DBMS > LMDB vs. Tarantool vs. TiDB

System Properties Comparison LMDB vs. Tarantool vs. TiDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A high performant, light-weight, embedded key-value database library

In-memory computing platform with a flexible data schema for efficiently building high-performance applications

TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Primary database model

Key-value store

Document store
Key-value store
Relational DBMS

Relational DBMS

Secondary database models

Spatial DBMS

with Tarantool/GIS extension

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.75
Rank	#129	Overall
	#20	Key-value stores

Score	1.42
Rank	#148	Overall
	#26	Document stores
	#24	Key-value stores
	#66	Relational DBMS

Score	3.58
Rank	#73	Overall
	#38	Relational DBMS

Website

www.symas.com/symas-embedded-database-lmdb

www.tarantool.io

pingcap.com

Technical documentation

www.lmdb.tech/doc

www.tarantool.io/en/doc

docs.pingcap.com/tidb/stable

Developer

Symas

PingCAP, Inc.

Initial release

2011

2008

2016

Current release

0.9.32, January 2024

2.10.0, May 2022

8.2.0, July 2024

License

Commercial or Open Source

Open Source

BSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C and C++

Go, Rust

Server operating systems

Linux
Unix
Windows

BSD
Linux
macOS

Linux

Data scheme

schema-free

Flexible data schema: relational definition for tables with ability to store json-like documents in columns

yes

Typing

predefined data types such as float or date

string, double, decimal, uuid, integer, blob, boolean, datetime

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

Full-featured ANSI SQL support

yes

APIs and other access methods

Open binary protocol

GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy

Supported programming languages

.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl

C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

Lua, C and SQL stored procedures

Triggers

yes, before/after data modification events, on replication events, client session events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Casual consistency across sharding partitions
Eventual consistency within replicaset partition

when using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition

when using Raft

Immediate Consistency

Foreign keys

Referential integrity

yes

full support since version 6.6

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

ACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, cooperative multitasking

yes

Durability

Support for making data persistent

yes

yes, write ahead logging

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

yes, full featured in-memory storage engine with persistence

User concepts

Access control

Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

Fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021, Vladimir Perepelytsya, Tarantool (sponsor)

show all

Recent citations in the news

Threat Actors Exploit Multiple Vulnerabilities in Ivanti Connect Secure and Policy Secure Gateways
4 May 2025, SDx Central

Pandas Can’t Handle This: How ArcticDB Powers Massive Datasets
12 February 2025, Towards Data Science

The Lightning Memory-mapped Database
2 March 2016, infoq.com

Akamai launches managed database service
25 April 2022, Blocks and Files

Introducing Quicksilver: Configuration Distribution at Internet Scale
30 March 2020, The Cloudflare Blog

provided by Google News

Tarantool Announces New Enterprise Version With Enhanced Scaling and Monitoring Capabilities
18 May 2018, Newswire.com

How to build a high-performance application on Tarantool from scratch
26 November 2020, Habr

VShard — horizontal scaling in Tarantool
7 March 2019, Habr

provided by Google News

PingCAP Unveils Major TiDB Enhancements to Power Global Scale and AI-Driven Applications
22 April 2025, GlobeNewswire

How TiDB User Day India 2025 Sparked Conversations on the Future of Databases
5 May 2025, CXOToday.com

Build a data lakehouse in a hybrid Environment using Amazon EMR Serverless, Apache DolphinScheduler, and TiDB
20 March 2025, Amazon Web Services

How TiDB is solving enterprise data challenges with scalability and speed
21 March 2025, YourStory.com

“TiDB supports scaling to millions of queries per second”
2 April 2025, Open Source For You

provided by Google News

Share this page