How Tarantool
works
Tarantool keeps all the data in random-access memory (RAM). Solutions of this class are fast, but they often lack data persistence. Tarantool solves this problem. Leave a request and we will tell you about the advantages of Tarantool
When to use
in-memory?
In-memory solutions are very fast because they work in RAM. This helps you avoid overhead associated with caching and reading from disk. Plus, the memory-resident approach reduces TCO—the database utilizes the processor more efficiently, so you need fewer servers. There are four main cases where an in-memory database is a good fit for application development:
OLTP, maximum performance required
Need to speed up a slow application or database
Predictable response time from the system is needed
You are building a system that works in real time
Tarantool Ecosystem
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Guaranteed data
persistence in Tarantool
Working in RAM doesn't mean that you risk losing all your data. Tarantool has embedded mechanisms that ensure data safety.
Write-ahead logging
Tarantool in-memory engine uses write-ahead logging. The transaction result returns only after it's been saved to disk. Even an unexpected server restart wouldn’t cause data loss.
Synchronous replication
When a disk or a server fails, replication helps prevent data loss.
In Tarantool, the replication lag is typically 100–200 microseconds, which is equal to network latency and virtually reduces the probability of data loss to zero. You can configure synchronous replication only for critical data in specific tables for a full guarantee of persistence.
Tarantool is ACID
compliant
ACID stands for atomicity, consistency, isolation, and durability. In-memory databases often sacrifice durability. This is related to the very principle of RAM storage, which carries the risk of losing some information in case of failure or restart. To minimize this risk, Tarantool uses the following:
Write-ahead
logs
Data state
snapshots
Synchronous writing to several replicas
Infinite expansion
Built-in clustering helps you make multiple copies on different servers or split data across multiple nodes.
With three clicks in the web interface, you can make a new replica or connect an additional server.
Data distribution, load balancing, and failover are automatic. If one node fails, the load is automatically transferred to the replica.
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