DBMS > Apache Ignite vs. FeatureBase vs. Geode

System Properties Comparison Apache Ignite vs. FeatureBase vs. Geode

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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.

Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

Primary database model

Key-value store
Relational DBMS

Relational DBMS

Key-value store

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	0.22
Rank	#300	Overall
	#135	Relational DBMS

Score	1.31
Rank	#154	Overall
	#26	Key-value stores

Website

ignite.apache.org

www.featurebase.com

geode.apache.org

Technical documentation

apacheignite.readme.io/docs

docs.featurebase.com

geode.apache.org/docs

Developer

Apache Software Foundation

Molecula and Pilosa Open Source Contributors

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

Initial release

2015

2017

2002

Current release

2.16.0, December 2023

2022, May 2022

1.1, February 2017

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

Apache Version 2; commercial licenses available as Gemfire

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

C++, Java, .Net

Java

Server operating systems

Linux
OS X
Solaris
Windows

Linux
macOS

All OS with a Java VM

the JDK (8 or later) is also required

Data scheme

yes

schema-free

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 queries

SQL-like query language (OQL)

APIs and other access methods

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

gRPC
JDBC
Kafka Connector
ODBC

Java Client API
Memcached protocol
RESTful HTTP API

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

Java
Python

.Net
All JVM based languages
C++
Groovy
Java
Scala

Server-side scripts

Stored procedures

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

user defined functions

Triggers

yes (cache interceptors and events)

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

yes

Multi-source replication

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

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using Linux fsync

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

Security Hooks for custom implementations

Access rights per client and object definable

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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, PR Newswire

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

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Pilosa: A Scalable High Performance Bitmap Database Index
17 June 2019, HackerNoon

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28 September 2021, Business Insider

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11 February 2024, KGUN 9

HPE acquires Ampool to gain distributed SQL engine
9 July 2021, VentureBeat

TIBCO Announces Acquisition of High-Performance In-Memory Data Platform SnappyData
7 March 2019, PR Newswire

GitHub Security Lab a project to identify vulnerabilities in open source software
30 January 2021, Desde Linux

provided by Google News

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