Small Discussion About ArangoDB?

What is ArangoDB?

ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high-performance applications using a convenient SQL-like query language or JavaScript extensions.

Multi-Model: Documents, graphs and key-value pairs — model your data as you see fit for your application.
Joins: Conveniently join what belongs together for flexible ad-hoc querying, less data redundancy.
Transactions: Easy application development keeping your data consistent and safe. No hassle in your client.

ArangoDB is to use the arangoimp command-line tool. arangoimp allows you to import data records from a file into an existing database collection.

ArangoDB provides scalable, highly efficient queries when working with graph data.The database uses JSON as a default storage format, but internally it uses ArangoDB's VelocyPack - a fast and compact binary format for serialization and storage.ArangoDB can natively store a nested JSON object as a data entry inside a collection. Therefore, there is no need to disassemble the resulting JSON objects.

Video for ArangoDB?

Small overview about MemcacheDB?

What is MemcacheDB ?

MemcacheDB is a distributed key-value storage system designed for persistent. It is NOT a cache solution, but a persistent storage engine for fast and reliable key-value based object storage and retrieval. It conforms to memcache protocol(not completed, see below), so any memcached client can have connectivity with it. MemcacheDB uses Berkeley DB as a storing backend, so lots of features including transaction and replication are supported.

Free & open source, high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

Memcached is simple yet powerful. Its simple design promotes quick deployment, ease of development, and solves many problems facing large data caches. Its API is available for most popular languages.

MemcacheDB is compatible with memcache protocol, so any clients that support memcache protocol have connectivity with it.

MemcacheDB Commands supports:

get(also mutiple get)
set, add, replace
append/prepend
incr, decr
delete
stats

A version of MemcacheDB using Lightning Memory-Mapped Database (LMDB) is also available, offering greater performance. MemcacheDB is accessed through the same protocol as memcached, so applications may use any memcached API as a means of accessing a MemcacheDB database.

MemcacheQ is a MemcacheDB variant that provides a simple message queue service.

Video for Memcache DB

https://www.youtube.com/watch?v=1u3Y7qB9ACM

Small overview about Scylla?

What is Scylla?

Scylla is an open-source distributed NoSQL data store. It was designed to be compatible with Apache Cassandra while achieving significantly higher throughputs and lower latencies. It supports the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable), but is a completely rewritten implementation, using the C++14 language replacing Cassandra's Java, and the Seastar asynchronous programming library replacing threads, shared memory, mapped files, and other classic Linux programming techniques.

Scylla uses a shared design on each node, meaning that each CPU core handles a different subset of data. Cores do not share data, but rather communicate explicitly when they need to. The Scylla authors claim that this design allows Scylla to achieve much better performance on modern NUMA SMP machines, and to scale very well with the number of cores. They have measured as much as 2 million requests per second on a single machine, and also claim that a Scylla cluster can serve as many requests as a Cassandra cluster 10 times its size - and do so with lower latencies.

Benefits

Low and Consistent Latency
Always-On Availability
10x Higher Throughput
Highly Scalable
Easy to Use
Community Backed
Compaction, Streaming and Repair Solved
Optimum Total Cost of Ownership
Auto Tuning

Video for Scylla

https://www.youtube.com/watch?v=URTyQIsXkJs

Small Discussion About Berkeley DB?

What is Berkeley DB?

Berkeley DB (BDB) is a software library intended to provide a high-performance embedded database for key/value data. Berkeley DB is written in C with API bindings for C++, C#, Java, Perl, PHP, Python, Ruby, Smalltalk, Tcl, and many other programming languages. BDB stores arbitrary key/data pairs as byte arrays, and supports multiple data items for a single key. Berkeley DB is not a relational database.

BDB can support thousands of simultaneous threads of control or concurrent processes manipulate

Berkeley DB is a family of embedded key-value database libraries providing scalable high-performance data management services to applications. The Berkeley DB products use simple function-call APIs for data access and management

There are 3 implementations of Oracle Berkeley DB:

Oracle Berkeley DB - implemented in C
Oracle Berkeley JE - implemented in Java
Oracle Berkeley XML - implemented in C++

The Berkeley DB library is extremely portable. It runs under almost all UNIX and Linux variants, Windows, and a number of embedded real-time operating systems. It runs on both 32-bit and 64-bit systems. It has been deployed on high-end Internet servers, desktop machines, and on palmtop computers, set-top boxes, in network switches, and elsewhere. Once Berkeley DB is linked into the application, the end user generally does not know that there's a database present at all.

Video for Berkeley DB

https://www.youtube.com/watch?v=eQfr8RqOqj8

Small Discussion About C-Tree Database?

What is C Tree ACE?
c-treeACE is a cross-platform database engine developed by FairCom Corporation. Software developers typically embed the c-treeACE engine within the applications that they create and then deploy the application and engine together as an integrated solution.

The nature of c-treeACE allows it to be used in a range of products including: embedded systems that require limited disk and memory footprint and silent operation; shrink-wrap products developed by ISVs that require cross-platform support, minimal maintenance, and mass deployment; and enterprise systems that depend on performance and more precision control of database operations than a traditional enterprise database offers.

