SQreamDB logo

SQreamDB

by SQream Technologies · Since 2010
No reviews yet
ActiveAvailable globallyCloud
Quick facts
VendorSQream Technologies
Year launched2010
StatusActive
LocationHeadquarters 7 World Trade Center, 250 Greenwich Street, New York, 10007, US
Countries servedGlobal
Languages1
Integrations10+
Free tier
Free trial
Contact sales

About SQreamDB

SQreamDB is a database software from SQream Technologies that supports big data analytics. It combines GPU-powered processing, advanced scaling capabilities, and efficient storage management so organizations can analyze massive datasets faster and at a lower cost. This platform is designed for data scientists and AI engineers who require rapid data preparation and training for machine learning models. SQreamDB is improved for high performance, allowing users to swiftly derive insights from large volumes of data. Key capabilities: GPU acceleration horizontal scaling simplified data queries integrated data preparation multi-cloud support Best for: data teams that need to process and analyze large datasets for AI and machine learning applications.

SQreamDB is a high-performance SQL database designed to handle massive datasets and complex analytics queries with unparalleled speed and efficiency. By leveraging the power of GPU acceleration, SQreamDB significantly outperforms traditional database solutions, making it an ideal choice for data-intensive industries like telecommunications, finance, and biotechnology. This database offers a robust feature set, including seamless integration with popular BI tools and data pipelines. It can be deployed both on-premises and in the cloud, supporting major cloud platforms like AWS, Azure, and GCP. Pricing is typically subscription-based, with custom pricing determined by factors such as deployment size and infrastructure needs. To assist potential customers in evaluating costs, SQreamDB provides a convenient TCO calculator. While SQreamDB may have a steeper learning curve for non-technical users, its performance benefits and scalability make it a compelling investment for data-driven organizations. The ability to extract valuable insights from large and complex datasets can lead to significant competitive advantages and improved decision-making. For instance, telecommunications companies can utilize SQreamDB to optimize network performance, detect fraud, and analyze customer behavior in real-time.

Pros & Cons

What users like
  • +High-Performance Analytics: Fast processing of large datasets with GPU acceleration.
  • +Scalable Architecture: Flexible scaling options for enterprise needs.
  • +Comprehensive Connectivity: Supports a variety of integrations with BI, ML, and data science tools.
  • +Cost-Efficient: Achieves significant performance gains at lower costs compared to traditional systems.
  • +User-Friendly: Simple to use with clear documentation and setup guides.
What users flag
  • Complex Setup: Requires a deep understanding of hardware/software requirements for optimal performance.
  • Limited Marketplace: No dedicated marketplace for additional tools or services.
  • Cloud Dependency: While hybrid and cloud solutions are supported, it may not be ideal for on-premise-only environments.
  • Initial Cost: The pricing model might be a barrier for smaller businesses.
  • Hardware Specific: Performance optimization may require specific GPU configurations.

Features

Key features

1. GPU Acceleration
Utilizes GPUs to speed up complex analytics and data processing.
2. High Ingestion Rates
Able to process up to 9TB of data per hour.
3. SQL Query Engine
Supports standard ANSI-SQL queries.
4. Compression
Automatic data compression at a 5:1 ratio.
5. Flexible Integration
Compatible with BI tools like Tableau, PowerBI, and custom integrations via Python, Java, etc.

Additional features

1. Parallel Processing
Distributed query execution across multiple GPU cores for faster data handling.
2. Separation of Compute and Storage
Scalable architecture that separates data storage from compute units.
3. Data Partitioning
Automatic partitioning for both vertical and horizontal scaling.
4. Connectivity
Integrates easily with other tools via ODBC/JDBC and APIs.
5. Cloud/Hybrid Infrastructure Support
Can be deployed on public clouds like AWS, Azure, and private cloud infrastructures.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Monthly plans

Fully Managed Sqream Blue

USD 5

Countries & Languages

Global
Countries served
1
Interface languages
3
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP

No reviews yet

Be the first to drop a review

Alternatives to SQreamDB

Cloudera Platform logo

Cloudera Platform

Cloudera Platform is a hybrid data and AI platform that enables organizations to manage data…

IBM Spectrum Symphony logo

IBM Spectrum Symphony

IBM Spectrum Symphony is an enterprise-grade high-performance computing and workload management platform designed to accelerate…

Pragmatic Solutions logo

Pragmatic Solutions

Pragmatic Solutions, Inc. is a technology company that designs and deploys computer-based systems for data…

Cumulocity logo

Cumulocity

Cumulocity is a scalable AI-powered industrial IoT platform enabling organizations to connect devices, manage data…

W

Wavelet Data

Wavelet Data is a data analysis platform from Weiqi (Tianjin) Information Technology that provides tools…

T

Tidewater

Tidewater is a software platform from Tidewater that provides exploration of Microsoft products and services…

Often compared with SQreamDB

Compare any two tools →
Cloudera Platform logo
Cloudera Platform
Business Intelligence
0.0
IBM Spectrum Symphony logo
IBM Spectrum Symphony
Big Data
0.0
Pragmatic Solutions logo
Pragmatic Solutions
Big Data
0.0
Cumulocity logo
Cumulocity
Big Data
0.0