Popularity

9.4

Stable

Activity

9.7

Stable

Stars 4,185

Watchers 281

Forks 1,772

Last Commit 6 days ago

Code Quality Rank: L4

Programming language: Java

License: Apache License 2.0

Tags: Database

Latest version: v2.8.0

Ignite alternatives and similar packages

Based on the "Database" category.
Alternatively, view Apache Ignite alternatives based on common mentions on social networks and blogs.

Mongo DB

9.9 10.0 L1 Ignite VS Mongo DB

The MongoDB Database
LiteDB

9.5 5.7 L3 Ignite VS LiteDB

LiteDB - A .NET NoSQL Document Store in a single data file - https://www.litedb.org

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Event Store

9.0 9.4 L3 Ignite VS Event Store

The stream database optimised for event sourcing
RavenDB

8.8 9.9 L2 Ignite VS RavenDB

ACID Document Database
SqlKata Query Builder

8.1 5.3 Ignite VS SqlKata Query Builder

SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird
Marten

7.5 9.7 L5 Ignite VS Marten

.NET Transactional Document DB and Event Store on PostgreSQL
Realm Xamarin

6.5 9.2 L2 Ignite VS Realm Xamarin

Realm is a mobile database: a replacement for SQLite & ORMs
Yessql

6.5 5.2 L3 Ignite VS Yessql

A .NET document database working on any RDBMS
Insight.Database

6.1 2.9 L2 Ignite VS Insight.Database

Fast, lightweight .NET micro-ORM
BrightstarDb

5.1 0.0 L2 Ignite VS BrightstarDb

This is the core development repository for BrightstarDB.
DBreeze

4.8 6.0 Ignite VS DBreeze

C# .NET MONO NOSQL ( key value store embedded ) ACID multi-paradigm database management system.
Streamstone

4.5 6.2 L4 Ignite VS Streamstone

Event store for Azure Table Storage
NReco LambdaParser

3.9 0.0 L3 Ignite VS NReco LambdaParser

Runtime parser for string expressions (formulas, method calls). Builds dynamic LINQ expression tree and compiles it to lambda delegate.
StringDB

2.3 0.0 Ignite VS StringDB

StringDB is a modular, key/value pair archival DB designed to consume *tiny* amounts of ram & produce *tiny* databases.
Firebase.Net

2.0 0.0 Ignite VS Firebase.Net

C# wrapper over Firebase database REST API
Mailcloud.Hydra

1.8 1.7 L5 Ignite VS Mailcloud.Hydra

A set of components to take the most advantage of performance and capacity of Azure Storage.
Db4o-gpl

1.7 3.4 Ignite VS Db4o-gpl

new Db4o GPL Source Code for Java7+ & .netstardard2.0 Android Xamarin..., the best database project to help you to learn how to make databases

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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README

Apache Ignite

GitHub commit activity

What is Apache Ignite?

Apache Ignite is a distributed database for high-performance computing with in-memory speed.

Multi-Tier Storage

Apache Ignite is designed to work with memory, disk, and Intel Optane as active storage tiers. The memory tier allows using DRAM and Intel® Optane™ operating in the Memory Mode for data storage and processing needs. The disk tier is optional with the support of two options -- you can persist data in an external database or keep it in the Ignite native persistence. SSD, Flash, HDD, or Intel Optane operating in the AppDirect Mode can be used as a storage device.

Ignite Native Persistence

Even though Apache Ignite is broadly used as a caching layer on top of external databases, it comes with its native persistence - a distributed, ACID, and SQL-compliant disk-based store. The native persistence integrates into the Ignite multi-tier storage as a disk tier that can be turned on to let Ignite store more data on disk than it can cache in memory and to enable fast cluster restarts.

ACID Compliance

Data stored in Ignite is ACID-compliant both in memory and on disk, making Ignite a strongly consistent system. Ignite transactions work across the network and can span multiple servers.

ANSI SQL Support

Apache Ignite comes with a ANSI-99 compliant, horizontally scalable, and fault-tolerant SQL engine that allows you to interact with Ignite as with a regular SQL database using JDBC, ODBC drivers, or native SQL APIs available for Java, C#, C++, Python, and other programming languages. Ignite supports all DML commands, including SELECT, UPDATE, INSERT, and DELETE queries as well as a subset of DDL commands relevant for distributed systems.

Machine Learning and High-Performance Computing

Apache Ignite Machine Learning is a set of simple, scalable, and efficient tools that allow building predictive machine learning models without costly data transfers. The rationale for adding machine and deep learning to Apache Ignite is quite simple. Today's data scientists have to deal with two major factors that keep ML from mainstream adoption.

High-performance computing (HPC) is the ability to process data and perform complex calculations at high speeds. Using Apache Ignite as a high-performance compute cluster, you can turn a group of commodity machines or a cloud environment into a distributed supercomputer of interconnected Ignite nodes. Ignite enables speed and scale by processing records in memory and reducing network utilization with APIs for data and compute-intensive calculations. Those APIs implement the MapReduce paradigm and allow you to run arbitrary tasks across the cluster of nodes.

*Note that all licence references and agreements mentioned in the Ignite README section above are relevant to that project's source code only.