Software Alternatives, Accelerators & Startups

RocksDB VS MapDB

Compare RocksDB VS MapDB and see what are their differences

RocksDB logo RocksDB

A persistent key-value store for fast storage environments

MapDB logo 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.
  • RocksDB Landing page
    Landing page //
    2022-03-12
  • MapDB Landing page
    Landing page //
    2023-02-26

RocksDB features and specs

  • High Performance
    RocksDB is designed for high throughput and low latency, making it suitable for performance-intensive applications. It optimizes for fast read and write operations, leveraging the LSM-tree data structure.
  • Rich Feature Set
    Includes advanced features like transactions, column families, data compression, and support for various storage engines, providing flexibility for developers to tailor it to their needs.
  • Scale and Efficiency
    Handles large volumes of data efficiently, making it suitable for applications that require significant scalability. It does this by using efficient memory and disk utilization techniques.
  • Embedded Database
    As an embedded database, it allows applications to integrate storage capabilities directly into their processes, reducing the overhead associated with connecting to a separate database service.
  • Strong Community and Support
    Developed by Facebook, RocksDB has a strong community with extensive documentation, regular updates, and active development, ensuring continuous improvement and support.

Possible disadvantages of RocksDB

  • Complex Configuration and Tuning
    RocksDB is highly configurable, which can be a double-edged sword. Properly tuning parameters for optimal performance can be complex and requires a deep understanding of the internals.
  • Limited SQL Support
    RocksDB is a key-value store and does not support SQL out of the box. This may require additional layers or integration with other systems like MySQL or MariaDB to provide SQL capabilities.
  • Memory Usage
    Performance optimizations often involve significant memory usage, which could be a limitation in environments where memory resources are constrained.
  • Lack of Built-in Replication
    While RocksDB itself does not provide built-in replication capabilities, external tools or custom solutions are necessary to achieve data replication and high availability.
  • Learning Curve
    The complexity and rich feature set of RocksDB come with a steep learning curve, especially for developers unfamiliar with LSM-tree data structures and database internals.

MapDB features and specs

No features have been listed yet.

RocksDB videos

How Online Backup works in MyRocks and RocksDB

More videos:

  • Review - RocksDB Meetup 2020 at Rockset
  • Review - TokuDB vs RocksDB

MapDB videos

No MapDB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to RocksDB and MapDB)
Databases
69 69%
31% 31
Key-Value Database
56 56%
44% 44
NoSQL Databases
65 65%
35% 35
Graph Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, RocksDB seems to be a lot more popular than MapDB. While we know about 13 links to RocksDB, we've tracked only 1 mention of MapDB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RocksDB mentions (13)

  • Introducing Gridstore: Qdrant's Custom Key-Value Store
    When we started building Qdrant, we needed to pick something ready for the task. So we chose RocksDB as our embedded key-value store. - Source: dev.to / 3 months ago
  • The Home Server Journey - 4: Enter The Matrix
    One thing you should know is that the K8s architecture is optimized for stateless applications, which don't store changing information within themselves and whose output depend solely on input from the user or auxiliary processes. Conduit, on the contrary, is tightly coupled with its high-performance database, RocksDB, and has stateful behavior. That's why we need to take extra care by not replicating our process... - Source: dev.to / 8 months ago
  • How to choose the right type of database
    RocksDB: A high-performance embedded database optimized for multi-core CPUs and fast storage like SSDs. Its use of a log-structured merge-tree (LSM tree) makes it suitable for applications requiring high throughput and efficient storage, such as streaming data processing. - Source: dev.to / about 1 year ago
  • Fast persistent recoverable log and key-value store
    [RocksDB](https://rocksdb.org/) isn’t a distributed storage system, fwiw. It’s an embedded KV engine similar to LevelDB, LMDB, or really sqlite (though that’s full SQL, not just KV). - Source: Hacker News / about 1 year ago
  • The Hallucinated Rows Incident
    To output the top 3 rocks, our engine has to first store all the rocks in some sorted way. To do this, we of course picked RocksDB, an embedded lexicographically sorted key-value store, which acts as the sorting operation's persistent state. In our RocksDB state, the diffs are keyed by the value of weight, and since RocksDB is sorted, our stored diffs are automatically sorted by their weight. - Source: dev.to / over 1 year ago
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MapDB mentions (1)

  • Ask HN: What are the best key-value self-hosted storage engines?
    In Java I like https://mapdb.org/ It is more feature rich than you want but in Python I'd probably just use sqlite3 since it is in the standard library. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing RocksDB and MapDB, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

memcached - High-performance, distributed memory object caching system

SQLite - SQLite Home Page

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.