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SL

Scalar Labs, Inc.

The startup operates a distributed ledger platform that utilizes a proprietary database to execute electronically signed smart contracts through distributed transactions. This technology provides clients with high scalability and strong consistency, addressing the limitations of traditional blockchains.

Tokyo, Japan · HQ
Founded 20176500+ followers
Updated 5 months ago

Funding

$22.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Enterprises struggle with data silos and inconsistencies across disparate databases, hindering real-time analytics and reliable data management for both transactional and analytical processing. Legacy systems and complex microservices architectures exacerbate these challenges, leading to increased costs and reduced agility.

Solution

Scalar provides two data management solutions: ScalarDB, a universal Hybrid Transactional and Analytical Processing (HTAP) engine, and ScalarDL, a Byzantine-Fault Detection Middleware. ScalarDB integrates disparate databases without requiring data migration, offering unified security features and enabling real-time analytics across various data sources. ScalarDL employs a unique consensus protocol to ensure strong data security and authenticity, recording and managing data operations and transactions in environments where data reliability is crucial. Both solutions are database and cloud agnostic, simplifying data management across diverse environments.

Target Audience

Scalar's primary customers are large enterprises across various industries, including finance, manufacturing, logistics, and retail, seeking to modernize legacy systems, integrate data across microservices, and ensure data consistency and reliability.

Features

  • **ScalarDB:**
  • Universal HTAP engine that supports transactions and analytical queries across multiple disparate databases (RDBMS, NoSQL, NewSQL, and vector stores) without data migration.
  • Unified security with authentication, data encryption, and fine-grained access control, independent of underlying database capabilities.
  • Retrieval-Augmented Generation (RAG) support for AI applications.
  • Scalable performance and availability with linear scaling capabilities.
  • Database and cloud agnostic, avoiding vendor lock-in.
  • **ScalarDL:**
  • Tamper-evident data through a unique consensus protocol.
  • Scalable performance and availability.
  • Consistent data management with ACID properties.
  • Easy to deploy and use.
  • Database and cloud agnostic.
This profile is AI-generated and may contain inaccuracies.