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Aerospike (database)
Aerospike Database is a flash memory and in-memory open source distributed key value NoSQL database management system, marketed by the company also named Aerospike. History Aerospike was first known as Citrusleaf. In August 2012, the company - which had been providing its database since 2010 - rebranded both the company and software name to Aerospike. The name "Aerospike" is derived from the aerospike engine, a type of rocket nozzle that is able to maintain its output efficiency over a large range of altitudes, and is intended to refer to the software's ability to scale up. In 2012, Aerospike acquired AlchemyDB, and integrated the two databases' functions, including the addition of a relational data management system. On June 24, 2014, Aerospike was opensourced under the AGPL 3.0 license for the Aerospike database server and the Apache License Version 2.0 for its Aerospike client software development kit. Release history Features Aerospike Database is modeled under the share ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Aerospike (company)
Aerospike is the company behind the Aerospike open source NoSQL distributed database management system. Citrusleaf, a Mountain View, California based company which rebranded to Aerospike in August 2012, announced the product in 2011. The software is used by developers to deploy real-time big data applications. History Citrusleaf was founded in 2009 by CTO Brian Bulkowski and vice president of engineering and operations Srini V. Srinivasan. The company rebranded to Aerospike in 2012. The database was initially used mainly in the advertising industry as a server-side cookie store, where read and write performance is paramount. It formed the core user data storage for adMarketplace and several other advertising companies including BlueKai, Tapad, The Trade Desk, Sony's So-net, and eXelate. Other customers include payment systems, gaming, cyber-security, and e-commerce industries. In 2012, the web site Wikibon promoted Aerospike for transactional analytic applications. It had au ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
The Register
''The Register'' is a British technology news website co-founded in 1994 by Mike Magee, John Lettice and Ross Alderson. The online newspaper's masthead sublogo is "''Biting the hand that feeds IT''." Their primary focus is information technology news and opinions. Situation Publishing Ltd is listed as the site's publisher. Drew Cullen is an owner and Linus Birtles is the managing director. Andrew Orlowski was the executive editor before leaving the website in May 2019. History ''The Register'' was founded in London as an email newsletter called ''Chip Connection''. In 1998 ''The Register'' became a daily online news source. Magee left in 2001 to start competing publications '' The Inquirer'', and later the '' IT Examiner'' and '' TechEye''.Walsh, Bob (2007). ''Clear Blogging: How People Blogging Are Changing the World and How You Can Join Them.'' Apress, In 2002, ''The Register'' expanded to have a presence in London and San Francisco, creating ''The Register USA'' at t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Long-term Support
Long-term support (LTS) is a product lifecycle management policy in which a stable release of computer software is maintained for a longer period of time than the standard edition. The term is typically reserved for open-source software, where it describes a software edition that is supported for months or years longer than the software's standard edition. ''Short term support'' (STS) is a term that distinguishes the support policy for the software's standard edition. STS software has a comparatively short life cycle, and may be afforded new features that are omitted from the LTS edition to avoid potentially compromising the stability or compatibility of the LTS release. Characteristics LTS applies the tenets of reliability engineering to the software development process and software release life cycle. Long-term support extends the period of software maintenance; it also alters the type and frequency of software updates ( patches) to reduce the risk, expense, and disruption of s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Time To Live
Time to live (TTL) or hop limit is a mechanism which limits the lifespan or lifetime of data in a computer or network. TTL may be implemented as a counter or timestamp attached to or embedded in the data. Once the prescribed event count or timespan has elapsed, data is discarded or revalidated. In computer networking, TTL prevents a data packet from circulating indefinitely. In computing applications, TTL is commonly used to improve the performance and manage the caching of data. Description The original DARPA Internet Protocol's RFC document describes TTL as: IP packets Under the Internet Protocol, TTL is an 8-bit field. In the IPv4 header, TTL is the 9th octet of 20. In the IPv6 header, it is the 8th octet of 40. The maximum TTL value is 255, the maximum value of a single octet. A recommended initial value is 64. The time-to-live value can be thought of as an upper bound on the time that an IP datagram can exist in an Internet system. The TTL field is set by the sende ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
HyperLogLog
HyperLogLog is an algorithm for the count-distinct problem, approximating the number of distinct elements in a multiset. Calculating the ''exact'' cardinality of the distinct elements of a multiset requires an amount of memory proportional to the cardinality, which is impractical for very large data sets. Probabilistic cardinality estimators, such as the HyperLogLog algorithm, use significantly less memory than this, at the cost of obtaining only an approximation of the cardinality. The HyperLogLog algorithm is able to estimate cardinalities of > 109 with a typical accuracy (standard error) of 2%, using 1.5 kB of memory. HyperLogLog is an extension of the earlier LogLog algorithm, itself deriving from the 1984 Flajolet–Martin algorithm. Terminology In the original paper by Flajolet ''et al.'' and in related literature on the count-distinct problem, the term "cardinality" is used to mean the number of distinct elements in a data stream with repeated elements. How ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Compression
