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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. RocksDB vs Speedb

RocksDB vs Speedb

OverviewComparisonAlternatives

Overview

RocksDB
RocksDB
Stacks141
Followers290
Votes11
GitHub Stars30.9K
Forks6.6K
Speedb
Speedb
Stacks7
Followers9
Votes0

RocksDB vs Speedb: What are the differences?

## Introduction

RocksDB and Speedb are both high-performance key-value storage engines designed to provide efficient data storage.

1. **Storage Model**: RocksDB is a persistent key-value store whereas Speedb is an in-memory key-value store.
2. **Durability**: RocksDB provides durability by writing data to disk, while Speedb sacrifices durability for speed by keeping data in memory to avoid disk writes.
3. **Performance Impact**: RocksDB may experience latency due to disk writes, while Speedb offers faster performance but at the risk of potential data loss if the system crashes.
4. **Use Cases**: RocksDB is suitable for applications that require durability and can tolerate lower performance, while Speedb is ideal for applications where speed is critical and data loss is acceptable.
5. **Optimization**: RocksDB focuses on persistent storage optimizations, such as reducing disk I/O and maintaining data integrity, while Speedb optimizes for in-memory operations and high-speed data access.
6. **Scalability**: RocksDB can handle larger data sets due to its use of disk storage, while Speedb is limited by available memory but excels at handling smaller, high-speed data sets.

In Summary, RocksDB prioritizes durability and persistent storage, whereas Speedb prioritizes speed and in-memory operations.

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Detailed Comparison

RocksDB
RocksDB
Speedb
Speedb

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.

Speedb’s Log-Structured Merge (LSM)-based key value store supports petabyte scaling of datasets with billions of objects, while maintaining high performance and low hardware requirements. It is based on a patented compaction method that reduces the write amplification factor (WAF) up to 6X and adds enhancements that eliminate latency issues and IO stalls.

Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM;Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory;Scales linearly with number of CPUs so that it works well on ARM processors
RocksDB Compliant - Speedb is a drop-in replacement solution for RocksDB; Supports petabyte-scale datasets with no shards; Handles billions of objects while maintaining high performance; Improves write amplification and eliminates I/O hangs on writes while optimizing resource footprint; Reduces management overhead by allowing applications to run on a single database – even with billions of objects – while maintaining high performance; Minimizes CPU and memory usage to handle more data and achieve scalability while reducing storage and networking costs; Frees developers from having to constantly deal with database tuning and other time-consuming operational tasks, so they can focus on delivering real business value; Supports services and bespoke customization to meet use-case specific requirements and achieve faster time-to-market
Statistics
GitHub Stars
30.9K
GitHub Stars
-
GitHub Forks
6.6K
GitHub Forks
-
Stacks
141
Stacks
7
Followers
290
Followers
9
Votes
11
Votes
0
Pros & Cons
Pros
  • 5
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed
No community feedback yet

What are some alternatives to RocksDB, Speedb?

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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