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  1. Stackups
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  5. SQLite vs Symas LMDB

SQLite vs Symas LMDB

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Symas LMDB
Symas LMDB
Stacks17
Followers36
Votes0

SQLite vs Symas LMDB: What are the differences?

Introduction

SQLite and Symas LMDB are both popular database management systems. While both serve the same purpose of storing and retrieving data, there are key differences between the two. Below are the six key differences:

  1. Data Structure: SQLite is a relational database management system (RDBMS) that uses tables with rows and columns to store data. On the other hand, Symas LMDB is a key-value store database, which organizes data in a simple key-value pair format.

  2. Transaction Support: SQLite supports ACID (Atomicity, Consistency, Isolation, Durability) transactions, allowing reliable data modification and integrity. In contrast, Symas LMDB supports multi-version concurrency control (MVCC) transactions, which ensure consistent reads and writes without the need for locks, resulting in high performance and concurrency.

  3. Concurrency: SQLite uses a single-writer and multiple-reader (SWMR) concurrency model, where only one thread can write to the database while multiple threads can read concurrently. On the other hand, Symas LMDB provides full concurrency, allowing both read and write operations from multiple threads simultaneously.

  4. Memory Usage: SQLite loads the entire database into memory, which may result in high memory consumption for large databases. In contrast, Symas LMDB efficiently manages memory by using a memory-mapped file, where data is accessed directly from disk, resulting in optimized memory usage even for large datasets.

  5. Durability: SQLite guarantees durability by writing transactions to disk immediately to prevent data loss in case of a system failure. Symas LMDB, on the other hand, achieves durability through a combination of write-ahead logging and periodic data syncing, ensuring data persistence while providing high performance.

  6. Scalability: SQLite is predominantly designed for small to medium-sized application scenarios. It can handle a substantial amount of data but may face performance degradation with a large number of concurrent connections. In contrast, Symas LMDB is highly scalable and optimized for high-performance workloads, making it a suitable choice for applications with massive concurrency and large datasets.

In summary, SQLite is a traditional RDBMS with relational data structures and transaction support, while Symas LMDB is a key-value store database that excels in high performance and concurrency, with a memory-efficient and scalable approach.

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Advice on SQLite, Symas LMDB

Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k
Comments

Detailed Comparison

SQLite
SQLite
Symas LMDB
Symas LMDB

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

It is an extraordinarily fast, memory-efficient database which is developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases.

-
Ordered-map interface; Fully-transactional; Multi-thread and multi-process concurrency supported
Statistics
Stacks
19.9K
Stacks
17
Followers
15.2K
Followers
36
Votes
535
Votes
0
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
No community feedback yet
Integrations
No integrations available
Python
Python
Linux
Linux
Java
Java
Windows
Windows
macOS
macOS

What are some alternatives to SQLite, Symas LMDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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