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Tarantool

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Who is Tarantool?

Tarantool is an open-source in-memory computing platform that combines a database and application server for building high-performance data-centric applications.

  • In-Memory Database (IMDB) and application server for data-intensive workloads.
  • Support for Lua-based stored procedures and application logic.
  • Tools for horizontal scaling, replication, and high availability (data management).
  • Use cases including caching, real-time analytics, and OLTP workloads (data infrastructure).
  • Open-source core with commercial support and enterprise tooling for production deployments (enterprise data platforms).
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More About Tarantool

Tarantool is an in-memory computing platform that integrates a NoSQL database engine with an application server, designed for workloads that require low-latency access to transactional and operational data.

The Tarantool core provides an in-memory data store with optional persistence, combining features of a key-value store and a document or tuple-oriented NoSQL database (data management). It stores data in Random Access Memory (RAM) for fast access while persisting changes to disk using Write-Ahead Logging (WAL) and snapshotting mechanisms. The platform supports secondary indexes and various data access patterns, which allows developers to implement both simple caching scenarios and complex transactional logic.

A defining element of Tarantool is its embedded LUA engine, which allows application logic, stored procedures, and business rules to run directly inside the database process (application platform). This model reduces network round-trips between application and data layers and supports the construction of microservices and data-centric services that execute close to the data. Tarantool instances can expose this logic via network protocols such as binary client protocols or Hypertext Transfer Protocol (HTTP) endpoints, depending on configuration and extensions.

Tarantool supports replication and sharding, enabling deployments that scale horizontally across multiple nodes (distributed data platforms). Replication can be configured for high availability and read scaling, while sharding is used to partition datasets across a cluster. These features position Tarantool for use in architectures that require 24/7 service continuity and consistent response times, such as real-time scoring, personalization, or financial transaction processing.

From an enterprise architecture perspective, Tarantool can function as a System of Record (SOR) database for certain workloads, as a high-speed cache in front of slower systems of record, or as an embedded component inside larger applications. It is used in scenarios such as real-time analytics dashboards, event processing pipelines, and online transaction processing, where latency constraints and throughput requirements favor an in-memory approach over disk-focused relational systems.

As an open-source project, Tarantool is complemented by commercial offerings that provide enterprise support, operational tooling, and integrations with observability and management systems (enterprise data platforms). In marketplace and directory taxonomies, Tarantool aligns with categories such as in-memory data grids, NoSQL databases, and application platforms for real-time data processing, particularly where organizations require a combination of data storage, computation, and service orchestration within a single runtime.

Our description of Tarantool. Updated December 2025.

Market segments

  • Information Technology / Software & Services / IT Services / Internet Services & Infrastructure

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Headquarters
Mountain View, CA

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