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"HDF (Hierarchical Data Format) technologies are relevant when the data challenges being faced push the limits of what can be addressed by traditional database systems, XML documents, or in-house data formats. Leveraging the powerful HDF products and the expertise of The HDF Group, organizations realize substantial cost savings while solving challenges that seemed intractable using other data management technologies. Many HDF adopters have very large datasets, very fast access requirements, or very complex datasets. Others turn to HDF because it allows them to easily share data across a wide variety of computational platforms using applications written in different programming languages. Some use HDF to take advantage of the many open-source and commercial tools that understand HDF. Similar to XML documents, HDF files are self-describing and allow users to specify complex data relationships and dependencies. In contrast to XML documents, HDF files can contain binary data (in many representations) and allow direct access to parts of the file without first parsing the entire contents. HDF, not surprisingly, allows hierarchical data objects to be expressed in a very natural manner, in contrast to the tables of relational database. Whereas relational databases support tables, HDF supports n-dimensional datasets and each element in the dataset may itself be a complex object. Relational databases offer excellent support for queries based on field matching, but are not well-suited for sequentially processing all records in the database or for subsetting the data based on coordinate-style lookup."

"These are the major new features added since Slick 1.0.1: A code generator that reverse-engineers the database schema and generates all code required for working with Slick. New driver architecture to allow support for non-SQL, non-JDBC databases. Table definitions in the Lifted Embedding use a new syntax which is slightly more verbose but also more robust and logical, avoiding several pitfalls from earlier versions. Table definitions (and their * projections) are not restricted to flat tuples of columns anymore. They can use any type that would be valid as the return type of a Query. The old projection concatenation methods ~ and ~: are still supported but not imported by default. In addition to Scala tuples, Slick supports its own HList abstraction for records of arbitrary size. You can also add support for your own record types with only a few lines of code. All record types can be used everywhere (including table definitions and mapped projections) and they can be mixed and nested arbitrarily. Soft inserts are now the default, i.e. AutoInc columns are automatically skipped when inserting with +=, ++=, insert and insertAll. This means that you no longer need separate projections (without the primary key) for inserts. There are separate methods forceInsert and forceInsertAll in JdbcProfile for the old behavior. A new model for pre-compiled queries replaces the old QueryTemplate abstraction. Any query (both, actual collection-valued Query objects and scalar queries) or function from Column types to such a query can now be lifted into a Compiled wrapper. Lifted functions can be applied (without having to recompile the query), and you can use both monadic composition of Compiled values or just get the underlying query and use that for further composition. Pre-compiled queries can now be used for update and delete operations in addition to querying. threadLocalSession has been renamed to dynamicSession and the corresponding methods have distinct names (e.g. w

"Comdb2 is a relational database built in-house at Bloomberg L.P. over the last 14 years or so. It started with a modest goal of replacing an older home-grown system to allow databases to stay in sync easier. SQL was added early in its development, and it quickly started replacing other relational databases in addition to its original goal. Comdb2 today holds a good chunk of Bloomberg's data, and is continually developed by a dedicated team."

"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."

"Bolt is a pure Go key/value store inspired by Howard Chu's and the LMDB project. The goal of the project is to provide a simple, fast, and reliable database for projects that don't require a full database server such as Postgres or MySQL."

"A new system that automatically streamlines database access patterns can make large Web applications up to three times as fast."

"Redmine is a flexible project management web application. It is cross-platform and cross-database. Redmine is open source and released under the terms of the GNU General Public License v2 (GPL). Features Some of the main features of Redmine are: Multiple projects support Flexible role based access control Flexible issue tracking system Gantt chart and calendar News, documents & files management Feeds & email notifications Per project wiki Per project forums Time tracking Custom fields for issues, time-entries, projects and users SCM integration (SVN, CVS, Git, Mercurial, Bazaar and Darcs) Issue creation via email Multiple LDAP authentication support User self-registration support Multilanguage support Multiple databases support"

"A typical Java EE application consists of an application server, such as WildFly, and a database, such as MySQL. In addition, you might have a separate front-end tier, say Apache, for load balancing a number of application server. A caching layer, such as Infinispan, may be used to improve overall application performance. Messaging system, such as ActiveMQ, may be used for processing queues. Both the caching and messaging components could be setup as a cluster for further scalability. This Tech Tip will show some simple Docker recipes to configure your containers that use application server and database. Subsequent blog will cover more advanced recipes that will include front-end, caching, messaging, and clustering. "

"general purpose extensions to golang's database/sql "

"CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data. "

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"Optiq makes data anywhere, of any format, look like a database."

"The Neo4j Scala wrapper library allows you the Neo4j open source graph database through a domain-specific simplified language."

"Datomic is a distributed database designed to enable scalable, flexible and intelligent applications, running on next-generation cloud architectures. It does this by: Bringing declarative data manipulation into the application, and the data with it Getting time, process and perception right Process (writes) require coordination Perception (reads) require none The past doesn't change Leveraging immutability, and a sound model of state Datomic has: ACID Transactions Joins A sound data model A logical query language - Datalog Thus, Datomic avoids the compromises and losses of many NoSQL solutions. In addition, it offers flexibility and power over the traditional model in supporting: Hierarchy Multi-valued attributes Minimal schema Reliable operation on unreliable, ephemeral cloud instances Time Datomic avoids manual caching and replication, complex configuration, sharding (automatic or manual), logging, locking, latching and disk management of traditional servers."

"Async, Netty based, database drivers for PostgreSQL and MySQL written in Scala"

"The newest round of performance comparisons of PostgreSQL and MongoDB produced a near repeat of the results from the first tests that proved PostgreSQL can outperform MongoDB. The advances Postgres has made with JSON and JSONB have transformed Postgres' ability to support a document database."

"OpenAM centralizes authentication by using a variety of authentication modules. Authentication modules connect to identity repositories that store identities and provide authentication services. The identity repositories can be implemented as LDAP directories, relational databases, RADIUS, Windows authentication, one-time password services, other standards-based access management systems and much more."

"TiDB is a distributed NewSQL database compatible with MySQL protocol"