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

RocksDB vs Umbra

OverviewComparisonAlternatives

Overview

RocksDB
RocksDB
Stacks141
Followers290
Votes11
GitHub Stars30.9K
Forks6.6K
Umbra
Umbra
Stacks1
Followers8
Votes0

RocksDB vs Umbra: What are the differences?

What is RocksDB? Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. 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.

What is Umbra? An ACID-compliant database built for in-memory analytics speed. It is a fully ACID-compliant database built for in-memory analytics speed. For out-of-core processing it falls back gracefully to flash-based storage. Featuring fast code generation, low-latency query execution, and drop-in PostgreSQL compatibility.

RocksDB and Umbra can be categorized as "Databases" tools.

Some of the features offered by RocksDB are:

  • 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

On the other hand, Umbra provides the following key features:

  • Low-Overhead Buffer Manager
  • Low-Latency Query Compilation
  • Compact Intermediate Representation

RocksDB is an open source tool with 16K GitHub stars and 3.58K GitHub forks. Here's a link to RocksDB's open source repository on GitHub.

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Detailed Comparison

RocksDB
RocksDB
Umbra
Umbra

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.

It is a fully ACID-compliant database built for in-memory analytics speed. For out-of-core processing it falls back gracefully to flash-based storage. Featuring fast code generation, low-latency query execution, and drop-in PostgreSQL compatibility.

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
Low-Overhead Buffer Manager; Low-Latency Query Compilation; Compact Intermediate Representation; No Compromises; Computational Database beyond SQL
Statistics
GitHub Stars
30.9K
GitHub Stars
-
GitHub Forks
6.6K
GitHub Forks
-
Stacks
141
Stacks
1
Followers
290
Followers
8
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
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to RocksDB, Umbra?

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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