DBMS > Dolt vs. LevelDB vs. Oracle Coherence vs. SpaceTime

System Properties Comparison Dolt vs. LevelDB vs. Oracle Coherence vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

A MySQL compatible DBMS with Git-like versioning of data and schema

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Oracles in-memory data grid solution

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Relational DBMS

Key-value store

Spatial DBMS

Secondary database models

Document store

Relational DBMS

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

Score	1.02
Rank	#191	Overall
	#89	Relational DBMS

Score	2.25
Rank	#115	Overall
	#19	Key-value stores

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Website

github.com/dolthub/dolt
www.dolthub.com

github.com/google/leveldb

www.oracle.com/java/coherence

www.mireo.com/spacetime

Technical documentation

docs.dolthub.com

github.com/google/leveldb/blob/main/doc/index.md

docs.oracle.com/en/middleware/standalone/coherence

Developer

DoltHub Inc

Google

Oracle

Mireo

Initial release

2018

2011

2007

2020

Current release

1.23, February 2021

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

BSD

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

C++

Server operating systems

Linux
macOS
Windows

Illumos
Linux
OS X
Windows

All OS with a Java VM

Linux

Data scheme

yes

schema-free

yes

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

yes

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented

APIs and other access methods

CLI Client
HTTP REST

JCache
JPA
RESTful HTTP API

RESTful HTTP API

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

.Net
C++
Java

C#
C++
Python

Server-side scripts

Stored procedures

yes

currently in alpha release

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

none

yes, with selectable consistency level

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

yes

optionally

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

Only one user is configurable, and must be specified in the config file at startup

authentification to access the cache via certificates or http basic authentication

yes

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