DBMS > BigObject vs. Firebolt vs. OceanBase

System Properties Comparison BigObject vs. Firebolt vs. OceanBase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

Highly scalable cloud data warehouse and analytics product

Forked from Clickhouse

A distributed, high available RDBMS compatible with Oracle and MySQL

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Secondary database models

Document store
Wide column store

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

Score	0.13
Rank	#329	Overall
	#147	Relational DBMS

Score	1.49
Rank	#148	Overall
	#68	Relational DBMS

Score	1.97
Rank	#119	Overall
	#58	Relational DBMS

Website

bigobject.io

www.firebolt.io

en.oceanbase.com

Technical documentation

docs.bigobject.io

docs.firebolt.io

en.oceanbase.com/docs/oceanbase-database

Developer

BigObject, Inc.

Firebolt Analytics Inc.

OceanBase

previously Alibaba and Ant Group

Initial release

2015

2020

2010

Current release

4.3.0, April 2024

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

Commercial license available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

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)

hosted

Linux

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

yes

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

.Net
ODBC
RESTful HTTP API

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API

Supported programming languages

Go
JavaScript (Node.js)
Python

Ada

in MySQL-compatible model
C

in Oracle- and MySQL- compatible models
C++

in Oracle- and MySQL- compatible models
D

in MySQL-compatible model
Delphi

in MySQL-compatible model
Eiffel

in MySQL-compatible model
Erlang

in MySQL-compatible model
Haskell

in MySQL-compatible model
Java

in Oracle- and MySQL- compatible models
JavaScript (Node.js)

in MySQL-compatible model
Objective-C

in MySQL-compatible model
OCaml

in MySQL-compatible model
Perl

in MySQL-compatible model
PHP

in MySQL-compatible model
Python

in MySQL-compatible model
Ruby

in MySQL-compatible model
Scheme

in MySQL-compatible model
Tcl

in MySQL-compatible model

Server-side scripts

Stored procedures

Lua

PL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by hash, key, range, range columns, list, and list columns)

Replication methods

Methods for redundantly storing data on multiple nodes

none

depending on storage layer

Multi-source replication using Paxos

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate 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

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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.

yes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Firebolt Introduces Industry-First Low Latency Cloud Data Warehouse
18 September 2024, insideBIGDATA

Data warehouse unicorn Firebolt aims to make magic in Kirkland
11 September 2024, The Business Journals

Analytics and Data Science News for the Week of September 20; Updates from Firebolt, Qrvey, Teradata & More
20 September 2024, Solutions Review

10 Best Data Pipeline Tools of 2024 to Boost Your Productivity
20 February 2024, Datamation

Firebolt Archives - High-Performance Computing News Analysis
17 September 2024, insideHPC

provided by Google News

Fintech giant Ant Group spins off database firm as Alibaba affiliates take stake
3 July 2024, South China Morning Post

Meet the Database Built for Modern-Day Pressures (And Your AI Dreams Too)
24 June 2024, CDOTrends

OceanBase Inks Agreement with NTU Singapore in Database Optimization and Green Computing Advancements
31 January 2024, PR Newswire

OceanBase Cloud Database Will Be Available on Google Cloud Marketplace
27 June 2024, Fintech News Singapore

OceanBase announces its listing on Google Cloud Marketplace, expanding cloud database services to 80 availability zones worldwide
27 June 2024, PR Newswire

provided by Google News

Share this page