Displaying 1 to 8 from 8 results

HBase - Hadoop database

  •    Java

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.

ArangoDB - The Multi-purpose NoSQL DB

  •    C++

ArangoDB is a multi-purpose open-source database with flexible data model for documents, graphs, and key-values. Build high performance application using a convenient sql-like query language or JavaScript/Ruby extensions. Its key features are Schema-free, Convenient querying using AQL, Extendable through JS, Space efficiency, Supports modern storage hardware, like SSD and large caches and lot more.

Druid IO - Real Time Exploratory Analytics on Large Datasets

  •    Java

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations. Druid can load both streaming and batch data.

CouchDB - A Database for the Web

  •    Erlang

Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution.




ConcourseDB - Self-tuning database designed for both transactions and ad hoc analytics across time

  •    Java

ConcourseDB is a distributed self-tuning database with automatic indexing, version control and ACID transactions. ConcourseDB provides a more intuitive approach to data management that is easy to deploy, access and scale while maintaining the strong consistency of traditional database systems.

Apache Arrow - Powering Columnar In-Memory Analytics

  •    Java

Apache arrow is an open source, low latency SQL query engine for Hadoop and NoSQL. Arrow enables execution engines to take advantage of the latest SIMD (Single input multiple data) operations included in modern processors, for native vectorized optimization of analytical data processing. Columnar layout of data also allows for a better use of CPU caches by placing all data relevant to a column operation in as compact of a format as possible.

AsterixDB - Big Data Management System (BDMS)

  •    Java

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more).

dariadb - dariadb - is a numeric time-series database storage engine.

  •    C++

Optionaly you can install jemalloc for better memory usage. Clang currently does not supported.






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