Reinventing Data Pipelines for Modern Data


Upsolver's mission is to accelerate the delivery of big data
to the people who need it.

We invent cloud-native technology for data storage and transformation that eliminates friction from data engineering processes
without compromising on flexibility, efficiency or scale.

Who We Are

Upsolver is a closely-knit group of data engineers and infrastructure developers who are obsessed with making data pipelines so easy to create that any data practitioner could do it, even when dealing with streaming and complex data and big data scale. We built the first version of Upsolver for our own use, and enjoyed eating our own dog food so much that we decided to bring this value to every company doing analytics in the cloud. We now claim numerous companies as customers spanning industries as diverse as oil & gas to gaming, feeding both operational analytics and customer-facing data products.

What we lost in the transition to big data

In the early days of Upsolver we recognized that something important was lost in the transition to big data. Decades ago, databases were invented to abstract away the complexity of coding over raw file systems, letting data teams “speak” in schemas and SQL, which let them transform data more easily and iterate faster.

In the new millenium, big data processing platforms like MapReduce and Spark were adopted to slash costs dramatically as volumes and velocity exploded. However, they arrived without many of the abstractions that made databases so easy to use.
The responsibility to bridge this gap fell to the new data engineering profession. They had to not only code transformations, but specify the query execution and orchestrate all of the jobs that would make the transformation cost-effective and performant.

Back to the future

Upsolver’s goal is to re-invent the simplicity of a database on top of the tremendous economic and “power at scale” advantages of a cloud data lake. That is why we focused on using SQL as the lingua franca for designing pipelines, and why we automate all of the pipeline plumbing that used to be taken for granted in traditional databases, but was left behind with the advent of Hadoop and Spark.

By eliminating any compromise across the dimensions of power, simplicity and affordability, we are transforming data pipelines for cloud analytics workloads. Data engineers who use Upsolver become much more productive, delivering data pipelines that normally would have taken months, in hours. Plus, SQL-savvy data consumers such as data analysts and data scientists now can transform complex raw data, without having to spend all of their time on data engineering.

Realizing the potential of the cloud data lake

This will widen the aperture of analytics, unlocking data that heretofore has been difficult to prepare. System logs, clickstreams, IoT sensor feeds, and other continuous data sources will be blended with static and historical data to create query-ready data sets that feed reporting or ad hoc queries with unmatched data freshness, as well as customer-facing data products.

Over the longer term, Upsolver will empower the cloud data lake to be a key component of every company’s data stack, acting as the central hub that connects raw data to analytics systems from cloud data warehouses to ML systems, graph databases and beyond.

Founders

Ori Rafael

CEO & Co-Founder

Ori has a passion for taking technology and making it useful for people and organizations. Before founding Upsolver, Ori performed a variety of technology management roles at IDF’s elite technology intelligence unit, followed by corporate roles. Ori has a BA in Computer Science and an MBA.

Yoni Eini

CTO & Co-Founder

Yoni is a technologist specializing in big data and predictive analytics algorithms. He served in several senior technology roles, including as CTO of the data science division in the IDF’s elite technology intelligence unit. Yoni holds a BA in Mathematics and Computer Science which he started before he was 16.

Board Members

In Sik Rhee

Vertex Ventures, General Partner

 

In Sik Rhee is a hobbist turned technologist turned investor – as such, he enjoys acting on first principles to conceptualize and build next generation technology companies. He has been investing since 2006, and is the founder of Kiva Software, Opsware, and Couchbase.

 

Peter Wagner

Wing Venture Capital, Founding Partner

Peter Wagner is a Founding Partner of Wing. He focuses on the Modern Enterprise, seeking out founders and opportunities that have the potential to transform or create explosive markets. Peter has led investments in dozens of early stage companies, many of which have gone on to complete IPO’s or successful acquisitions. Since leaving Accel in 2011 and founding Wing, Peter invests in and helps to build exciting early stage enterprise technology venture

Gadi Porat

Partner, Head of JVP Cyber Labs, JVP

Gadi has over 20 years of experience in the Hi-Tech industry, in management positions delivering products to global markets. Gadi sits on the board of several of JVP’s companies including Teridion, Iguaz.Io, Vicarius, Valid, Compira Labs, Copilot, Datarix, and Cyberfish. Gadi has an Executive MBA from Bar-Ilan University, Israel and a BA in Economics from Ruppin College, Israel.

Ariel Tseitlin

Partner at Scale Venture Partners

Ariel has a deep background in databases, having come from Oracle, and understands scaling SaaS businesses, having been responsible for Cloud Solutions at Netflix. 

Tomer Ben Moshe

Active Chairman

Tomer spent several years at Amdocs (NYSE:DOX), including as SVP, COO of Amdocs Cloud Services. Before Amdocs, Tomer was the CTO of Microsoft Israel; was co-founder and CEO of Redloopmedia, a mobile advertising network; and also led the Magic SQL product line at Magic (NYSE:MGIC).

Trusted by the best

Upsolver’s innovative streaming data technology is rapidly changing the big data landscape.

An AWS Advanced Technology Partner

World-class investors

Upsolver Core Values

Earn customers’ trust

Always remember that our customers are actually partners for the journey. They provide the feedback required for building the product, they tie their good name to Upsolver’s success and they provide the funds to run the business. Earn their trust by creating value proactively and continuously. Always! be respectful, quick-to-respond and honest, even if it’s uncomfortable.

Treat the company like it’s yours

Take initiative, own issues and resolve them. Instead of saying “it’s not my job” or optimising for short-term results, hold yourself and others accountable for Upsolver’s long-term success. Give feedback and be open to get feedback since we are all working for the same goal.

Disagree and commit

Harmony can be the enemy of excellence and quality. Challenge decisions and deliverables when you disagree, even when doing so is uncomfortable or exhausting. Be tenacious and don’t compromise for the sake of social cohesion. Once a decision is determined, commit wholly.

Obsessively listen

Customers are aware of the problems they want to solve. Obsessively listen to them and ask questions until you truly understand their pain points and what caused them. Don’t block yourself from feedback even if it conflicts with your basic assumptions about our offering. Where there is pain, there is opportunity.

Simplify and invent

Big data is a very complex field so don’t expect customers to just give you solutions to their problems. Be creative by eliminating steps and options that don’t add value to the process. Surprise customers with solutions that are an order of magnitude easier compared to what they know.

Create the best technology for big data

People are used to managing a tradeoff between ease-of-use, cost and flexibility. Growing fast requires we change the “laws of physics” for big data and cancel this tradeoff using the best technology in the market. Always insist on the best possible processing performance, the lowest possible infrastructure cost, elastic scaling and flexibility to implement any data processing use case.

Integrity first

Treat your co-workers, customers and partners like you would like to be treated yourself. Never discriminate, cheat or insult. Create a fun and professional workplace which you would want your closest family to work for. When you make a mistake and you will, communicate it, find a way to fix it and move on.

Powering data lakes for data-intensive companies

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