DBMS > BigObject vs. Lovefield vs. SpatiaLite vs. Splunk

System Properties Comparison BigObject vs. Lovefield vs. SpatiaLite vs. Splunk

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

Embeddable relational database for web apps written in pure JavaScript

Spatial extension of SQLite

Analytics Platform for Big Data

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Spatial DBMS

Search engine

Secondary database models

Relational DBMS

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

Score	0.13
Rank	#329	Overall
	#147	Relational DBMS

Score	0.22
Rank	#306	Overall
	#138	Relational DBMS

Score	1.56
Rank	#142	Overall
	#3	Spatial DBMS

Score	93.02
Rank	#13	Overall
	#2	Search engines

Website

bigobject.io

google.github.io/lovefield

www.gaia-gis.it/fossil/libspatialite/index

www.splunk.com

Technical documentation

docs.bigobject.io

github.com/google/lovefield/blob/master/docs/spec_index.md

www.gaia-gis.it/gaia-sins/spatialite_topics.html

docs.splunk.com/Documentation/Splunk

Developer

BigObject, Inc.

Google

Alessandro Furieri

Splunk Inc.

Initial release

2015

2014

2008

2003

Current release

2.1.12, February 2017

5.0.0, August 2020

License

Commercial or Open Source

commercial

free community edition available

Open Source

Apache 2.0

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

commercial

Limited free edition and 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.

Implementation language

JavaScript

C++

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

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

tested with Chrome, Firefox, IE, Safari

server-less

Linux
OS X
Solaris
Windows

Data scheme

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

via JavaScript builder pattern

yes

Splunk Search Processing Language for search commands

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

HTTP REST

Supported programming languages

JavaScript

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

Lua

yes

Triggers

Using read-only observers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

In-memory capabilities

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

yes

using MemoryDB

yes

User concepts

Access control

Access rights for users and roles

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More resources

DB-Engines blog posts

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