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation. Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by removing unnecessary or less important information. Typically, a device that performs data compression is referred to as an encoder, and one that performs the reversal of the process (decompression) as a decoder. The process of reducing the size of a data file is often referred to as data compression. In the context of data transmission, it is called source coding; encoding done at the source of the data before it is stored or transmitted. Source coding should not be confused with channel coding, for error detection and correction or line coding, the means for mapping data onto a signa ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Persistent Memory
In computer science, persistent memory is any method or apparatus for efficiently storing data structures such that they can continue to be accessed using memory instructions or memory APIs even after the end of the process that created or last modified them. Often confused with non-volatile random-access memory (NVRAM), persistent memory is instead more closely linked to the concept of persistence in its emphasis on program state that exists outside the fault zone of the process that created it. (A process is a program under execution. The fault zone of a process is that subset of program state which could be corrupted by the process continuing to execute after incurring a fault, for instance due to an unreliable component used in the computer executing the program.) Efficient, memory-like access is the defining characteristic of persistent memory. It can be provided using microprocessor memory instructions, such as load and store. It can also be provided using APIs that implem ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Jakarta Messaging
The Jakarta Messaging API (formerly Java Message Service or JMS API) is a Java application programming interface (API) for message-oriented middleware. It provides generic messaging models, able to handle the producer–consumer problem, that can be used to facilitate the sending and receiving of messages between software systems. Jakarta Messaging is a part of Jakarta EE and was originally defined by a specification developed at Sun Microsystems before being guided by the Java Community Process. General idea of messaging Messaging is a form of ''loosely coupled'' distributed communication, where in this context the term 'communication' can be understood as an exchange of messages between software components. Message-oriented technologies attempt to relax ''tightly coupled'' communication (such as TCP network sockets, CORBA or RMI) by the introduction of an intermediary component. This approach allows software components to communicate with each other indirectly. Benefits of t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Apache Kafka
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka can connect to external systems (for data import/export) via Kafka Connect, and provides the Kafka Streams libraries for stream processing applications. Kafka uses a binary TCP-based protocol that is optimized for efficiency and relies on a "message set" abstraction that naturally groups messages together to reduce the overhead of the network roundtrip. This "leads to larger network packets, larger sequential disk operations, contiguous memory blocks ..which allows Kafka to turn a bursty stream of random message writes into linear writes." History Kafka was originally developed at LinkedIn, and was subsequently open sourced in early 2011. Jay Kreps, Neha Narkhede and Jun Rao helped co-cre ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
LDAP
The Lightweight Directory Access Protocol (LDAP ) is an open, vendor-neutral, industry standard application protocol for accessing and maintaining distributed directory information services over an Internet Protocol (IP) network. Directory services play an important role in developing intranet and Internet applications by allowing the sharing of information about users, systems, networks, services, and applications throughout the network. As examples, directory services may provide any organized set of records, often with a hierarchical structure, such as a corporate email directory. Similarly, a telephone directory is a list of subscribers with an address and a phone number. LDAP is specified in a series of Internet Engineering Task Force (IETF) Standard Track publications called Request for Comments (RFCs), using the description language ASN.1. The latest specification is Version 3, published aRFC 4511ref name="gracion Gracion.com. Retrieved on 2013-07-17. (a road map to t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Strong Consistency
Strong consistency is one of the consistency models used in the domain of concurrent programming (e.g., in distributed shared memory, distributed transactions). The protocol is said to support strong consistency if: # All accesses are seen by all parallel processes (or nodes, processors, etc.) in the same order (sequentially) Therefore, only one consistent state can be observed, as opposed to weak consistency, where different parallel processes (or nodes, etc.) can perceive variables in different states. See also * CAP theorem In theoretical computer science, the CAP theorem, also named Brewer's theorem after computer scientist Eric Brewer, states that any distributed data store can provide only two of the following three guarantees:Seth Gilbert and Nancy Lynch"Brewer ... References Consistency models {{Tech-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Transparent Data Encryption
Transparent Data Encryption (often abbreviated to TDE) is a technology employed by Microsoft, IBM and Oracle to encrypt database files. TDE offers encryption at file level. TDE solves the problem of protecting data at rest, encrypting databases both on the hard drive and consequently on backup media. It does not protect data in transit nor data in use. Enterprises typically employ TDE to solve compliance issues such as PCI DSS which require the protection of data at rest. Microsoft offers TDE as part of its Microsoft SQL Server 2008, 2008 R2, 2012, 2014, 2016, 2017 and 2019. TDE was only supported on the Evaluation, Developer, Enterprise and Datacenter editions of Microsoft SQL Server, until it was also made available in the Standard edition for 2019. SQL TDE is supported by hardware security modules from Thales e-Security, Townsend Security and SafeNet, Inc. IBM offers TDE as part of Db2 as of version 10.5 fixpack 5. It is also supported in cloud versions of the product by de ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
