CloudWright vs Osmos Data
Overview
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Detailed Comparison
It is a platform which empowers anyone who can write Python to build reliable, powerful internal tools. By letting developers combine reusable connections to databases, services, and APIs, and by handling common last-mile barriers to internal application development — passwords, deployment, scaling, and monitoring — it lets either technical or semi-technical users translate ideas into tools fast and more reliably. | It is a low-code External Data Platform that helps companies scale their data ingestion while reducing costs and errors. Bring in fresher, cleaner customer and partner data with self-serve data uploaders and no-code ETL data pipelines. |
Custom workflows; File automation; Report generation; Web IDE; Cloud REPL; Cloud First, Cloud Native | No-code data transformation;
User-friendly;
Designed to scale;
Handles billions of records;
Pre-built connectors;
APIs;
Error monitoring and alerts;
Enterprise-grade security |
Statistics | |
Stacks 0 | Stacks 1 |
Followers 6 | Followers 2 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to CloudWright, Osmos Data?
Blazor
Blazor is a .NET web framework that runs in any browser. You author Blazor apps using C#/Razor and HTML.
Stamplay
The API-based development platform enabling developers to do 80% of the job in 1% of the time thanks to: out of the box APIs for users and data, one-click integration with any API, scalable infrastructure and SDKs. Build Rome in a day.
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.
Kumologica
It is the first low-code development solution that run your integration and automation services serverlessly on any cloud. It provides drag and drop visual designer and low code approach to ensure the greatest speed and flexibility to support a wide range of integrations compatible with most of the platforms and cloud providers.
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.
