DBMS > Hive vs. LokiJS vs. OpenEdge vs. OrigoDB vs. SingleStore

System Properties Comparison Hive vs. LokiJS vs. OpenEdge vs. OrigoDB vs. SingleStore

Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

In-memory JavaScript DBMS

Application development environment with integrated database management system

A fully ACID in-memory object graph database

MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type

Primary database model

Relational DBMS

Document store

Relational DBMS

Document store
Object oriented DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS
Time Series DBMS
Vector DBMS

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

Score	59.76
Rank	#18	Overall
	#12	Relational DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Score	5.38
Rank	#62	Overall
	#35	Relational DBMS

Website

hive.apache.org

github.com/techfort/LokiJS

www.progress.com/openedge

origodb.com

www.singlestore.com

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

techfort.github.io/LokiJS

documentation.progress.com/output/ua/OpenEdge_latest

origodb.com/docs

docs.singlestore.com

Developer

Apache Software Foundation

initially developed by Facebook

Progress Software Corporation

Robert Friberg et al

SingleStore Inc.

Initial release

2012

2014

1984

2009

under the name LiveDB

2013

Current release

3.1.3, April 2022

OpenEdge 12.2, March 2020

8.5, January 2024

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

commercial

Open Source

commercial

free developer edition available

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.

SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities

Implementation language

Java

JavaScript

C++, Go

Server operating systems

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

AIX
HP-UX
Linux
Solaris
Windows

Linux
Windows

Linux

64 bit version required

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

yes

can be achieved using .NET

Secondary indexes

yes

via views

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

close to SQL 92

yes

but no triggers and foreign keys

APIs and other access methods

JDBC
ODBC
Thrift

JavaScript API

JDBC
ODBC

.NET Client API
HTTP API
LINQ

Cluster Management API

as HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC

Supported programming languages

C++
Java
PHP
Python

JavaScript

Progress proprietary ABL (Advanced Business Language)

.Net

Bash
C
C#
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

View functions in JavaScript

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

since Version 11.4

horizontal partitioning

client side managed; servers are not synchronized

Sharding

hash partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

Source-replica replication

stores two copies of each physical data partition on two separate nodes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

yes

can define user-defined aggregate functions for map-reduce-style calculations

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

depending on model

Transaction concepts

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

atomic operations within a single collection possible

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

yes

Write ahead log

yes

All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users, groups and roles

Users and groups

Role based authorization

Fine grained access control via users, groups and roles

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Key customers

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Market metrics

Customers in various industries worldwide including US and International Industry...
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Licensing and pricing models

F ree Tier and Enterprise Edition
» more

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