Amazon QLDB vs ObjectBox

Overview

ObjectBox

Stacks9

Followers20

Votes0

Amazon QLDB

Stacks5

Followers17

Votes0

ObjectBox vs Amazon QLDB: What are the differences?

Developers describe ObjectBox as "The fast and easy object-oriented database for small devices". It is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using. On the other hand, Amazon QLDB is detailed as "A fully managed ledger database". It is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. It can be used to track each and every application data change and maintains a complete and verifiable history of changes over time.

ObjectBox belongs to "Mobile Database" category of the tech stack, while Amazon QLDB can be primarily classified under "Databases".

Some of the features offered by ObjectBox are:

10x faster than any alternative
Reduces cloud costs up to 60%
Supports Linux, Windows, Mac/iOS, Android, Raspbian, etc. Embedded or Containerized

On the other hand, Amazon QLDB provides the following key features:

Immutable and Transparent
Cryptographically Verifiable
Serverless

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Detailed Comparison

ObjectBox	Amazon QLDB
It is for developers who look for performance and ease of use. We are committed to providing you with the easiest APIs for you to keep your code short and maintainable. No SQL under the hood-Simply faster. Unlike other databases, it has been built from the ground up using key-value storage instead of column storage. The resulting performance is 10x faster than the leading alternative, we welcome you to try it yourself. It is fast regardless of the amount of data or operating system you are using.	It is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. It can be used to track each and every application data change and maintains a complete and verifiable history of changes over time.
10x faster than any alternative; Reduces cloud costs up to 60%; Supports Linux, Windows, Mac/iOS, Android, Raspbian, etc. Embedded or Containerized; Develop applications that work on- and offline, independently from a constant Internet connection, providing an “always-on”-feeling; Accelerate time-to-market, save development and lifecycle costs, save precious developer time for tasks that bring value	Immutable and Transparent; Cryptographically Verifiable; Serverless; Easy to Use; Streaming Capability
Statistics
Stacks 9	Stacks 5
Followers 20	Followers 17
Votes 0	Votes 0
Integrations
Linux Android OS macOS iOS Windows Raspbian	AWS Lambda Amazon Redshift Amazon Kinesis Amazon Elasticsearch Service

What are some alternatives to ObjectBox, Amazon QLDB?

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

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

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

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 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

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 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

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.