BigObject

Name

BigObject

Legal name

BigObject Private Limited

Website

https://bigobject.io

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Ownership category

akta.pro rank

Product category

Real-Time Data Infrastructure Software

NAICS

Software Publishers (513210), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Real-Time / Streaming Data Warehousing (HDAEABAF)

Keywords

• Real-time data analytics
• Time series database
• Streaming data platform
• Live data management
• Data infrastructure

Headquarters

HQ city

Santa Clara

HQ country

United States

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Platform / Software Licensing: Revenue primarily from licensing BigObject's time series database platform and associated data management software to enterprise and government customers. Subscription or perpetual license models are implied by the product-focused enterprise sales motion.
2. Professional Services & Implementation: Implementation and consulting services provided alongside platform deployment, including data engineering, ETL pipeline construction, and system integration services for enterprise and government clients.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels9 records

Core offering

BigObject provides a streaming live data infrastructure platform for high-volume, real-time data processing and analytics. Its portfolio includes BigObject® (a multi-model time series relational database powered by In-Data Computing), BONA™ (an end-to-end live data management and exploration platform with low-code pipelines), Aralia® (a decentralized open data ecosystem enabling privacy-preserving cross-enterprise data collaboration), and STAI (a smart video reasoning and analytics solution for real-time CCTV processing).

Product overview

BigObject is a real-time streaming data platform provider offering a portfolio of four interconnected products: BigObject® serves as the core multi-model time series relational database engine, powered by the proprietary In-Data Computing technology for high-speed storage and analytics at 100x–1000x performance; BONA™ is the end-to-end live data management and exploration platform built on top of BigObject®, enabling low-code pipeline construction, real-time drill-down, and data quality monitoring; Aralia® is an open data ecosystem platform (Open Data Ecosystem) that extends the portfolio into a decentralized network of autonomous data planets supporting privacy-preserving cross-planet analysis via the Transplore™ protocol; and STAI is a smart video analytics module for real-time CCTV processing. Together, these products form a unified live data infrastructure solution for enterprises seeking to process, manage, and derive insights from massive volumes of continuous data streams.

Differentiator

Problem solved

Functional benefit

Brands

• BigObject®: Multi-model time series relational database with high-speed storage and handling of massive data, powered by In-Data Computing technology.
• Aralia®
• BONA™
• STAI

Products and services

• BigObject® (BigObject Analytics) Multi-model time series relational database developed for high-speed storage and handling of massive data, powered by In-Data Computing technology. Delivers 100x–1000x faster analytics for time series workloads, supports fast data injection exceeding 500,000 records per second, achieves compression of 1/7–1/10, and unifies Key-Value, Relational, Hierarchical, and Tree Graph models with in-memory transformations (Trans-Plant, Trans-Join, Trans-Graph). Designed for enterprise and government customers processing high-volume real-time data.
• Aralia® A decentralized AI-Ready Open Data Ecosystem composed of autonomous interoperable 'data planets' owned by data providers. Supports cross-planet data exploration via the Transplore™ protocol without exposing or exchanging raw data, enables privacy-preserving analytics, includes the Unfold-Observe-Examine-Filter™ (UOEF) interactive exploration methodology, geospatial exploration via an 'Admin Division' variable, and an AI-Ready API for AI Agents to perform data exploration and search.
• BONA™ End-to-end live data management and exploration platform that breaks data silos and processes continuous data at high speed. Provides low-code data pipeline construction, deep drill-down without traditional cube/hierarchy constraints, real-time Track & Trace (Know What / Know Why) for understanding anomalies and root causes, and real-time data quality monitoring and scoring. Designed for both technical and non-technical users across the enterprise.
• STAI Smart video reasoning and analytics solution that processes live CCTV video streams in real-time to detect and track objects across a network of cameras. Applied to traffic congestion assessment and monitoring at airports and public-sector deployments, with predictive traffic volume forecasting (5- and 15-minute windows) to optimize staff deployment.
• Professional Services & Implementation Professional services covering data engineering, ETL pipeline construction, and system integration delivered alongside platform deployment to enterprise and government clients.

Quantifiable outcome

• 300,000 events per second sustained ingestion rate (Perfect Corp case study)
• +5 more outcomes

Named customers7 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability7 records

Feature8 records

Partnerships

Three partnerships are on record, tiered core and minor.

• ZenmuTech, Inc.coreStrategic or Co-development Partner · 9 March 2026BigObject and ZenmuTech signed an MOU on March 9, 2026 to explore the development of a Secure Data Intelligence Platform. The collaboration combines BigObject's high-performance analytics capabilities with ZenmuTech's secret-sharing based secure data protection and utilization technologies. Initial focus areas include financial services, healthcare, and manufacturing sectors. The platform aims to enable privacy-preserving analytics on sensitive data at scale without compromising performance or usability. Dr. Wenwey Hseush (Co-Founder, BigObject) and Yasuhisa Abe (CEO, ZenmuTech) lead the collaboration.
• UCSI University, MalaysiaminorStrategic or Co-development PartnerSigned a Memorandum of Agreement (MOA) with UCSI University in Malaysia in 2025, expanding international collaboration in academia.
• Five Universities in TaiwanminorStrategic or Co-development PartnerEstablished in-depth collaborations with five universities in Taiwan in 2025 for data research and education initiatives.

Scale indicators14 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• QuestDB: High-performance open-source time-series database engineered for low-latency ingestion and fast SQL analytics on streaming financial and IoT data. Comparable technology profile and target workloads to BigObject.
• Timescale: Time-series database built on PostgreSQL targeting IoT, monitoring, and analytics at scale. Overlaps with BigObject's time-series positioning and target segments (IoT, manufacturing, infrastructure).
• KX (kdb+): Time-series database widely used in capital markets and telco for ultra-high-volume real-time analytics. Comparable technology and use-case fit with BigObject's streaming, time-series focus.
• InfluxData (InfluxDB): Purpose-built time-series database for high-ingest, real-time analytics on IoT and event data. Competes with BigObject® on the same time-series, high-ingestion workload with comparable performance claims.
• ClickHouse: Open-source columnar OLAP database built for real-time analytical queries on massive event/streaming datasets. Directly competes with BigObject's core time-series/streaming warehouse use case on performance and compression economics.
• SingleStore (formerly MemSQL): Distributed real-time database combining transactional and analytical workloads with high-ingest streaming. Overlaps with BigObject's positioning as a high-speed multi-model database for live data.
• Apache Druid: Real-time analytics database designed for sub-second OLAP queries on high-cardinality, event-driven data. Competes with BigObject in sub-second analytics on streaming/event data at billions-of-events scale.

Emerging players

• Rockset: Real-time analytics database built for low-latency queries on streaming and event data with strong indexing. Comparable in addressing fast-query analytics on live data, though with a different architectural approach.

Broad incumbents

• Confluent (Apache Kafka): Streaming data platform and Apache Kafka provider that, combined with downstream warehouses, addresses the same real-time pipeline use cases BigObject serves with BONA and BigObject®.
• Snowflake: Cloud data warehouse incumbent offering real-time and near-real-time analytics on massive structured/semi-structured data. Competes with BigObject for enterprise analytics workloads where customers choose a managed cloud platform over an on-prem/in-place engine.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• YouTubeyoutube.com/@bigobject
• Facebookfacebook.com/macrodatalab
• LinkedInlinkedin.com/company/bigobject
• Xx.com/bigobject

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about BigObject