Two versions of the product are available. c-treeACE Express is freely available for development from FairCom's web site and supports only the client/server architecture. The client-side libraries are precompiled, making it easy to use for evaluation. c-treeACE Professional is licensed separately and supports all architectures and includes full source code for the client libraries and much of the source code for the server.

c-treeACE is one of few databases that specialize in making data locked into legacy database architecture available to modern APIs while minimizing time, resources and risks involved in modernization projects.

c-treeACE combines the benefits of NoSQL such as high performance, low latency and precise data access control, with the flexbility of SQL interfaces.

c-treeACE engine is a prime embodiment of a NoSQL, full ACID-compliant key-value database. If you are looking for NoSQL, you need look no farther than the c-treeACE database technology which many trust every day. Keeping with these times, you may notice NoSQL terminology appearing in our communications. Our veteran c-tree developers know we are referring to our powerful ISAM engine in use by customers every day for over 30 years.

Video for C Tree

https://www.youtube.com/watch?v=UX6t3-VZ_1k

Small Discussion About InfiniteGraph?

What is InfiniteGraph?
InfiniteGraph is an enterprise distributed graph database implemented in Java, and is from a class of NOSQL (or Not Only SQL) database technologies that focus on graph data structures. Developers use Infinitegraph to find useful and often hidden relationships in highly connected big data sets.

Benefits:

Distributed
Intuitive
Cost Effective
Powerful Navigation

Features:

API/Protocols: Java (core C++)
Graph Model: Labeled directed multigraph. An edge is a first-class entity with an identity independent of the vertices it connects.
Backup, including online incremental backup and full restore.
Concurrency: Update locking on subgraphs, concurrent non-blocking ingest.
Consistency: Flexible (from ACID to relaxed).
Distribution: Lock server and 64-bit object IDs support dynamic addressing space (with each federation capable of managing up to 65,535 individual databases and 10^24 bytes (one quadrillion gigabytes, or a yottabyte) of physical addressing space).
Processing: Multi-threaded.
Cloud enabled.
Query Methods: Traverser and graph navigation API, predicate language qualification, path pattern matching.
Parallel query support.
Visualization tool.
Schema: Supports schema-full plus provides a mechanism for attaching side data.
Transactions: Fully ACID.
Tinkerpop Blueprints and Gremlin support.
Talend output connector to InfiniteGraph.
Source: Proprietary, with open source extensions, integrated components, and third party connectors.
License Options: Flexible pricing and license options.
Platforms: Windows, Linux, and Mac with full interoperability.

Video for InfiteGraph

https://www.youtube.com/watch?v=BjaY62aVP08

Small Discussion About Firebase?

What is Firebase?

The Firebase Realtime Database is a cloud-hosted database. Data is stored as JSON and synchronized in realtime to every connected client. When you build cross-platform apps with our iOS, Android, and JavaScript SDKs, all of your clients share one Realtime Database instance and automatically receive updates with the newest data.

The Firebase Realtime Database lets you build rich, collaborative applications by allowing secure access to the database directly from client-side code. Data is persisted locally, and even while offline, realtime events continue to fire, giving the end user a responsive experience. When the device regains connection, the Realtime Database synchronizes the local data changes with the remote updates that occurred while the client was offline, merging any conflicts automatically.

The Realtime Database provides a flexible, expression-based rules language, called Firebase Realtime Database Security Rules, to define how your data should be structured and when data can be read from or written to. When integrated with Firebase Authentication, developers can define who has access to what data, and how they can access it.

The Realtime Database is a NoSQL database and as such has different optimizations and functionality compared to a relational database.

Firebase realtime database is a schemaless database in which the data is stored in JSON format. Basically the entire database is a big JSON tree with multiple nodes. So when you plan your database, you need to prepare the json structure in way that the data is accessible in easier way by avoiding nesting of child nodes.

Firebase provides great support when comes to offline data. It automatically stores the data offline when there is no internet connection. When the device connects to internet, all the data will be pushed to realtime database.

Video for what is Firebase?

https://www.youtube.com/watch?v=U5aeM5dvUpA

Small Discussion About Zope?

What is Zope?

The Zope Object Database (ZODB) is an object-oriented database for transparently and persistently storing Python objects. It is included as part of the Zope web application server, but can also be used independently of Zope.

Because ZODB is an object database:

no separate language for database operations
very little impact on your code to make objects persistent
no database mapper that partially hides the database.

Using an object-relational mapping is not like using an object database.
almost no seam between code and database.

The Zope Foundation is an organization that promotes the development of the Zope platform by supporting the community that develops and maintains the relevant software components. The community includes both open source software, documentation and web infrastructure contributors, as well as business and organization consumers of the software platform. It manages the zope.org websites, an infrastructure for open source collaboration.

Plone uses the ZODB database. The ZODB happily stores any Python object with any attributes — there is no need to write database schema or table descriptions as there is with SQL-based systems. If data models are described somehow the descriptions are written in Python, usually using zope.schema package.

Video for Zope

https://www.youtube.com/watch?v=vnZ6dj_1c14

Small Discussion About ArangoDB?

References

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