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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. Airbyte vs Census

Airbyte vs Census

OverviewComparisonAlternatives

Overview

Census
Census
Stacks22
Followers27
Votes0
Airbyte
Airbyte
Stacks105
Followers112
Votes5
GitHub Stars20.0K
Forks4.9K

Airbyte vs Census: What are the differences?

# Introduction
This Markdown code provides a comparison between Airbyte and Census, highlighting key differences between the two platforms.

# 1. **Data Integration Approach**: Airbyte adopts a more open-source, community-driven approach where users can contribute connectors and plugins freely. Census, on the other hand, provides a comprehensive set of connectors built by their team, ensuring reliability and support for various data sources.

# 2. **Data Transformation Capabilities**: Airbyte primarily focuses on data integration, offering limited data transformation features. Census, however, excels in data transformations, providing advanced capabilities to reshape, clean, and enrich data before syncing it to the destination.

# 3. **Pricing Model**: Airbyte is known for its open-source and free-to-use model, suitable for small to medium-sized businesses. In contrast, Census follows a subscription-based pricing model, catering to enterprise clients with advanced data needs and support requirements.

# 4. **Real-Time Syncing**: Census offers real-time syncing capabilities, allowing instant data updates between various sources and destinations. While Airbyte supports incremental data updates, real-time syncing is not a primary focus of the platform.

# 5. **Data Governance and Security**: Census puts a strong emphasis on data governance and security, offering features like role-based access control, data encryption, and compliance certifications. Although Airbyte ensures data encryption and secure connections, it lacks some of the advanced governance features provided by Census.

# 6. **Customer Support and SLAs**: Census provides dedicated customer support, service-level agreements (SLAs), and personalized assistance to enterprise users, ensuring prompt resolution of issues and continuous support. While Airbyte offers community support and resources, premium support options and SLAs are not as robust as those offered by Census.

# Summary
In summary, Airbyte and Census differ in their data integration approach, transformation capabilities, pricing model, real-time syncing features, data governance, and customer support offerings.

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Detailed Comparison

Census
Census
Airbyte
Airbyte

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.

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

Turn your warehouse into a Customer Data Platform; Sync with customer facing tools; No more data outages
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
22
Stacks
105
Followers
27
Followers
112
Votes
0
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 1
    Multiple capabilities
  • 1
    Free
  • 1
    Connect Multiple Sources
  • 1
    Change Data Capture
  • 1
    Easy to use
Integrations
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Outreach.io
Outreach.io
Google Sheets
Google Sheets
Pipedrive
Pipedrive
Snowflake
Snowflake
Customer.io
Customer.io
Iterable
Iterable
Marketo
Marketo
Braze
Braze
Greenhouse
Greenhouse
Google Cloud Platform
Google Cloud Platform
Mixpanel
Mixpanel
Google Analytics
Google Analytics
PostgreSQL
PostgreSQL
MySQL
MySQL
Shopify
Shopify
Amazon EC2
Amazon EC2
Zendesk
Zendesk
Stripe
Stripe

What are some alternatives to Census, Airbyte?

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.

Cloudera Enterprise

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.

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