Company profile: XtremeData
1.1 - Company Overview
Company description
- Provider of dbX, a parallel database engine for analytics designed to run on commodity hardware in virtualized private and public cloud infrastructures. Features include parallel architecture, vector execution, SQL acceleration, dynamic data redistribution, automatic load balancing, multi-tenancy, and scalability to hundreds of terabytes. Offers deployment on AWS, Google Cloud, Azure, and on-premise, plus tutorials, documentation, and support.
Products and services
- Flexible Deployment Options: Multi-cloud configuration enabling AWS, Google Cloud, Azure, and on‑premise installs within virtualized private/public infrastructures, ensuring consistent dbX operation and elastic scaling on commodity hardware
- DbX Engine: Commodity‑hardware‑optimized parallel database for analytics featuring parallel architecture, vector execution, SQL acceleration, dynamic redistribution, auto load balancing, multi‑tenancy, and high‑speed scan/transform at hundreds‑terabyte scale in virtualized clouds
- Support and Documentation: Deployment‑focused resources that deliver tutorials, documentation, and assistance for deploying, configuring, and managing dbX across AWS, Google Cloud, Azure, and on‑premise virtualized environments
Key contacts
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Financial details
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1.2 - Competitors and similar companies to XtremeData
Striim
HQ: United States
Website
- Description: Provider of unified, real-time data streaming and integration for enterprise analytics and operations, offering a self-managed or fully managed (SaaS) platform to set up smart data pipelines that continuously ingest, process, and deliver high volumes of data across databases, applications, and clouds using Change Data Capture; plus Data Fabric and real-time analytics services.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
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- Total funding raised: $●●●m
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Dremio
HQ: United States
Website
- Description: Provider of an intelligent lakehouse platform offering Dremio Cloud for self-service analytics with data warehouse features and data lake flexibility on Microsoft Azure; a SQL query engine delivering sub-second performance across sources without moving data; Iceberg lakehouse management with an Apache Iceberg catalog and Git-inspired versioning; unified analytics, data mesh, and Hadoop migration.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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Htrunk
HQ: India
Website
- Description: Provider of Big Data software via the hTRUNK Platform, enabling smarter data application development on Apache Hadoop and leveraging Apache Spark as the data processing layer; founded in 2015 by engineers who built and operated large Big Data applications for Fortune 100 companies.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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Couchbase
HQ: United States
Website
- Description: Provider of a NoSQL cloud platform for modern applications, delivering flexible, high-performance JSON data management with built-in caching, scalability, and analytics. Products include Couchbase Capella (managed DBaaS with schema flexibility, AI-assisted coding, and support for distributed transactional apps), Couchbase Server, Couchbase Lite, Capella App Services for sync, and Vector Search for AI use cases.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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Eventador
HQ: United States
Website
- Description: Provider of fully managed, enterprise-grade stream processing as a service based on Apache Flink and Kafka, enabling organizations to build real-time data applications while alleviating complexity; platform based in Austin, TX.
- Rationale: This competitor operates in a highly similar market segment with overlapping features.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
View full Eventador company profile →
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2.M&A buyers
2.1 Potential strategic acquirers in the sector
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2.2 - Strategic buyer groups for XtremeData
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Buyer group 3: ████████ ████████
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3. Investors and private equity firms
3.1 - Buyout funds investing in similar companies to XtremeData
2.2 - Growth funds investing in similar companies to XtremeData
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4 - Top valuation comps for XtremeData
4.2 - Public trading comparable groups for XtremeData
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