DBMS > GeoMesa vs. HBase vs. ObjectBox vs. Splunk

System Properties Comparison GeoMesa vs. HBase vs. ObjectBox vs. Splunk

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Editorial information provided by DB-Engines

Name

Description

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

Wide-column store based on Apache Hadoop and on concepts of BigTable

Extremely fast embedded database for small devices, IoT and Mobile

Analytics Platform for Big Data

Primary database model

Secondary database models

Time Series DBMS

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

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	27.97
Rank	#26	Overall
	#2	Wide column stores

Score	1.29
Rank	#166	Overall
	#5	Object oriented DBMS

Score	89.10
Rank	#14	Overall
	#2	Search engines

Website

Technical documentation

www.geomesa.org/documentation/stable/user/index.html

hbase.apache.org/book.html

docs.objectbox.io

docs.splunk.com/Documentation/Splunk

Developer

CCRi and others

Apache Software Foundation

Apache top-level project, originally developed by Powerset

ObjectBox Limited

Splunk Inc.

Initial release

2014

2008

2017

2003

Current release

5.0.0, May 2024

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache License 2.0

Open Source

Apache version 2

Open Source

Apache License 2.0

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

Scala

Java

C and C++

Server operating systems

Linux
Unix
Windows

using Cygwin

Android
iOS
Linux
macOS
Windows

Linux
OS X
Solaris
Windows

Data scheme

yes

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

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

Splunk Search Processing Language for search commands

APIs and other access methods

Java API
RESTful HTTP API
Thrift

Proprietary native API

HTTP REST

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

depending on storage layer

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

depending on storage layer

Multi-source replication
Source-replica replication

online/offline synchronization between client and server

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

depending on storage layer

Immediate Consistency or Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Single row ACID (across millions of columns)

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

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.

depending on storage layer

yes

User concepts

Access control

yes

depending on the DBMS used for storage

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

yes

Access rights for users and roles

More information provided by the system vendor

News

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29 May 2024

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29 May 2024

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28 May 2024

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23 May 2024

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21 May 2024

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