SQream Technologies
SQream Technologies is a Tel Aviv-based software company that provides GPU-accelerated SQL analytics and in-database AI/ML on petabyte-scale datasets for large enterprises in financial services, retail, telecom, manufacturing, advertising, and healthcare.
- Company typePrivate
- Founded2010
- HeadquartersNew York, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What SQream Technologies does
SQream Technologies is a privately held, Tel Aviv-headquartered software company founded in 2010 that builds GPU-accelerated data analytics infrastructure. Its core engine runs SQL natively on NVIDIA GPUs, enabling complex queries and machine-learning workloads against petabyte-scale datasets without sampling, with the company claiming 1/10th the cost and roughly 100x the data capacity of traditional CPU-based warehouses alongside up to 90% infrastructure savings. The product portfolio centers on SQreamDB (enterprise SQL on GPU for private deployment), AISQream (in-database ML training and inference), Panoply (no-code data integration acquired in December 2021 for SMB customers), and SQream Blue (public-cloud deployment on Google Cloud), with supporting tools including SQream Acceleration Studio, a CLI, and an MCP-based natural-language interface via Anthropic Claude.
SQream Technologies firmographics
Firmographics- Name
- SQream Technologies
- Legal name
- SQream Technologies LTD.
- Website
- https://sqream.com
- Company type
- Private
- Founded year
- 2010
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- SQream Technologies is a Tel Aviv-based software company that provides GPU-accelerated SQL analytics and in-database AI/ML on petabyte-scale datasets for large enterprises in financial services, retail, telecom, manufacturing, advertising, and healthcare.
- Ownership category
- akta.pro rank
SQream Technologies industry classification
Industry- Product category
- GPU-Accelerated Data Analytics Platform
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Software Publishers (51321)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)
- akta.pro secondary industries
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK), GPU/Accelerator Compute Servers (HDABADAC), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)
Keywords
Where SQream Technologies is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
SQream Technologies business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- Software Licensing and Subscriptions: SQreamDB is offered as an enterprise solution for private deployment, providing SQL on GPU for large and complex queries. Revenue is generated through software licenses and subscription fees for enterprise customers.
- Cloud Services (SQream Blue): Public cloud deployment option leveraging Google Cloud Storage, offering GPU-accelerated analytics as a managed service.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise deployment options with private and public cloud variants |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels7 records
SQream Technologies product offering
Product offeringCore offering
SQream sells a GPU-accelerated data analytics platform built natively on NVIDIA GPUs, anchored by SQreamDB (enterprise SQL on GPU for petabyte-scale analytics) and complemented by AISQream (in-database ML/AI training and inference), Panoply (no-code data integration for SMB), and SQream Blue (public cloud deployment on Google Cloud). The platform ingests, transforms, trains, and serves predictions on massive structured datasets without sampling.
Product overview
SQream Technologies offers a GPU-accelerated data analytics platform consisting of SQreamDB as the core product, supplemented by AISQream for ML/AI model training and inference, Panoply (acquired December 2021) for no-code data solutions targeting SMBs, and SQream Blue for public cloud deployments. The platform is built natively for NVIDIA GPUs and powers what SQream calls the 'AI Factory' — a unified pipeline for data preparation, model training, and mass-scale inference. Additional tools include Acceleration Studio for visual management, CLI tools, and various client drivers for integration with BI and data science tools.
Differentiator
Problem solved
Functional benefit
Brands
- SQreamDB: Enterprise SQL on GPU database for large and complex queries, available for private deployment.
- AISQream
- Panoply
Products and services
- SQreamDB
Quantifiable outcome
- 100x more data capacity compared to traditional solutions
- +4 more outcomes
Companies that use SQream Technologies
Customer profileNamed customers1 record
Segments6 records
Ideal customer profiles4 records
SQream Technologies technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration30 records
AI capability9 records
Feature6 records
SQream Technologies partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- NVIDIAcoreNVIDIA is described as 'one of NVIDIA's longest-serving collaborators.' SQream's platform is built natively for NVIDIA GPUs and the partnership is fundamental to the company's core technology value proposition. The companies collaborate on GPU-accelerated data processing solutions.
- OraclecoreSQream on Oracle Cloud Infrastructure (OCI) enhances ML development by accelerating data preparation and reducing development cycles over 90%. The integration enables organizations to utilize GPU-accelerated analytics within the Oracle cloud ecosystem.
