
Snowflake
Google BigQuery
Qubole
Databricks
Amazon EMR
Amazon Redshift
Google Cloud Dataflow
Azure HDInsight
HttpMaster
Hoppscotch
API Fortress
Postman
Assertible
Request inspector
SoapSonar
CurlHub.io
Core HttpMaster features are: * HttpMaster project to store complete definition of API calls in one single place. * Broad set of http properties. * Dynamic parameters to simulate variations of input data or create global API values. * Response data validation with logical expressions. * Request chaining to use data from previous request with the next request. * Extensive data upload support, including 'multipart/form-data'. * Request data builder for creating request body with an optional dynamic parameters. * Request item execution with detailed progress monitoring. * Execution groups to create batches of requests. * Comprehensive execution data review and management. * Additional tools (basic request tool for ad-hoc execution, command line interface, OpenAPI import, etc).
Snowflake
HttpMasterHttpMaster is well-suited for developers, QA engineers, and testers who need to perform end-to-end testing of web APIs. It's particularly beneficial for those who require a versatile testing solution with both automated and manual testing features. It's also ideal for teams that need to validate the functionality, performance, and security of their web apps through an intuitive platform.
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HttpMaster's answer:
Developers and testers.
HttpMaster's answer:
HttpMaster's answer:
Performance, simple UI, resource friendly.
HttpMaster's answer:
Microsoft .NET.
Based on our record, Snowflake seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Snowflake, a data warehousing company founded by ex-Oracle and ex-VectorWise experts, responded with a blog post that critically reviewed Databricks' findings, reported different results for the same benchmark, and claimed comparable price/performance to Databricks. - Source: dev.to / about 4 years ago
Snowflake: Snowflake is fast, and works well as a product analytics database. - Source: dev.to / over 4 years ago
If you just go to snowflake.com you can sign up for a demo account for free for a month and I'm fairly certain you can get more than one of these accounts (I would recycle emails doing it all the time.) Once you have an account there's lots of docs and videos out there either using the Database via their UI or via python using their connector. They also have a pyspark connector but you might want to just learn... Source: almost 5 years ago
Early stage funding & VCs clearly demarcate between tech companies and tech enabled companies. But, once the PE comes into the picture at the scale of BlackStone, the border between doordash.com and snowflake.com starts to blur. The motivation is to make some bucks by going to IPO and they know how to get it done. Source: almost 5 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Hoppscotch - Open source API development ecosystem
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
API Fortress - API performance, accuracy, and uptime testing. Without code.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โWhat is Apache Spark?
Postman - The Collaboration Platform for API Development