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MapDB
MapDB

2
0
+ 1
0
PostgREST
PostgREST

22
42
+ 1
2
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PostgREST vs MapDB: What are the differences?

PostgREST: Automatic REST API for Any Postgres Database. PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch; MapDB: Concurrent Maps, Sets and Queues backed by disk storage or off-heap-memory. MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

PostgREST can be classified as a tool in the "Database Tools" category, while MapDB is grouped under "In-Memory Databases".

PostgREST is an open source tool with 12.7K GitHub stars and 595 GitHub forks. Here's a link to PostgREST's open source repository on GitHub.

- No public GitHub repository available -

What is MapDB?

MapDB provides Java Maps, Sets, Lists, Queues and other collections backed by off-heap or on-disk storage. It is a hybrid between java collection framework and embedded database engine. It is free and open-source under Apache license.

What is PostgREST?

PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.
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            What are some alternatives to MapDB and PostgREST?
            Redis
            Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
            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.
            RocksDB
            RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
            LevelDB
            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.
            Lucene
            Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
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            AmperVue uses PostgRESTPostgREST

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