Voldemort is a distributed key-value storage system. Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data. 
Server failure is handled transparently. It is used at LinkedIn for certain high-scalability storage problems where simple functional partitioning is not sufficient.

Project-voldemort - A distributed database, Clone of Amazon's Dynamo

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance. 

 Cassandra provides support for Scale out, load balancing, cluster growth, Flexible schema, Key-oriented queries and CAP theorem (Consistency, Availability, Partition tolerance). It is in use at Digg, Facebook, Twitter, Reddit, Rackspace, Cloudkick, Cisco and more companies.

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance.

Cassandra - Scalable Distributed Database

HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.

HBase -  Hadoop database

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Doris provides batch data loading and real-time mini-batch data loading. It provides high availability, reliability, fault tolerance, and scalability. Its original name was Palo, developed in Baidu. 
 
<ul><li>Uses MySQL protocol to communicate. Users can connect to Doris cluster through MySQL client or MySQL JDBC</li><li>Support standard SQL language, compatible with MySQL protocol</li><li>Vectorized SQL executor</li><li>Getting result of a query within one second</li><li>Rollup, novel pre-computation mechanism
</li><li>Effective data model for aggregation</li><li>High performance, high availability, high reliability</li><li>Easy for operation, Elastic data warehouse for big data</li></ul>

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Doris provides batch data loading and real-time mini-batch data loading. It provides high availability, reliability, fault tolerance, and scalability. Its original name was Palo, developed in Baidu. 

Apache Doris -  A fast MPP database for all modern analytics on big data

Hippo CMS (Hippo Content Management System) is the web-based graphical user interface that provides access to the content in the repository. It provides an easy way to create and manage your content, i.e. to write or upload, share, print, search, refer to, edit and structure content, assign rights to do so, have content automatically validated against your business rules and restore previous versions of the content. Hippo CMS is a web application, essentially providing the user interface through which the content management and administrative functionalities exposed by Hippo Repository can be used in an intuitive and user friendly way. Hippo CMS is fully customizable through a GUI plugin architecture based on the Apache Wicket web application framework. It provides features such as Multi user management, Content search, Versioning, Out of the box support for multi-language, multi-site and multi-channel implementations. Query content using REST, hook up an external application into the rendering phase via Spring. Build a Mobile app or an AngularJS app that consumes content from Hippo.

Hippo CMS (Hippo Content Management System) is the web-based graphical user interface that provides access to the content in the repository. It provides an easy way to create and manage your content, i.e. to write or upload, share, print, search, refer to, edit and structure content, assign rights to do so, have content automatically validated against your business rules and restore previous versions of the content.

Hippo CMS - Enterprise Java Content Management system

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.

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

Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals. It is a native Blueprints enabled graph database and as such, it supports the full TinkerPop stack of technologies.

Titan - Scalable Graph Database 

GoldenOrb is a cloud-based project for massive-scale graph analysis, built upon Apache Hadoop and modeled after Google's Pregel architecture. It provides solutions to complex data problems, remove limits to innovation and contribute to the emerging ecosystem that spans all aspects of big data analysis. It enables users to run analytics on entire data sets instead of samples. 
 Source code: <A HREF="https://github.com/raveldata/goldenorb" target="_blank">https://github.com/raveldata/goldenorb</A>

GoldenOrb is a cloud-based project for massive-scale graph analysis, built upon Apache Hadoop and modeled after Google's Pregel architecture. It provides solutions to complex data problems, remove limits to innovation and contribute to the emerging ecosystem that spans all aspects of big data analysis. It enables users to run analytics on entire data sets instead of samples. 

GoldenOrb - Scalable Graph Analysis

Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM. It helps to write simpler correct concurrent applications using Actors, STM & Transactors. It could scale out on multi-core or multiple nodes using asynchronous message passing. For fault-tolerance it adopts the Let it crash or Embrace failure model to build applications that self-heals, systems that never stop.

Akka - Build Concurrent and Scalable Applications

Cloudata is Distributed Large scale Structured Data Storage, and open source project implementing Google's Bigtable. It's DBMS(Database Management System), but not Relational DBMS. It can store more than Peta bytes.

Cloudata - Structured Data Storage implementing Google's Bigtable.

S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. S4 has been deployed in production systems at Yahoo to process thousands of search queries per second.

s4 - Distributed Stream Computing Platform

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