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Clustrix
Clustrix, Inc. is a San Francisco-based private company founded in 2006 that developed a database management system marketed as NewSQL. History Clustrix was founded in November 2006, and is sometimes called ''Sprout-Clustrix'' as it formed with the help of Y Combinator (company), Y Combinator. Founders include Paul Mikesell (formerly of EMC Isilon) and Sergei Tsarev. Some of its technology tested at customers since 2008. Initially called ''Sierra'' during the development phase, at its official announcement in 2010, the product was launched with the product name ''Clustered Database System (CDS)''. The company received $10 million in funding from Sequoia Capital, U.S. Venture Partners (USVP), and ATA Ventures in December 2010. Robin Purohit became chief executive in October 2011, and another round of $6.75 million was raised in July 2012. Another round of funding from the original backers of $16.5 million was announced in May 2013, and a round of $10 million in new funding in Augu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
NewSQL
NewSQL is a class of relational database management system, relational database management systems that seek to provide the scalability of NoSQL systems for online transaction processing (OLTP) workloads while maintaining the ACID guarantees of a traditional database system. Many Enterprise software#Enterprise systems, enterprise systems that handle high-profile data (e.g., financial and order processing systems) are too large for conventional relational databases, but have Database transaction, transactional and consistency requirements that are not practical for NoSQL systems. The only options previously available for these organizations were to either purchase more powerful computers or to develop custom middleware that distributes requests over conventional DBMS. Both approaches feature high infrastructure costs and/or development costs. NewSQL systems attempt to reconcile the conflicts. History The term was first used by 451 Group analyst Matthew Aslett in a 2011 research ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Database
In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data. The DBMS additionally encompasses the core facilities provided to administer the database. The sum total of the database, the DBMS and the associated applications can be referred to as a database system. Often the term "database" is also used loosely to refer to any of the DBMS, the database system or an application associated with the database. Before digital storage and retrieval of data have become widespread, index cards were used for data storage in a wide range of applications and environments: in the home to record and store recipes, shopping lists, contact information and other organizational data; in business to record presentation notes, project research and notes, and contact information; in schools as flash c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ACID
An acid is a molecule or ion capable of either donating a proton (i.e. Hydron, hydrogen cation, H+), known as a Brønsted–Lowry acid–base theory, Brønsted–Lowry acid, or forming a covalent bond with an electron pair, known as a Lewis acid. The first category of acids are the proton donors, or Brønsted–Lowry acid–base theory, Brønsted–Lowry acids. In the special case of aqueous solutions, proton donors form the hydronium ion H3O+ and are known as Acid–base reaction#Arrhenius theory, Arrhenius acids. Johannes Nicolaus Brønsted, Brønsted and Martin Lowry, Lowry generalized the Arrhenius theory to include non-aqueous solvents. A Brønsted–Lowry or Arrhenius acid usually contains a hydrogen atom bonded to a chemical structure that is still energetically favorable after loss of H+. Aqueous Arrhenius acids have characteristic properties that provide a practical description of an acid. Acids form aqueous solutions with a sour taste, can turn blue litmus red, and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Shared Nothing Architecture
A shared-nothing architecture (SN) is a distributed computing architecture in which each update request is satisfied by a single node (processor/memory/storage unit) in a computer cluster. The intent is to eliminate contention among nodes. Nodes do not share (independently access) the same memory or storage. One alternative architecture is shared everything, in which requests are satisfied by arbitrary combinations of nodes. This may introduce contention, as multiple nodes may seek to update the same data at the same time. It also contrasts with shared-disk and shared-memory architectures. SN eliminates single points of failure, allowing the overall system to continue operating despite failures in individual nodes and allowing individual nodes to upgrade hardware or software without a system-wide shutdown. A SN system can scale simply by adding nodes, since no central resource bottlenecks the system. In databases, a term for the part of a database on a single node is a '' sha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Join (SQL)
A join clause in the Structured Query Language (SQL) combines column (database), columns from one or more table (database), tables into a new table. The operation corresponds to a Join (relational algebra), join operation in relational algebra. Informally, a join stitches two tables and puts on the same row records with matching fields : INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER and CROSS. Example tables To explain join types, the rest of this article uses the following tables: Department.DepartmentID is the primary key of the Department table, whereas Employee.DepartmentID is a foreign key. Note that in Employee, "Williams" has not yet been assigned to a department. Also, no employees have been assigned to the "Marketing" department. These are the SQL statements to create the above tables: CREATE TABLE department( DepartmentID INT PRIMARY KEY NOT NULL, DepartmentName VARCHAR(20) ); CREATE TABLE employee ( LastName VARCHAR(20), DepartmentID INT REFERENCE ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Lock (database)
