OmniSci
Big data analytics software
Database software
Big data software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$2,000 per month
Free TrialFree version
Small
Medium
Large
- Transportation and logistics
- Energy and utilities
- Media and communications
What is OmniSci
OmniSci is a GPU-accelerated analytics database and visualization platform designed for interactive analysis of large datasets. It supports SQL-based querying and geospatial analytics for use cases such as operational dashboards, location intelligence, and exploratory data analysis. The product emphasizes high-concurrency, low-latency queries by using columnar storage and GPU/CPU execution paths. OmniSci is also known for its open-source core database technology (formerly MapD/HeavyDB) used in some deployments.
GPU-accelerated interactive queries
OmniSci is built to execute analytical queries using GPU acceleration, which can reduce latency for scan-heavy workloads. This design supports interactive exploration and dashboard-style workloads where users expect sub-second to seconds-level response times. It is particularly relevant for large fact tables and geospatial aggregations that benefit from parallel execution.
Strong geospatial analytics support
The platform includes geospatial data types and functions and is commonly used for map-based analytics. It can render and aggregate large volumes of location data for operational monitoring and investigative analysis. This makes it suitable for domains such as transportation, telecom, public sector, and logistics where spatial joins and map visualizations are frequent.
SQL-centric analytics database core
OmniSci provides a SQL interface that aligns with analyst and BI workflows. The columnar analytics database approach fits read-heavy, analytical workloads better than general-purpose OLTP databases. The open-source lineage (MapD/HeavyDB) can also help teams evaluate the core engine and integrate it into custom architectures.
GPU dependency and sizing complexity
Achieving the intended performance often depends on appropriate GPU hardware selection and capacity planning. GPU memory limits and data transfer considerations can affect workload fit and operational tuning. Organizations without GPU infrastructure may face additional procurement and operational overhead compared with fully managed cloud analytics services.
Ecosystem and managed-service gaps
Compared with large cloud-native analytics platforms, OmniSci typically requires more self-management for deployment, upgrades, and operations. Integrations for governance, cataloging, and end-to-end data engineering may require additional third-party tools. Teams seeking a single managed environment for ingestion, transformation, and analytics may find the scope narrower.
Product continuity and branding changes
OmniSci has undergone rebranding and ownership changes, which can create uncertainty around product roadmaps and long-term support models. Some capabilities are split between open-source components and commercial offerings, which can complicate evaluation. Buyers may need to validate current availability, licensing, and support terms for the specific edition they plan to deploy.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| HEAVY.AI / OmniSci Free | $0 (Free) | Full-featured Free edition: up to 32 GB RAM, supports 1 GPU, up to 3 active users; includes HeavyDB, Render Engine and Immerse (self‑install or cloud marketplace). |
| HEAVY.AI Foundations | $2,000 per month (billed annually) | Foundational paid offering: up to 64 GB GPU RAM, 5 concurrent users; includes HeavyDB, Render Engine, Immerse Dashboards; available On-Prem, Managed Cloud (HEAVY.AI-as-a-Service) or Public Cloud. |
| HEAVY.AI Enterprise | Custom pricing (contact sales) | Enterprise features: multi-GPU support, unlimited users, distributed / HA, enterprise security, streaming, enterprise support; pricing quoted via sales. |
Seller details
Intel Corporation
Santa Clara, California, United States
1968
Public
https://www.intel.com/
https://x.com/intel
https://www.linkedin.com/company/intel-corporation/
