Upsolver is a cloud-native data lakehouse platform purpose-built to empower software engineers and data teams to prepare, optimize, and deliver complex application data for analytics and AI with minimal engineering overhead. Operating on AWS, Upsolver provides warehouse-like performance and capabilities without vendor lock-in or the need for complex, bespoke engineering workflows. The platform enables organizations to ingest, synchronize, and transform data from a wide array of operational databases and message queues directly into analytics warehouses and Iceberg data lakes, all in real time. This seamless integration ensures that teams have shared access to up-to-the-minute, synchronized data for their analytics and machine learning needs, while Upsolver handles the background optimizations and maintenance, keeping costs down and performance high. Upsolver uses advanced automation and adaptability features. The platform’s Iceberg Table Optimizer continuously monitors and optimizes both Upsolver-created and externally created Iceberg tables, identifying inefficiencies and delivering immediate performance improvements. Upsolver automates table maintenance, schema evolution, and adaptive optimization, so organizations can handle evolving data structures, late-arriving events, and schema changes without manual intervention. Features like automatic deduplication over large time windows, time travel, and replay capabilities allow users to revisit and process historical data as business needs evolve. Synchronized pipelines ensure reliable, consistent processing of real-time events, with robust handling of network interruptions and automatic recovery, making the platform resilient and production-ready for both startups and large enterprises. Scalability and cost efficiency are central to Upsolver’s architecture. Built on a decoupled, shared-nothing framework, the platform automatically scales to match usage demands, leveraging AWS EC2 Spot instances for cost-effective compute resources. This design ensures that Upsolver can handle high-throughput, mission-critical workloads without sacrificing reliability or incurring unnecessary costs. The platform offers intuitive, expert-made templates and a SQL-based development environment, allowing teams to quickly build, deploy, and manage data pipelines with minimal configuration. With its powerful automation, real-time synchronization, and seamless integration with modern data lakes and warehouses, Upsolver enables organizations to unlock analytics-ready data at scale, delivering business value faster and more efficiently than traditional data engineering solutions.
Upsolver is a data lakehouse and real-time data pipeline platform that offers advanced automation, real-time processing, scalability, and ease of use. Its adaptive optimization engine automates complex aspects of data pipeline management, reducing storage costs and ensuring consistent queries. Upsolver's real-time data processing capability allows organizations to ingest, synchronize, and act on up-to-the-minute data from operational databases and message queues directly into analytics warehouses and Iceberg data lakes. Its SQL-based pipeline automation democratizes access to advanced data engineering and reduces the learning curve for teams. Upsolver's decoupled architecture optimizes compute costs and simplifies integration with major cloud data lakes.
Seller
Upsolver
HQ Location
Sunnyvale, California, USA
Company Website
https://www.upsolver.com/
Contact
+1 8334437545
Year Founded
2014
Cloud-native Lakehouse architecture on AWS
Warehouse-like capabilities without vendor lock-in
Iceberg Table Optimizer for continuous table optimization
Real-time data ingestion from operational stores
Automatic table maintenance and optimization
Reliable, fast, and cost-effective data replication
Source and destination connectors for databases and message queues
Continuous adaptive optimization of change data
English
Where does Upsolver have offices in GCC?
Not available.
Who are Upsolver customers in the Middle East?
Not available.
What is Upsolver local address?
Not available.
Is Upsolver Platform available in Arabic?
Not available.
Does Upsolver platform use AI? And where?
Upsolver is designed to support and accelerate analytics and AI (artificial intelligence) workloads, but it does not directly provide built-in AI or machine learning algorithms within the platform itself. Instead, Upsolver’s core value lies in preparing, optimizing, and delivering high-quality, synchronized data for downstream analytics, machine learning (ML), and AI use cases.
Here’s how and where AI is involved with Upsolver:
Data Preparation for AI/ML: Upsolver empowers software engineers and data teams to ingest, transform, and synchronize complex application data from operational sources into analytics and ML/AI targets (such as data warehouses and data lakes) in minutes. This enables organizations to deliver up-to-the-minute, high-quality data to their AI and ML models, ensuring accurate and timely insights.
Automatic Table Maintenance & Optimization: The platform’s Iceberg Table Optimizer continuously monitors and optimizes Iceberg tables (including those used for ML/AI workloads), ensuring peak query performance for downstream analytics and AI systems. This optimization is adaptive and automated, reducing manual engineering effort and supporting scalable AI/ML pipelines.
Support for Real-Time and Historical Data: Upsolver automatically handles schema evolution, deduplication, late-arriving events, and time-travel data replay, which are critical for building robust and flexible AI/ML data pipelines.
Is Upsolver a Web3 company?
No.
Are there any Web3 components in Upsolver?
No.
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