PalDB

PalDB is an embeddable key-value storage engine for Java designed for high-performance data retrieval. It functions as a library that persists data into a single, immutable binary file, providing a storage solution for write-once workloads that require minimal memory overhead compared to standard in-memory collections.

The system distinguishes itself through a write-once data layout that eliminates the need for locking mechanisms during concurrent read operations. By utilizing memory-mapped file access and sorted key indexing, the engine enables rapid lookups directly within the process address space. This architecture supports the distribution of static datasets as read-only files that can be embedded and accessed by multiple application instances.

The library includes a framework for high-performance data serialization, allowing developers to define custom logic for converting complex objects into compact binary streams. This extensibility ensures that unique data structures can be efficiently stored and retrieved within the local application environment.

Features

Embedded Key-Value Stores - Provides an embeddable key-value storage engine for Java that persists data into a single read-only binary file.
Memory-Mapped File Access - Maps storage files directly into the process address space to allow the operating system to manage efficient data caching.
Unbounded Key-Value Stores - Saves information into a single read-only binary file to achieve faster data retrieval speeds with minimal memory overhead.
Immutable Binary Formats - Persists data into a single, immutable binary file to enable high-speed lookups without complex indexing.
Write-Once Layouts - Structures data in a static, non-modifiable format that eliminates the need for locking mechanisms during concurrent read operations.
Sorted Key Indexing - Organizes keys in a strictly ordered structure to enable rapid binary search operations across the dataset.
High-Performance Binary Serialization - Converts complex custom objects into efficient binary formats for fast storage and retrieval within local application environments.
Write-Once Storage Solutions - Provides a data persistence solution designed for write-once workloads that minimizes memory usage compared to standard in-memory collections.
Serialization Libraries - Provides a framework for converting complex custom objects into compact binary formats for efficient storage and retrieval.
Custom Serializer Injections - Provides a framework for defining custom logic to convert complex objects into compact binary streams for efficient storage.

Star history

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

linkedinPalDB

Name: linkedin/paldb
Author: linkedin

View on GitHub

937 stars178 forksJavaApache-2.023 views

PalDB

Features

Embedded Key-Value Stores - Provides an embeddable key-value storage engine for Java that persists data into a single read-only binary file.
Memory-Mapped File Access - Maps storage files directly into the process address space to allow the operating system to manage efficient data caching.
Unbounded Key-Value Stores - Saves information into a single read-only binary file to achieve faster data retrieval speeds with minimal memory overhead.
Immutable Binary Formats - Persists data into a single, immutable binary file to enable high-speed lookups without complex indexing.
Write-Once Layouts - Structures data in a static, non-modifiable format that eliminates the need for locking mechanisms during concurrent read operations.
Sorted Key Indexing - Organizes keys in a strictly ordered structure to enable rapid binary search operations across the dataset.
High-Performance Binary Serialization - Converts complex custom objects into efficient binary formats for fast storage and retrieval within local application environments.
Write-Once Storage Solutions - Provides a data persistence solution designed for write-once workloads that minimizes memory usage compared to standard in-memory collections.
Serialization Libraries - Provides a framework for converting complex custom objects into compact binary formats for efficient storage and retrieval.
Custom Serializer Injections - Provides a framework for defining custom logic to convert complex objects into compact binary streams for efficient storage.

Projects sharing features with PalDB

These projects share indexed features with PalDB. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.

simdjson/simdjson
simdjson/simdjson
23,260View on GitHub
simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with minimal memory overhead. It functions as a hardware-aware data processing engine that leverages vector instructions to achieve gigabyte-per-second parsing speeds. By detecting host processor capabilities at runtime, the library automatically selects the most efficient instruction sets to accelerate structural analysis and validation. The library distinguishes itself through a focus on extreme efficiency and resource management. It utilizes memory mapping and padded buffer ali
C++aarch64arm64avx2
View on GitHub23,260
cberner/redb
cberner/redb
4,248View on GitHub
redb is an embedded key-value store and ACID-compliant storage engine. It functions as a persistent storage system for saving and retrieving data as key-value pairs within a tree structure. The engine is built as an MVCC transactional database, utilizing multi-version concurrency control to manage simultaneous reads and writes without blocking. It employs a single-writer multi-reader model to ensure data consistency while allowing multiple threads to access the store. The system provides persistent state management and atomic transaction management to prevent data corruption during crashes.
Rustrust
View on GitHub4,248
nutsdb/nutsdb
nutsdb/nutsdb
3,554View on GitHub
NutsDB is an ACID-compliant, embedded transactional storage engine that functions as both a disk-backed key-value store and an in-memory data structure store. It provides atomic and serializable transactions with commit and rollback capabilities to ensure strict data consistency for applications requiring a lightweight persistence layer. The engine distinguishes itself by supporting a variety of complex data types, including lists, sets, and sorted sets, alongside standard byte-slice storage. It implements a transactional storage model featuring hot backups and a compaction algorithm to maint
Godata-structuresdatabasego
View on GitHub3,554
apache/incubator-kvrocks
apache/incubator-kvrocks
4,339View on GitHub
Kvrocks is a disk-based NoSQL database and distributed key-value store that leverages the RocksDB storage engine to persist large datasets to physical disk. It is designed to be a Redis-compatible database, utilizing the standard Redis communication protocol to ensure interoperability with existing client libraries and tools. The project distinguishes itself by combining a disk-persistent storage model with advanced retrieval capabilities, including vector search for k-nearest neighbor queries, full-text search indexing, and geospatial query execution. It supports distributed clustering with
C++
View on GitHub4,339

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Embedded Key-Value Stores for Local Persistence

Frequently asked questions

What does linkedin/paldb do?

What are the main features of linkedin/paldb?

The main features of linkedin/paldb are: Embedded Key-Value Stores, Memory-Mapped File Access, Unbounded Key-Value Stores, Immutable Binary Formats, Write-Once Layouts, Sorted Key Indexing, High-Performance Binary Serialization, Write-Once Storage Solutions.

Which projects share features with linkedin/paldb?

Projects with overlapping indexed features include: simdjson/simdjson — simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with… cberner/redb — redb is an embedded key-value store and ACID-compliant storage engine. It functions as a persistent storage system for… nutsdb/nutsdb — NutsDB is an ACID-compliant, embedded transactional storage engine that functions as both a disk-backed key-value… level/level — Level is a database library that provides a unified interface for managing sorted key-value data. It functions as an… apache/incubator-kvrocks — Kvrocks is a disk-based NoSQL database and distributed key-value store that leverages the RocksDB storage engine to… apache/kvrocks — Kvrocks is a distributed key-value store and Redis-compatible NoSQL database. It utilizes a RocksDB storage engine to…