DBMS > LeanXcale vs. RocksDB

System Properties Comparison LeanXcale vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Key-value store
Relational DBMS

Key-value store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.41
Rank	#322	Overall
	#45	Key-value stores
	#143	Relational DBMS

Score	4.27
Rank	#92	Overall
	#15	Key-value stores

Website

www.leanxcale.com

rocksdb.org

Technical documentation

github.com/facebook/rocksdb/wiki

Developer

LeanXcale

Facebook, Inc.

Initial release

2015

2013

Current release

7.10.2, March 2023

License

Commercial or Open Source

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

yes

through Apache Derby

APIs and other access methods

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

C++ API
Java API

Supported programming languages

C
Java
Scala

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

More information provided by the system vendor

Specific characteristics

Full ACID and full SQL operational database with analytical queries over operational...
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Competitive advantages

Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
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Typical application scenarios

Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
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Key customers

banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
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Market metrics

15 beta testers
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Licensing and pricing models

annual fee covering license and support based on number of physical cores
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