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DBMS > GridDB vs. Sadas Engine vs. TDSQL for MySQL vs. XTDB

System Properties Comparison GridDB vs. Sadas Engine vs. TDSQL for MySQL vs. XTDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegriddb.netwww.sadasengine.comwww.tencentcloud.com/­products/­dcdbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.griddb.netwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.tencentcloud.com/­document/­product/­1042www.xtdb.com/­docs
DeveloperToshiba CorporationSADAS s.r.l.TencentJuxt Ltd.
Initial release2013200620132019
Current release5.1, August 20228.01.19, September 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree trial version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Clojure
Server operating systemsLinuxAIX
Linux
Windows
hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes, extensible-data-notation format
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
GridDBSadas EngineTDSQL for MySQLXTDB infoformerly named Crux
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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GridDBSadas EngineTDSQL for MySQLXTDB infoformerly named Crux
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