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DBMS > AgensGraph vs. Alibaba Cloud Table Store vs. Drizzle vs. GridDB

System Properties Comparison AgensGraph vs. Alibaba Cloud Table Store vs. Drizzle vs. GridDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonDrizzle  Xexclude from comparisonGridDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelGraph DBMS
Relational DBMS
Wide column storeRelational DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­table-storegriddb.net
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.griddb.net
DeveloperBitnine Global Inc.AlibabaDrizzle project, originally started by Brian AkerToshiba Corporation
Initial release2016201620082013
Current release2.1, December 20187.2.4, September 20125.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGNU GPLOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Linux
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsCypher Query Language
JDBC
HTTP APIJDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
Java
Python
C
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersnonono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on subaccounts and tokensPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per database
More information provided by the system vendor
AgensGraphAlibaba Cloud Table StoreDrizzleGridDB
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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AgensGraphAlibaba Cloud Table StoreDrizzleGridDB
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