Compare - Cazena VS Fabra

Here’s the difference between Cazena and Fabra. The comparison is based on pricing, deployment, business model, and other important factors.

About Cazena

Cazena provides managed cloud service for end-to-end big data service. It acts as an extension to the enterprise infrastructure and enables to run workloads in the cloud. It has intelligence built in to deploy infrastructure for Hadoop, MPP SQL, Spark or search based on the workload. Existing BI tools could be used to analyze the data as if it were present in local. Its use cases include overloaded datacenter, simplifying analytic pipelines, as a sandbox environment, as a data lake etc.

About Fabra

"Fabra helps B2B SaaS companies ingest external user data into their application. Our vision is for every SaaS application to natively integrate with the Modern Data Stack, empowering their users to seamlessly adopt data-driven processes. After building SaaS products for years, we know that working with external data can be a nightmare. And it's only getting worse, with an ever-growing number of data sources and infinite formats, quirks, and data types. With Fabra, we're making it possible for applications to define their expected data once, and receive it in that format every time, regardless of where it's coming from or how it's shaped. To do so, we're building a powerful toolbox of automatic validation, cleanup, and transformation functions that enable users to easily onboard their data into your system. A core value at Fabra is providing the best developer experience. First of all, we make integrating with Fabra effortless regardless of what your architecture looks like. Our system can sync data directly into your application database, send data to a webhook, and more. You can also use our pre-built and customizable UI components to offer data onboarding to your users immediately, or build your UI entirely from scratch by calling our APIs. Once you're integrated, we provide maximum visibility and control over the data ingestion process. You can setup notifications for any failures and leverage a variety of tools to diagnose and solve issues."

Comparison Table

Overview
CategoriesData LakesETL Tools
StageMid StageEarly Stage
Target SegmentEnterprise, Mid sizeEnterprise, SMB's
DeploymentSaaSOpen Source
Business ModelCommercialOpen Source
PricingContact SalesFreemium
LocationUSSan Francisco, CA
Companies using it
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