U
Upsolver
A no-code data lake engineering platform for agile cloud analytics
About Upsolver
Upsolver Ltd. operates as a data integration platform that enables organizations to manage and process large-scale data streams in real time. The company was founded in 2014 by Ori Rafael and Yoni Eini, who both possess extensive backgrounds in big data, cloud computing, and algorithmic trading. Rafael, serving as CEO, previously led development for an algo-trading company and specialized in low-latency systems. CTO Yoni Eini's experience includes leading high-performance engineering teams and developing large-scale data processing systems. Their combined expertise in handling massive, high-velocity data sets directly informed the creation of Upsolver.
The company's platform is engineered to simplify the complexities of data engineering for cloud environments, particularly for users of Amazon Web Services (AWS) and Snowflake. Upsolver addresses the challenge of building and managing data pipelines that move information from production sources, such as databases and event streams, into analytical repositories like data lakes and data warehouses. This allows businesses to perform analytics on fresh, reliable data without the extensive manual coding and infrastructure management typically required. The platform targets data engineers, data scientists, and developers who need to build scalable and reliable data infrastructure.
Upsolver's business model is subscription-based, offering its platform as a service (SaaS) that can be deployed within a customer's own cloud environment, ensuring data remains secure. The service ingests raw data, including structured database information and semi-structured event streams, and transforms it into an analytics-ready format through a declarative SQL-based interface. Key features include automatic schema detection and evolution, data quality monitoring, and the ability to handle both historical and real-time data ingestion efficiently. This functionality empowers organizations to unlock insights from their operational data, enhancing product development and user experiences. The company has secured significant funding, including a $25 million Series B round, to fuel its growth and product development.
Source: Dealroom company dataAt a glance
- Status
- Acquired
- Founded
- 2014
- Headquarters
- Tel Aviv-Yafo, Israel
- Employees
- 20
- Open positions
- None listed
- Dealroom signal
- 64.2/100
- Sector
- AI, NoSQL, Analytics, Optimization, Business Intelligence, Architecture, Streaming, Campaign Management, Neurology, Core AI, Betting & Gambling, MLops, Hard Tech, AI Data Preparation and Generation
- Business model
- SaaS
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITIONOther financing | Jan 2025 | $0 | — | Qlik | ↗ |
| LATE VCOther financing | Oct 2021 | $30M | $120M | Scale Venture Partners · Wing Venture Capital · Jerusalem Venture Partners · Vertex Ventures US | — |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Upsolver is 3.1K monthly website visits, down 11.4% over the last three months. Upsolver's team declined 23.1% over the past year.
Similar companies
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed3 investors entered at this stage
- AWAdler Chomsky & Warsawasky
Wellborn Ventures
Jerusalem Venture Partners
Series A6 investors entered at this stage
Jeff Rothschild
Wing Venture Capital
Sohaib Abbasi- IRIn Sik Rhee
Vertex Ventures US
Scale Venture Partners
Other known investors1 additional known investor
Qlik
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Upsolver on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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