27
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 Redshift Google BigQuery Outreach.io Google Sheets Pipedrive Snowflake Customer.io Iterable Marketo Braze

What are some alternatives to Cloudera Enterprise, Census?

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.

Airbyte

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

Related Comparisons

Census vs Cloudera Enterprise: What are the differences?

## Introduction
In this comparison, we will explore the key differences between Census and Cloudera Enterprise.

1. **Data Source Compatibility**: Census is specifically designed for collecting and organizing population data, while Cloudera Enterprise is a comprehensive big data platform that supports a wide range of data sources including structured, semi-structured, and unstructured data from various sources like IoT devices, social media, and logs.
   
2. **Functionality and Features**: Census primarily focuses on demographics, population statistics, and geographical data analysis, whereas Cloudera Enterprise provides a plethora of tools and services for data ingestion, storage, processing, and analysis with advanced features like machine learning, data visualization, and real-time data processing.
   
3. **Scalability and Performance**: Cloudera Enterprise is built to handle massive amounts of data and provide high scalability for organizations dealing with big data challenges, while Census is more suitable for static data sets and may not offer the same level of scalability and performance as the Cloudera platform. 
   
4. **Security and Governance**: Cloudera Enterprise comes with robust security features like encryption, access controls, and audit trails to ensure data protection and compliance with regulatory requirements, whereas Census may not offer the same level of security and governance capabilities.
   
5. **Cost and Licensing**: Census may have a simpler pricing model or may be freely accessible for public use, while Cloudera Enterprise typically involves licensing fees and additional costs for advanced features, support, and maintenance, making it more suitable for enterprise use cases with budget considerations.
   
6. **Support and Community**: Cloudera provides dedicated support services, training programs, and an active community of users and developers for assistance, whereas Census may have limited support options and a smaller community presence, which could impact the level of assistance available to users.

In Summary, the key differences between Census and Cloudera Enterprise lie in their data source compatibility, functionality, scalability, security, cost, and support offerings.

Census vs Cloudera Enterprise

Overview