DBMS > Sequoiadb
Sequoiadb System Properties
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|Editorial information provided by DB-Engines|
|Description||NewSQL database with distributed OLTP and SQL|
|Primary database model||Document store|
|License Commercial or Open Source||Open Source Server: AGPL; Client: Apache V2|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes oid, date, timestamp, binary, regex|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||SQL-like query language|
|APIs and other access methods||proprietary protocol using JSON|
|Supported programming languages||.Net|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Document is locked during a transaction|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||simple password-based access control|
|More information provided by the system vendor|
SequoiaDB is a financial-level distributed database including three storage modes: the distributed NewSQL, the distributed file system & object storage, and the high-performance multi-model storage.
SequoiaDB Specific Characteristics
SequoiaDB provides a leading OLTP solution in the industry, and perfectly addresses the pain points of financial-level transactional database system.
In the architecture aspect, SequoiaDB applies the native distributed architecture, and the independently developed distributed engine guarantees the elastic scale out of the DBMS and the mass data increasing. Meanwhile, SequoiaDB adapts to the distributed architecture of cloud database, which makes the transactional database infrastructure could satisfy the need of achieving the micro-services and cloud-native architecture.
In the transaction and consistency aspect, SequoiaDB guarantees ACID compliance, distributed transaction capabilities across tables and nodes, configurable consistency level between strong consistency and eventual consistency.
In the operation and maintenance aspect, SequoiaDB supports standard SQL access, and is compatible with MySQL/PostgreSQL in protocol level, which could reduce the migration and utilization difficulty of core business to the fully extent.
In the data security aspect, the high availability and disaster recovery (DR) ability cross data centers of SequoiaDB have already implemented DR backup in different sites, meeting the hyper financial-level data security needs.
|Typical application scenarios|
As a financial-level distributed database management system, SequoiaDB supports distributed OLTP, and completely compatible with MySQL/PostgreSQL, which is perfectly qualified for core transaction business. Meanwhile, SequoiaDB’s use cases range from financial industry history data platform, financial industry video platform, financial counter monitoring system, operational data lake, private cloud database platform, to computer vision and AI and more.
For more information, see typical scenarios solutions here:
2017,2018 Gartner’s Database Report Listed
More than 1000 enterprise customers and community users
Deploy on core system of more than 50 major financial institutions of Fortune-500 Level.
|Licensing and pricing models|
Open source GPL/Commercial licensing for enterprise version and services
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