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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. NeDB vs ZeroDB

NeDB vs ZeroDB

OverviewComparisonAlternatives

Overview

ZeroDB
ZeroDB
Stacks4
Followers25
Votes1
NeDB
NeDB
Stacks38
Followers85
Votes0
GitHub Stars13.6K
Forks1.0K

NeDB vs ZeroDB: What are the differences?

  1. Data Storage: NeDB is an in-memory database library that persists data to disk through a plain JSON file, providing a lightweight solution for applications. On the other hand, ZeroDB is a end-to-end encrypted database where all data is encrypted before being stored, promising a high level of security for sensitive information.

  2. Encryption: NeDB does not offer built-in encryption capabilities for data stored, resulting in data being vulnerable to potential security breaches. In contrast, ZeroDB ensures data is encrypted before being stored, adding an extra layer of protection against unauthorized access.

  3. Performance: NeDB is known for its fast read and write operations due to its lightweight architecture, making it suitable for small to medium-sized applications with moderate data processing requirements. ZeroDB, with its encryption overhead, may experience a performance penalty compared to NeDB, especially in applications requiring high throughput and low latency.

  4. Community Support: NeDB has a larger user base and community support, making it easier to find resources, tutorials, and assistance when developing applications using the library. Conversely, ZeroDB, being a more specialized database solution, may have a smaller user community, potentially leading to limited support and resources available for developers.

  5. Forkability: NeDB allows forking and modification of its codebase, enabling developers to customize the database library to suit specific requirements or fix any issues they encounter during development. ZeroDB, with its focus on security and encryption, may have restrictions on forking and modifying the codebase to maintain the integrity of its encryption mechanisms.

  6. Use Case: NeDB is suitable for simple applications that do not require advanced security measures or have minimal data privacy concerns. In contrast, ZeroDB is ideal for applications dealing with highly sensitive data, such as healthcare records, financial information, or confidential documents, where data privacy and security are paramount.

In Summary, NeDB and ZeroDB differ significantly in data storage mechanisms, encryption practices, performance implications, community support, forkability, and ideal use cases.

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Detailed Comparison

ZeroDB
ZeroDB
NeDB
NeDB

ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

Embedded persistent or in memory database for Node.js, nw.js, Electron and browsers, 100% JavaScript, no binary dependency. API is a subset of MongoDB's and it's plenty fast.

End-to-End DB Encryption; Queries Over Encrypted Data; Direct Cloud Sharing
In-memory datastore; Persistent datastore;Equivalent of a MongoDB collection; JavaScript database
Statistics
GitHub Stars
-
GitHub Stars
13.6K
GitHub Forks
-
GitHub Forks
1.0K
Stacks
4
Stacks
38
Followers
25
Followers
85
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    We're in financial services & secure DBs are critical
No community feedback yet
Integrations
No integrations available
Electron
Electron
Node.js
Node.js
JavaScript
JavaScript

What are some alternatives to ZeroDB, NeDB?

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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