Record locking is the technique of preventing simultaneous access to data in a database, to prevent inconsistent results. The classic example is demonstrated by two bank clerks attempting to update the same bank account for two different transactions. Clerks 1 and 2 both retrieve (i.e., copy) the account's record. Clerk 1 applies and saves a transaction. Clerk 2 applies a different transaction to his saved copy, and saves the result, based on the original record and his changes, overwriting the transaction entered by clerk 1. The record no longer reflects the first transaction, as if it had never taken place. A simple way to prevent this is to lock the file whenever a record is being modified by any user, so that no other user can save data. This prevents records from being overwritten incorrectly, but allows only one record to be processed at a time, locking out other users who need to edit records at the same time. To allow several users to edit a database table at the sam ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Unstructured Data
Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically plain text, text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotation, annotated (Tag (metadata), semantically tagged) in documents. In 1998, Merrill Lynch said "unstructured data comprises the vast majority of data found in an organization, some estimates run as high as 80%." It is unclear what the source of this number is, but nonetheless it is accepted by some. Other sources have reported similar or higher percentages of unstructured data. , International Data Corporation, IDC and Dell EMC project that data will grow to 40 zettabytes by 2020, resulting in a 50-fold growth from the beginnin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
MongoDB
MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB uses JSON-like documents with optional database schema, schemas. Released in February 2009 by 10gen (now MongoDB Inc.), it supports features like sharding, Replication (computing), replication, and ACID transactions (from version 4.0). MongoDB Atlas, its managed cloud service, operates on AWS, Google Cloud Platform, and Microsoft Azure. Current versions are licensed under the Server Side Public License (SSPL). MongoDB is a member of the MACH Alliance. History The American software company 10gen began developing MongoDB in 2007 as a component of a planned platform as a service, platform-as-a-service product. In 2009, the company shifted to an open-source development model and began offering commercial support and other services. In 2013, 10gen changed its name to MongoDB Inc. On October 20, 2017, MongoDB became a publicly traded company, listed on N ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
MemSQL
SingleStore (formerly MemSQL) is a distributed, relational, SQL database management system (RDBMS) that features ANSI SQL support, it is known for speed in data ingest, transaction processing, and query processing. SingleStore stores relational data, JSON data, geospatial data, key-value vector data, and time series data. It can be run in various Linux environments, including on-premises installations, public and private cloud providers, in containers via a Kubernetes operator, or as a hosted service in the cloud known as SingleStore Helios. Recent updates have included bi-directional integration with Apache Iceberg, faster vector search, enhanced full-text search, autoscaling and a ‘bring your own cloud’ deployment. In its latest release, v.8.9, SingleStore added support for continuous ingest from Iceberg tables, as well as Polaris and Hive catalogs, support for foreign languages as well as n-grams in full-text search; simplified pipelines; a no-code interface that simpl ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
VoltDB
Volt Active Data (formerly VoltDB) is an in-memory database designed by Michael Stonebraker, Sam Madden, and Daniel Abadi. It is an ACID-compliant RDBMS that uses a shared-nothing architecture, and is derived from work done by Stonebraker on OLTP system performance and optimization. It is available in both enterprise and community editions. The community edition is licensed under the GNU Affero General Public License. Architecture VoltDB is a NewSQL OLTP relational database that supports SQL access from within pre-compiled Java stored procedures. While direct SQL access is supported, the most efficient form of interaction is using stored procedure calls, as it involves fewer network trips. Stored procedures are written in Java by extending a class calleVoltProcedure and implementing a ‘run()’ method that includes both SQL statements and supporting Java logic. Internally data is managed by a C++ core to avoid garbage collection issues. VoltDB relies on horizontal p ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
In-memory Database
An in-memory database (IMDb, or main memory database system (MMDB) or memory resident database) is a database management system that primarily relies on main memory for computer data storage. It is contrasted with database management systems that employ a disk storage mechanism. In-memory databases are faster than disk-optimized databases because disk access is slower than memory access and the internal optimization algorithms are simpler and execute fewer CPU instructions. Accessing data in memory eliminates seek time when querying the data, which provides faster and more predictable performance than disk. Applications where response time is critical, such as those running telecommunications network equipment and mobile advertising networks, often use main-memory databases. IMDBs have gained much traction, especially in the data analytics space, starting in the 2000s in science and technology, mid-2000s – mainly due to multi-core processors that can address large memory and due ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Amazon Redshift
Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), to handle large scale data sets and database migrations. Redshift differs from Amazon's other hosted database offering, Amazon RDS, in its ability to handle analytic workloads on big data data sets stored by a column-oriented DBMS principle. Redshift allows up to 16 petabytes of data on a cluster. Redshift uses parallel processing and compression to decrease command execution time. Amazon Redshift is based on an older version of PostgreSQL 8.0.2, and Redshift has made changes to that version. An initial preview beta was released in November 2012 and a full release was made available on February 15, 2013. Amazon has listed a number of business intelligence software proprietors as partners and tested tools in their " ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
