DBMS > Altibase vs. GridDB vs. searchxml
System Properties Comparison Altibase vs. GridDB vs. searchxml
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|Editorial information provided by DB-Engines|
|Name||Altibase Xexclude from comparison||GridDB Xexclude from comparison||searchxml Xexclude from comparison|
|Description||An enterprise grade, high-performance RDBMS||Scalable in-memory time series database optimized for IoT and Big Data||DBMS for structured and unstructured content wrapped with an application server|
|Primary database model||Relational DBMS||Time Series DBMS||Native XML DBMS|
|Secondary database models||Key-value store|
|Developer||Altibase||Toshiba Corporation||informationpartners gmbh|
|Current release||v18.104.22.168.3, March 2021||5.1, August 2022||1.0|
|License Commercial or Open Source||Open Source since February 2018||Open Source AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||AIX|
|Typing predefined data types such as float or date||yes||yes numerical, string, blob, geometry, boolean, timestamp||yes|
|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||no||yes|
|SQL Support of SQL||ANSI SQL-92||SQL92, SQL-like TQL (Toshiba Query Language)||no|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
|RESTful HTTP API|
|Supported programming languages||C|
|C++ most other programming languages supported via APIs|
|Server-side scripts Stored procedures||stored procedures and stored functions||no||yes on the application server|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Source-replica replication||yes sychronisation to multiple collections|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate consistency within container, eventual consistency across containers||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID at container level||multiple readers, single writer|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Access rights for users can be defined per database||Domain, group and role-based access control at the document level and for application services|
|More information provided by the system vendor|
|Specific characteristics||GridDB is a highly scalable, in-memory time series database optimized for IoT and...|
|Competitive advantages||1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...|
|Typical application scenarios||Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.|
|Key customers||Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...|
|Market metrics||GitHub trending repository|
|Licensing and pricing models||Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)|
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