- Google Cloud PlatformcoreSQream Blue public cloud deployment leverages Google Cloud Storage's built-in encryption capabilities. The platform is available as a deployment option for customers wanting cloud-native GPU-accelerated analytics.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
SQream Technologies competitors and assessment
Company assessmentDirect peers
- Vertica: Columnar analytics database built for large-scale SQL analytics on structured and semi-structured data. Comparable as an enterprise analytics engine competing on large-dataset query performance.
- Snowflake: Cloud-native data warehouse platform. Direct competitor in enterprise SQL analytics on large datasets; SQream's TPC-DS benchmark explicitly compares against Snowflake as a performance benchmark.
- Databricks: Unified data and AI lakehouse platform. Directly comparable across data engineering, SQL analytics, and ML training/inference — overlapping with SQreamDB, AISQream, and Panoply use cases.
- ClickHouse: Open-source columnar OLAP database optimized for real-time analytics on large datasets. Comparable as a high-performance SQL analytics engine targeting petabyte-scale workloads.
- Dremio: Open data lakehouse platform providing SQL analytics directly on data lake storage. Comparable in providing high-performance SQL on large datasets without moving data.
Broad incumbents
- Google BigQuery: Hyperscaler-managed serverless data warehouse. Overlaps with SQream on large-scale SQL analytics and is the underlying cloud for SQream Blue, making it both partner-adjacent and competitive.
- Amazon Redshift: AWS-managed cloud data warehouse serving large-scale SQL analytics. Competes with SQreamDB for enterprise data warehousing workloads, with deeper cloud-native integration.
- NVIDIA (RAPIDS / CUDA-X): While a Core partner, NVIDIA's own GPU-accelerated data science stack (RAPIDS, cuDF, CUDA-X) is an adjacent/competing infrastructure layer that could either acquire SQream's IP or obviate the need for a separate analytics layer.
Emerging players
- Trino (Starburst): Distributed SQL query engine for federated analytics across data lakes and warehouses. SQream already integrates with Trino, and Starburst commercializes it as an alternative for large-scale SQL analytics.
- BlazingSQL (acquired by NVIDIA): GPU-accelerated SQL engine built on RAPIDS. Direct adjacency to SQream in the GPU-SQL category, demonstrating NVIDIA's interest in owning the GPU-SQL layer internally.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
SQream Technologies social profiles
Digital presenceSQream Technologies financial estimates
Financial estimateRevenue estimate
Valuation estimate
SQream Technologies leadership team
Management profileNumber of profiles
Profiles4 records
SQream Technologies subsidiaries and ownership
Company hierarchySubsidiaries1 record
SQream Technologies funding detail
Funding detailFunding overview
Funding rounds5 records
Investors16 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SQream Technologies M&A and investment
M&A and investmentM&A1 record
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SQream Technologies
What does SQream Technologies do?
SQream sells a GPU-accelerated data analytics platform built natively on NVIDIA GPUs, anchored by SQreamDB (enterprise SQL on GPU for petabyte-scale analytics) and complemented by AISQream (in-database ML/AI training and inference), Panoply (no-code data integration for SMB), and SQream Blue (public cloud deployment on Google Cloud). The platform ingests, transforms, trains, and serves predictions on massive structured datasets without sampling.
Is SQream Technologies a public or private company?
SQream Technologies is a private company. It is classified as venture growth investor backed and is currently operating.
When was SQream Technologies founded?
SQream Technologies was founded in 2010. It employs 101 to 250 people.
Where is SQream Technologies based?
SQream Technologies is headquartered in New York, United States, in the North America region.
How does SQream Technologies make money?
Two revenue lines are on record. Software Licensing and Subscriptions are the primary driver. The others are cloud Services (SQream Blue).
Who are SQream Technologies's main competitors?
Direct peers on record are Vertica, Snowflake, Databricks, ClickHouse and Dremio. Broad incumbents are Google BigQuery, Amazon Redshift and NVIDIA (RAPIDS / CUDA-X). Emerging players are Trino (Starburst) and BlazingSQL (acquired by NVIDIA).
Does SQream Technologies have an API?
Yes. MCP (Model Context Protocol) interface available for querying data using natural language, integrated with Anthropic Claude as the LLM. SQream also provides Python client driver (pysqream), JDBC, ODBC, Node.JS, Spark connectors, and various client drivers for integration. Developer documentation is at docs.sqream.com.
What industry is SQream Technologies in?
SQream Technologies's product category is GPU-Accelerated Data Analytics Platform. Its primary akta.pro industry code is HDABAAAF, Data & Analytics Platforms (Data Warehousing, Lakes, Streaming), with a secondary code of HDAAAAAK, AI Compute Cloud & GPU-as-a-Service. Its NAICS code is 513210 and its SIC code is 7372.