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  1. Stackups
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  3. Databases
  4. Databases
  5. LevelDB vs UnQLite

LevelDB vs UnQLite

OverviewComparisonAlternatives

Overview

LevelDB
LevelDB
Stacks108
Followers111
Votes0
GitHub Stars38.3K
Forks8.1K
UnQLite
UnQLite
Stacks6
Followers51
Votes0
GitHub Stars2.3K
Forks174

LevelDB vs UnQLite: What are the differences?

Introduction

LevelDB and UnQLite are both widely used embedded key-value databases that offer high performance and efficient data storage. However, there are several key differences between the two.

  1. Data Model: LevelDB is a key-value store, where each key is associated with a value. It allows efficient CRUD operations on individual key-value pairs. On the other hand, UnQLite is a document store, where data is stored in self-contained documents. These documents can have a hierarchical structure and support complex queries.

  2. Query Language: LevelDB does not have a built-in query language. It primarily focuses on simple key-value operations and does not provide advanced querying capabilities. UnQLite, on the other hand, supports a query language similar to SQL, allowing users to perform complex queries on the stored documents.

  3. Secondary Indexes: LevelDB does not support secondary indexes out of the box. To achieve efficient querying on non-primary keys, developers need to maintain additional data structures or use external indexing mechanisms. UnQLite, on the other hand, provides built-in support for secondary indexes, enabling efficient querying on various fields of the stored documents.

  4. Durability: LevelDB offers a transaction log-based write-ahead logging mechanism to ensure durability. It ensures that data modifications are written to disk before acknowledging a commit. UnQLite, on the other hand, uses an append-only persistence model, where changes are continuously appended to the database file. This approach provides better write performance but may not offer the same level of durability as LevelDB.

  5. Concurrency Control: LevelDB uses a single-writer multiple-reader model, allowing concurrent reads but only sequential writes. It ensures data consistency by implementing a single-writer lock mechanism. UnQLite, on the other hand, does not support concurrent writes by default. It enforces a locking mechanism, where only one thread can write to the database at a time. However, concurrent reads are still possible.

  6. Embeddability: LevelDB is a standalone library that can be easily embedded into applications written in various programming languages. It provides a simple and lightweight API making it suitable for embedding in resource-constrained devices or applications. UnQLite, on the other hand, is a self-contained C library that includes both the database engine and a built-in document store. It offers a more comprehensive and feature-rich solution but may have a larger footprint.

In summary, LevelDB is a lightweight key-value store with no built-in query language or secondary indexes. It focuses on simplicity and performance, making it a suitable choice for simple key-value use cases. On the other hand, UnQLite is a feature-rich document store with a built-in query language and support for secondary indexes. It provides more advanced querying capabilities, at the cost of increased complexity and potentially larger resource footprint.

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Detailed Comparison

LevelDB
LevelDB
UnQLite
UnQLite

It is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. It has been ported to a variety of Unix-based systems, macOS, Windows, and Android.

UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.

Simple key-value stores with Go, C++, Node.js and more!
-
Statistics
GitHub Stars
38.3K
GitHub Stars
2.3K
GitHub Forks
8.1K
GitHub Forks
174
Stacks
108
Stacks
6
Followers
111
Followers
51
Votes
0
Votes
0
Pros & Cons
No community feedback yet
Cons
  • 1
    Different compilation for each platform
Integrations
Java
Java
Windows
Windows
macOS
macOS
No integrations available

What are some alternatives to LevelDB, UnQLite?

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.

SQLite

SQLite

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.

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.

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