Google Cloud Dataflow
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Unbench
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Unbench is a B2B hiring platform designed to make tech recruitment faster, smarter, and more affordable. Instead of reaching out to multiple recruiting agencies separately, companies can post a request once and receive pre-vetted candidates from a network of trusted recruiting companies and outsourcing partners.
Our fixed-fee pricing removes the guesswork from hiring costs, helping businesses save up to 40% compared to traditional agencies while reducing time-to-hire. Whether you need full-time employees, contract specialists, or subcontracting solutions, Unbench ensures high-quality matches without long-term commitments.
With a focus on speed, transparency, and flexibility, Unbench helps growing companies and scaleups quickly access top tech talentโeliminating lengthy hiring cycles and making recruitment simple, efficient, and cost-effective.
Google Cloud Dataflow UnbenchNo features have been listed yet.
Unbench's answer:
One Request, Multiple Agencies โ Instead of working with one recruiting agency at a time, Unbench connects you with 20+ vetted agencies at once, delivering pre-screened candidates faster and more efficiently.
Fixed-Fee Hiring โ Unlike traditional agencies that charge a percentage of salary, Unbench offers a clear, fixed-fee model, helping companies save up to 40% on hiring costs without hidden fees or unexpected expenses.
Full-Time & Subcontracting in One Place โ Whether you need permanent employees or short-term specialists, Unbench helps you hire for direct roles, contract positions, or subcontracting solutionsโall in one platform.
Faster Time-to-Hire โ By leveraging our network of agencies and pre-vetted talent pools, Unbench significantly reduces time-to-hire, ensuring businesses get top candidates in days, not weeks.
Unbench's answer:
Unbench offers a faster, more cost-effective way to hire by connecting you with 20+ vetted recruiting agencies through a single request. Unlike traditional agencies, we provide pre-screened candidates at a fixed fee, saving you up to 40% on hiring costs with no hidden fees or long-term commitments. Whether you need full-time hires or subcontractors, Unbench delivers top talent in days, not weeks.
Unbench's answer:
Our primary audience includes growing companies, scaleups, and SMEs that need to hire tech talent quickly and cost-effectively.
Hiring Managers & HR Teams looking for pre-vetted candidates without spending weeks on sourcing and negotiations.
Tech Companies & Startups scaling their teams with full-time employees, contractors, or subcontractors.
Founders & Business Leaders who need a fast, flexible hiring solution without long-term commitments or high agency fees.
Unbench is built for companies that want top talent, fastโwithout the hassle and high costs of traditional recruiting.
Unbench's answer:
Unbench was born out of a real hiring problemโcompanies needed skilled tech talent fast, but traditional hiring processes were slow, expensive, and inefficient.
Many businesses struggled to find the right recruiting agencies, negotiate fair terms, and get quality candidates without long hiring cycles. At the same time, many top-tier specialists sat on the bench in outsourcing companies, waiting for their next project.
Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 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.
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 3 years ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: almost 4 years ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: almost 4 years ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: almost 4 years ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 4 years ago
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Arc.dev - Arc is the remote career platform helping developers build amazing careers from anywhere. Find thousands of top remote developer jobs online all in one place!
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Toptal - Hire the Top 3% of Freelance Talentยฎ. Toptal is an exclusive network of the top freelance software developers, designers, finance experts, product managers, and project managers in the world.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
YouTeam - YouTeam is a new, smarter way to outsource.
