
Tarantool
Message queue (MQ) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Tarantool
Tarantool is an open-source, in-memory database and application server that includes a built-in message queue (the "queue" module) for asynchronous job processing. Teams use it to build low-latency services that need storage, Lua-based business logic, and background task execution in the same runtime. It supports replication and sharding for distributed deployments and exposes multiple client connectors for application integration. Compared with dedicated MQ platforms, Tarantool’s queue is typically used as an embedded queue within Tarantool-based systems rather than as a standalone enterprise broker.
Low-latency in-memory runtime
Tarantool runs primarily in memory and is designed for high-throughput, low-latency operations. For queue workloads, this can reduce end-to-end job dispatch and processing time when the queue is colocated with application logic. It is well-suited to real-time services that already depend on Tarantool for data access. Performance characteristics depend on dataset size, persistence settings, and hardware.
Queue plus application logic
The platform combines a data store, Lua application server, and a queue module in one system. This enables patterns where producers/consumers, job state, and business rules live in the same deployment and can be updated together. It can simplify architectures that would otherwise require separate database, worker runtime, and messaging components. This approach is most effective when Tarantool is already the primary runtime for the service.
Replication and sharding options
Tarantool provides replication and sharding capabilities that can be used to scale out deployments. These features can support distributing queue-related data and processing across nodes, depending on how the queue is modeled and partitioned. It also offers multiple client drivers and protocols, which helps integrate with common application stacks. Operational behavior varies by topology and consistency requirements.
Not a dedicated MQ broker
The built-in queue is a module within Tarantool rather than a full-featured standalone message broker. Organizations needing broker-native features such as broad protocol support, advanced routing, or extensive ecosystem tooling may find gaps. It is generally better suited to job queues tightly coupled to Tarantool applications. Using it as a central enterprise messaging backbone may require additional components.
Operational complexity for clusters
Running Tarantool in replicated or sharded configurations introduces operational considerations such as topology management, failover behavior, and capacity planning. Queue semantics (ordering, retries, visibility timeouts) must be designed carefully in distributed setups. Teams may need deeper platform expertise than with managed or broker-focused MQ services. Monitoring and troubleshooting often require Tarantool-specific knowledge.
Ecosystem and managed options vary
Compared with some MQ-focused platforms, Tarantool’s managed-service availability and third-party integrations can be more limited depending on region and provider. Some organizations may need to self-host to meet requirements, increasing operational overhead. Client libraries and tooling exist, but the surrounding ecosystem is not as standardized as for widely adopted MQ-only products. This can affect onboarding and long-term maintainability.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Community Edition | $0 (open-source) | Downloadable Community Edition; self-managed, no commercial SLA; available from Tarantool site. |
| Tarantool Cloud (DBaaS) | Not publicly listed (contact sales) | One-button deployment on VK Cloud; managed DBaaS offering—pricing details not shown on Tarantool site. |
| Enterprise Edition | Custom pricing (contact sales) | Enterprise features, premium 24/7 support, administration and security modules; pricing available via demo/contact. |
Seller details
Mail.ru Group
Moscow, Russia
2008
Public
https://www.tarantool.io/
https://x.com/tarantool_db
https://www.linkedin.com/company/tarantool