DBMS > BigObject vs. Elasticsearch vs. RocksDB

System Properties Comparison BigObject vs. Elasticsearch vs. RocksDB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

A distributed, RESTful modern search and analytics engine based on Apache Lucene info

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

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

Primary database model

Relational DBMS info

a hierachical model (tree) can be imposed

Search engine

Key-value store

Secondary database models

Document store

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

Score	0.05
Rank	#317	Overall
	#132	Relational DBMS

Score	150.25
Rank	#7	Overall
	#1	Search engines

Score	2.42
Rank	#99	Overall
	#18	Key-value stores

Website

www.bigobject.io

www.elastic.co/products/elasticsearch

rocksdb.org

Technical documentation

docs.bigobject.io

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

github.com/facebook/rocksdb/wiki

Developer

BigObject, Inc.

Elastic

Facebook, Inc.

Initial release

2015

2010

2013

Current release

7.3.0, August 2019

6.3.6, October 2019

License

Commercial or Open Source

commercial info

free community edition available

Open Source info

Apache Version 2; Elastic License

Open Source info

BSD

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.

Implementation language

Java

C++

Server operating systems

Linux

distributed as a docker-image
OS X info

distributed as a docker-image (boot2docker)
Windows info

distributed as a docker-image (boot2docker)

All OS with a Java VM

Data scheme

yes

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

schema-free

Typing

predefined data types such as float or date

yes

XML support info

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

All search fields are automatically indexed

SQL

Support of SQL

SQL-like DML and DDL statements

SQL-like query language

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

Java API
RESTful HTTP/JSON API

C++ API
Java API

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

C++
Java

Server-side scripts info

Stored procedures

Lua

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

none

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

none

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys info

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts info

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

yes

Concurrency info

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

Memcached and Redis integration

yes

User concepts info

Access control

More information provided by the system vendor

Specific characteristics

Elasticsearch is a highly scalable open source full-text search and analytics engine....
» more

Competitive advantages

Open source, real-time index, search and analysis, horizontally scalable, distributed,...
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Typical application scenarios

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Key customers

» more

Market metrics

More than 250 million cumulative downloads More than 100,000 community members in...
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Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
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