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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. FoundationDB vs LevelDB

FoundationDB vs LevelDB

OverviewComparisonAlternatives

Overview

FoundationDB
FoundationDB
Stacks34
Followers79
Votes21
LevelDB
LevelDB
Stacks108
Followers111
Votes0
GitHub Stars38.3K
Forks8.1K

FoundationDB vs LevelDB: What are the differences?

**Introduction:**
FoundationDB and LevelDB are both popular distributed database systems renowned for their high performance and reliability. Despite serving similar purposes, they exhibit key differences that set them apart.

**1. Data Model and Architecture:** FoundationDB is a distributed, multi-model database that supports key-value, document, and graph data models, enabling versatile data management capabilities. In contrast, LevelDB is a key-value storage library with a simpler architecture optimized for storing key-value pairs efficiently without support for other data models.

**2. Consistency and Transactions:** FoundationDB offers ACID transactions with strict serializability guarantees, ensuring data consistency across distributed nodes. LevelDB, on the other hand, provides eventual consistency, sacrificing strict consistency for improved performance and scalability in a distributed environment.

**3. Scalability and Partitioning:** FoundationDB incorporates automatic data partitioning and distribution mechanisms, allowing seamless scaling of database clusters by distributing data across multiple nodes. LevelDB lacks built-in support for automatic sharding and partitioning, requiring manual intervention for scaling beyond a single node.

**4. Ecosystem and Tooling:** FoundationDB offers a rich ecosystem with support for various programming languages, robust client libraries, and integration with popular frameworks like Kubernetes and Apache Spark. In comparison, LevelDB provides limited tooling and ecosystem support, primarily focusing on the core functionalities of key-value storage.

**5. Fault Tolerance and Recovery:** FoundationDB is designed with built-in fault tolerance mechanisms, such as automatic data replication and recovery, ensuring high availability and data durability in the face of node failures or network issues. LevelDB relies on external frameworks or custom implementations for fault tolerance and recovery, potentially leading to higher operational complexity.

**6. Community and Support:** FoundationDB, acquired by Apple and subsequently open-sourced, benefits from a growing community of developers and contributors who actively maintain and enhance the platform. In contrast, LevelDB, originally developed by Google, has a smaller community and may have fewer updates and support resources available.

In Summary, FoundationDB excels in providing a versatile data model, strict consistency, scalability features, robust ecosystem, fault tolerance, and community support compared to LevelDB's focus on efficient key-value storage and simplicity.

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Detailed Comparison

FoundationDB
FoundationDB
LevelDB
LevelDB

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

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.

Multiple data models;Full, multi-key ACID transactions;No locking;Bindings available in Python, Ruby, Node, PHP, Java, Go, and C
Simple key-value stores with Go, C++, Node.js and more!
Statistics
GitHub Stars
-
GitHub Stars
38.3K
GitHub Forks
-
GitHub Forks
8.1K
Stacks
34
Stacks
108
Followers
79
Followers
111
Votes
21
Votes
0
Pros & Cons
Pros
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Great Foundation
  • 3
    Key-Value Store
No community feedback yet
Integrations
No integrations available
Java
Java
Windows
Windows
macOS
macOS

What are some alternatives to FoundationDB, LevelDB?

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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