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What is Amazon DynamoDB?
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. ... With DynamoDB, you can create database tables that can store and retrieve any amount of data, and serve any level of request traffic.

Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache that can reduce Amazon DynamoDB response times from milliseconds to microseconds, even at millions of requests per second.

Forrester Research positions Amazon Web Services in the Leaders Category of the Forrester Wave Big Data NoSQL, Q3. According to Forrester, Amazon DynamoDB is the most popular NoSQL cloud database. Learn why DynamoDB has proven to be a cost-effective NoSQL database solution for three organizations interviewed by IDC.

DynamoDB exposes performance metrics that helps provision it correctly and to keep applications using DynamoDB running smoothly:

  • Requests and throttling
  • Errors: ConditionalCheckFailedRequests, UserErrors, SystemErrors
  • Metrics related to Global Secondary Index creation

The DynamoDB Triggers feature integrates with AWS Lambda to allow a developer to code actions based on updates to items in a DynamoDB table, such as sending a notification or connecting a table to another data source. The developer associates a Lambda function, which stores the logic code, with the stream on a DynamoDB table. AWS Lambda then reads updates to a table from a stream and executes the function.​

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posted Sep 13 by Manish Tiwari

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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.
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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. 

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What is Mark Logic?

MarkLogic is an operational and transactional Enterprise NoSQL database that integrates data better, faster, with less cost.
MarkLogic is a single product that combines features of a highly distributed NoSQL database, a search engine, all with application services layered over the top.
In MarkLogic the search engine is part of the same product. Thus you don’t need to ‘bolt on’ a third party product with all the integration code and separate update schedules that implies. Also, MarkLogic uses the same underlying indexes for simple primary/secondary key fetching of documents (a la database access) as it does for use by the search engine. Thus MarkLogic is more frugal on disc requirements for indexes.

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Features

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What is LMDB?
Lightning Memory-Mapped Database (LMDB) is a software library that provides a high-performance embedded transactional database in the form of a key-value store. LMDB is written in C with API bindings for several programming languages.

LMDB is a Btree-based database management library modeled loosely on the BerkeleyDB API, but much simplified. The entire database is exposed in a memory map, and all data fetches return data directly from the mapped memory, so no malloc's or memcpy's occur during data fetches. As such, the library is extremely simple because it requires no page caching layer of its own, and it is extremely high performance and memory-efficient. It is also fully transactional with full ACID semantics, and when the memory map is read-only, the database integrity cannot be corrupted by stray pointer writes from application code.

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Unlike other well-known database mechanisms which use either write-ahead transaction logs or append-only data writes, LMDB requires no maintenance during operation. Both write-ahead loggers and append-only databases require periodic checkpointing and/or compaction of their log or database files otherwise they grow without bound. LMDB tracks free pages within the database and re-uses them for new write operations, so the database size does not grow without bound in normal use

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What is Aerospike?

Aerospike is a key-value, in-memory, operational NoSQL database with ACID properties which support complex objects and easy to scale. But I have already used something which does absolutely the same.

Aerospike is designed to be the premier high speed, scalable, and reliable NoSQL database. Every line of Aerospike code, every architectural decision focuses on high performance and easy scaling and operations:   

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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.

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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.

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