DBMS > Apache Ignite vs. BigObject vs. QuestDB

System Properties Comparison Apache Ignite vs. BigObject vs. QuestDB

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Editorial information provided by DB-Engines

Name

Description

Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.

Analytic DBMS for real-time computations and queries

A high performance open source SQL database for time series data

Primary database model

Key-value store
Relational DBMS

Relational DBMS

a hierachical model (tree) can be imposed

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	3.10
Rank	#82	Overall
	#12	Key-value stores
	#43	Relational DBMS

Score	0.14
Rank	#329	Overall
	#146	Relational DBMS

Score	3.12
Rank	#81	Overall
	#6	Time Series DBMS

Website

ignite.apache.org

bigobject.io

questdb.io

Technical documentation

apacheignite.readme.io/docs

docs.bigobject.io

questdb.io/docs

Developer

Apache Software Foundation

BigObject, Inc.

QuestDB Technology Inc

Initial release

2015

2014

Current release

2.16.0, December 2023

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

free community edition available

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++, Java, .Net

Java (Zero-GC), C++, Rust

Server operating systems

Linux
OS X
Solaris
Windows

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
macOS
Windows

Data scheme

yes

schema-free via InfluxDB Line Protocol

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

ANSI-99 for query and DML statements, subset of DDL

SQL-like DML and DDL statements

SQL with time-series extensions

APIs and other access methods

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

fluentd
ODBC
RESTful HTTP API

HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

PostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust

over HTTP

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

Lua

Triggers

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning (by timestamps)

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

none

Source-replica replication with eventual consistency

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

Transaction concepts

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

ACID

ACID for single-table writes

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

through memory mapped files

User concepts

Access control

Security Hooks for custom implementations

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More resources

Recent citations in the news

The Apache Software Foundation Announces Apache Ignite® 3.0
24 February 2025, GlobeNewswire

Critical Flaw in Apache Ignite (CVE-2024-52577) Allows Attackers to Execute Code Remotely
19 February 2025, GBHackers News

GridGain Helps Advance Real-Time Distributed Databases for High-Performance Applications Through Contributions to Apache Ignite 3.0
24 February 2025, Yahoo Finance

Critical Apache Ignite Vulnerability Let Attackers Execute Remote Code
19 February 2025, CybersecurityNews

Announcing the Ignite Summit 2025 Conference Schedule
20 February 2025, PR Newswire

provided by Google News

High Performance Time - Series Database Design with QuestDB
9 January 2025, infoq.com

One Trading Chooses QuestDB’s Time-Series Database for Its Low-Latency Trading Platform
10 April 2025, TradingView

Making a trading Gameboy: A pocket exchange and algo trading platform @QuestDb
12 November 2024, Adafruit

QuestDB Powers B3 Exchange's Next-Generation CSD Platform's Tick Data Store
2 April 2025, The Manila Times

Time Series Database QuestDB 8.0 Improves SQL Performance and Adds ZFS Compression
5 July 2024, infoq.com

provided by Google News

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