DBMS > Apache Drill vs. BoltDB vs. RocksDB vs. SurrealDB

System Properties Comparison Apache Drill vs. BoltDB vs. RocksDB vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

An embedded key-value store for Go.

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

A fully ACID transactional, developer-friendly, multi-model DBMS

Primary database model

Document store
Relational DBMS

Key-value store

Document store
Graph DBMS

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

Score	1.95
Rank	#127	Overall
	#23	Document stores
	#60	Relational DBMS

Score	0.74
Rank	#220	Overall
	#31	Key-value stores

Score	3.65
Rank	#85	Overall
	#11	Key-value stores

Score	0.86
Rank	#203	Overall
	#34	Document stores
	#18	Graph DBMS

Website

drill.apache.org

github.com/boltdb/bolt

rocksdb.org

surrealdb.com

Technical documentation

drill.apache.org/docs

github.com/facebook/rocksdb/wiki

surrealdb.com/docs

Developer

Apache Software Foundation

Facebook, Inc.

SurrealDB Ltd

Initial release

2012

2013

2022

Current release

1.20.3, January 2023

8.11.4, April 2024

v1.5.0, May 2024

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

MIT License

Open Source

BSD

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Rust

Server operating systems

Linux
OS X
Windows

BSD
Linux
OS X
Solaris
Windows

Linux

Linux
macOS
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

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

SQL SELECT statement is SQL:2003 compliant

SQL-like query language

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

C++ API
Java API

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

C++

C
C++
Go
Java
Perl
Python
Ruby

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Foreign keys

Referential integrity

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

Depending on the underlying data source

yes

In-memory capabilities

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

Depending on the underlying data source

yes

User concepts

Access control

Depending on the underlying data source

yes, based on authentication and database rules

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