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DBMS > GridDB vs. Microsoft Access vs. Qdrant vs. Titan vs. Tkrzw

System Properties Comparison GridDB vs. Microsoft Access vs. Qdrant vs. Titan vs. Tkrzw

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQdrant  Xexclude from comparisonTitan  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable in-memory time series database optimized for IoT and Big DataMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A high-performance vector database with neural network or semantic-based matchingTitan is a Graph DBMS optimized for distributed clusters.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSVector DBMSGraph DBMSKey-value store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegriddb.netwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­thinkaurelius/­titandbmx.net/­tkrzw
Technical documentationdocs.griddb.netdeveloper.microsoft.com/­en-us/­accessqdrant.tech/­documentationgithub.com/­thinkaurelius/­titan/­wiki
DeveloperToshiba CorporationMicrosoftQdrantAurelius, owned by DataStaxMikio Hirabayashi
Initial release20131992202120122020
Current release5.1, August 20221902 (16.0.11328.20222), March 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoApache license, version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++RustJavaC++
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesNumbers, Strings, Geo, Booleanyesno
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 indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yes infobut not compliant to any SQL standardnonono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyesno
Triggersyesyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes infovia pluggable storage backendsnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneCollection-level replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersEventual Consistency, tunable consistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003Key-based authenticationUser authentification and security via Rexster Graph Serverno
More information provided by the system vendor
GridDBMicrosoft AccessQdrantTitanTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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GridDBMicrosoft AccessQdrantTitanTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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