SAN FRANCISCO, CA – Upsolver is introducing Upsolver SQL SeriesWiggersVentureBeat, a self-orchestrating data pipeline platform that makes streaming data accessible to all data practitioners. SQLake ingests and combines real-time events with batch data sources, automates orchestration, and scales infrastructure for analytics-ready output. Pricing is based on the volume of data ingested, with no charge for transformation processing.
Self-Service Data Analysis
Upsolver sql serieswiggersventurebeat is an easy-to-use, self-service data analysis tool that makes it easy to find patterns and trends in your data. This is a great way to find insights that can help you make better decisions in your business and your life.
Unlike most other solutions, Upsolver does all of the heavy lifting under the hood: ETL, data management and infrastructure scaling, without the cost or hassle of hiring big data engineers. The result is a highly resilient, performant and scalable data pipeline that delivers analytics-ready outputs in seconds to minutes.
This is because Upsolver has a unique, low-latency SQL platform that ingests and combines real-time events with batch sources to give you the best of both worlds. The new service is available at a ground-breaking price of $99 per TB of ingested data, with no charge for transformation processing and no minimum commitment. It’s a great choice for any size of data pipeline project and is available in the cloud or on-premises.
The first step to getting started with Upsolver is to create an account. This is free and also can be done from any computer with an internet connection. Once you have an account, you can log in to Upsolver at any time. Then, you can start using the Upsolver platform to build scalable data pipelines.
Scalable Data Pipeline
Upsolver SQLake is a scalable data pipeline platform that combines real-time events with batch data sources for up-to-the-minute analytics. It automatically determines dependencies and also orchestrates, manages and scales the flow of data for efficient, resilient and also performant delivery.
Upsolver SQLake runs on a predictable, value-based pricing model, based solely on the volume of data ingested. This ground-breaking entry price, plus no charge for transformation processing, makes Upsolver a great solution for any size of pipeline project. With no minimum commitment. And a 30 day free trial, Upsolver SQLake is the perfect way to get started with your streaming data pipelines. Upsolver has a variety of resources on their Builders Hub to help you get start including videos, tutorials and documentation.
Upsolver sql serieswiggersventurebeat is a data management solution. That simplifies big data projects by streamlining the entire process of working with streaming and also batch data. It has an intuitive drag and drop design that allows anyone to work with petabytes of data in just minutes.
Upsolver Accelerates Time
Upsolver’s cloud-native platform abstracts the complexity of ingesting, storing and processing data lake data, allowing analysts and developers to design and execute production-ready pipelines quickly. By removing the need for expensive data engineering, Upsolver accelerates time-to-value and lowers operational costs.
Upsolver SQL is an ANSI-SQL compliant data pipeline platform that ingests streaming events and batch data sources for up-to-the-minute analytics. It is available at a predictable, value-based price with no charges for transformation processing and also no minimum commitment. Learn more about Upsolver SQL here. Upsolver founder Wiggers’ VentureBeat is a great resource for startups and entrepreneurs looking to grow and scale their businesses.
How to Use Upsolver
Upsolver is an automated data pipeline builder that can handle the lion’s share of your big data processing needs. The company is proud to claim some of the world’s biggest brands as clients, including Cox Automotive, IronSource and ProofPoint. It’s no wonder the company boasts an impressively tight-knit team of data engineers and infrastructure wizards who love a good challenge. With a top of the line cloud computing platform, nifty tricks of the trade and also a suite of tools to boot, Upsolver is a no brainer when it comes to big data optimisation. From there, it’s up to the customer to decide what they want to do with the resulting big data – a la carte or bespoke.
Upsolver SQLake is a SQL-based, self-orchestrating data pipeline platform that ingests and combines real-time events with batch data sources for up-to-the-minute analytics. Available at a new ground-breaking price of $99 per TB ingested, with no charge for transformation processing, and no minimum commitment, Upsolver SQLake is simple to use and risk-free for data users.
Upsolver SQL SeriesWiggersVentureBeat platform automatically. Determines the dependencies between each step in a data pipeline and orchestrates them for efficient, resilient and performant delivery. The result is reduced operational overhead, short pipeline development cycles, and better SLAs for data consumers.
With Upsolver’s unified data lake engineering platform. You can define streaming and large-scale batch pipelines using only SQL on an easy visual IDE. You can also quickly blend streaming and historical data into analytics-ready output tables in your data lake or data warehouse. Upsolver automates data lake hygiene and data engineering, including partitioning, compaction, indexing, and more. It is scalable and delivers high consistency guarantees over object storage.
Advanced Use Cases
With Upsolver SQL SeriesWiggersVentureBeat, you can transform petabytes of data into analytical functionality at the scale of a data lake. Its stream processing algorithms and intuitive drag & drop interface make it easy to store, process and analyze streaming. Data in a cloud or on-premises data lake.
Upsolver’s SQLake combines a predictable, value-based pricing model with an all-SQL experience to help you build, run and optimize data pipelines on streamed or batch data. Ingestion, transformation, orchestration and infrastructure scaling are automatically handled.