ElasticSearch - Distributed, RESTful search and analytics engine

•    Java

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.

Solr - Blazing-fast, open source enterprise search platform

•    Java

Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.

LuMongo - Realtime Time Distributed Search

•    Java

LuMongo is a real-time distributed search and storage system based on Lucene. LuMongo is designed from the ground up to scale both vertically and horizontally across servers. LuMongo stores Lucene indexes directly into MongoDB. Documents can be stored natively into MongoDB. When stored natively document can be queried as normal out of MongoDB and use of Map-Reduce and the Aggregation Framework is possible.

Crate - The fast, scalable, easy to use SQL database with native full text search

•    Java

Crate is an open source, highly scalable, shared-nothing distributed SQL database. Crate offers the scalability and performance of a modern No-SQL database with the power of Standard SQL. Crate’s distributed SQL query engine lets you use the same syntax that already exists in your applications or integrations, and have queries seamlessly executed across the crate cluster, including any aggregations, if needed.

Pinot - A realtime distributed OLAP datastore

•    Java

Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally, so that it can scale to larger data sets and higher query rates as needed.

Apache Metron - Real-time Big Data Security

•    Java

Metron integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis. Metron provides capabilities for log aggregation, full packet capture indexing, storage, advanced behavioral analytics and data enrichment, while applying the most current threat intelligence information to security telemetry within a single platform.

Vespa - Yahoo's big data serving engine

•    Java

Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time. Vespa is serving platform for Yahoo.com, Yahoo News, Yahoo Sports, Yahoo Finance, Yahoo Gemini, Flickr.

AresDB - A GPU-powered real-time analytics storage and query engine

•    Go

AresDB is a GPU-powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.

snappydata - SnappyData - The Spark Database. Stream, Transact, Analyze, Predict in one cluster

•    Scala

Apache Spark is a general purpose parallel computational engine for analytics at scale. At its core, it has a batch design center and is capable of working with disparate data sources. While this provides rich unified access to data, this can also be quite inefficient and expensive. Analytic processing requires massive data sets to be repeatedly copied and data to be reformatted to suit Spark. In many cases, it ultimately fails to deliver the promise of interactive analytic performance. For instance, each time an aggregation is run on a large Cassandra table, it necessitates streaming the entire table into Spark to do the aggregation. Caching within Spark is immutable and results in stale insight. At SnappyData, we take a very different approach. SnappyData fuses a low latency, highly available in-memory transactional database (GemFireXD) into Spark with shared memory management and optimizations. Data in the highly available in-memory store is laid out using the same columnar format as Spark (Tungsten). All query engine operators are significantly more optimized through better vectorization and code generation. The net effect is, an order of magnitude performance improvement when compared to native Spark caching, and more than two orders of magnitude better Spark performance when working with external data sources.

ocPortal - Advanced CMS with many features

•    PHP

ocPortal CMS have all the features you would expect from a website engine: for instance photo galleries, news, file downloads and community forums/chats, but it does so whilst meeting the highest accessibility and professional standards. It is also smart enough to go beyond page management, to automatically handle search engine optimisation, and provide aggressive hack attack prevention.

Sentry - Realtime Platform-Agnostic Error Logging and Aggregation platform

•    Python

Sentry is a realtime event logging and aggregation platform. It specializes in monitoring errors and extracting all the information needed to do a proper post-mortem without any of the hassle of the standard user feedback loop.

opensoc - OpenSOC Apache Hadoop Code

OpenSOC integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis. OpenSOC provides capabilities for log aggregation, full packet capture indexing, storage, advanced behavioral analytics and data enrichment, while applying the most current threat intelligence information to security telemetry within a single platform. A mechanism to capture, store, and normalize any type of security telemetry at extremely high rates. Because security telemetry is constantly being generated, it requires a method for ingesting the data at high speeds and pushing it to various processing units for advanced computation and analytics.

Tantivy - Full-text search engine library inspired by Lucene and written in Rust

•    Rust

Tantivy is a full text search engine library written in rust. It is closer to Lucene than to Elastic Search and Solr in the sense it is not an off-the-shelf search engine server, but rather a crate that can be used to build such a search engine.

SenseiDB - Distributed, Realtime, Semi-Structured Database from LinkedIn

•    Java

Sensei is a distributed data system that was built to support many product initiatives at LinkedIn, including the real-time faceted search in LinkedIn Signal and the news feed and tabs on the Homepage. Sensei is both a search engine and a database. It is designed to query and navigate through documents that consist of unstructured text and well-formed and structured metadata. Sensei is both a search engine and a database.

Elasticlunr.js - Lightweight full-text search engine in Javascript for browser search and offline search

•    Javascript

Elasticlunr.js is a lightweight full-text search engine in Javascript for browser search and offline search. Elasticlunr.js is developed based on Lunr.js, but more flexible than lunr.js. Elasticlunr.js provides Query-Time boosting and field search. Elasticlunr.js is a bit like Solr, but much smaller and not as bright, but also provide flexible configuration and query-time boosting.

Manticore Search - High performance full-text search engine with SQL and JSON support

•    C++

Manticore Search is an open source high performance full-text search oriented engine. It is a fork of Sphinx Search. Manticore Search is written in C++. It means speed and low resource consumption, it means you don’t have to worry about a garbage collector that suddenly makes a trouble.

Strus - Full text Search Engine in C++

•    C++

The open source project strus provides a collection of C++ (C++98) libraries and command line tools for building a full-text search engine. The strus search engine can be build using any key value store database that provides an upper bound seek function for the stored key/value pairs. Currently there exists an implementation based on the LevelDB library.

Lemur - Search Engine

•    Java

The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software. The project is best known for its Indri search engine, Lemur Toolbar, and ClueWeb09 dataset.

DeepVideoAnalytics - A distributed visual search and visual data analytics platform.

•    Python

Deep Video Analytics is a platform for indexing and extracting information from videos and images. With latest version of docker installed correctly, you can run Deep Video Analytics in minutes locally (even without a GPU) using a single command. Deep Video Analytics implements a client-server architecture pattern, where clients can access state of the server via a REST API. For uploading, processing data, training models, performing queries, i.e. mutating the state clients can send DVAPQL (Deep Video Analytics Processing and Query Language) formatted as JSON. The query represents a directed acyclic graph of operations.

Lucene - A high-performance, full-featured text search engine library

•    Java

Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.