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DBMS > DataFS vs. LevelDB vs. Qdrant vs. TigerGraph vs. TimesTen

System Properties Comparison DataFS vs. LevelDB vs. Qdrant vs. TigerGraph vs. TimesTen

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonLevelDB  Xexclude from comparisonQdrant  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high-performance vector database with neural network or semantic-based matchingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelObject oriented DBMSKey-value storeVector DBMSGraph DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#369  Overall
#18  Object oriented DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitenewdatabase.comgithub.com/­google/­leveldbgithub.com/­qdrant/­qdrant
qdrant.tech
www.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdev.mobiland.com/­Overview.xspgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdqdrant.tech/­documentationdocs.tigergraph.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperMobiland AGGoogleQdrantOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182011202120171998
Current release1.1.263, October 20221.23, February 2021Release 22.1
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache Version 2.0commercialcommercial
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++RustC++
Server operating systemsWindowsIllumos
Linux
OS X
Windows
Docker
Linux
macOS
Windows
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoNumbers, Strings, Geo, Booleanyesyes
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.nonononono
Secondary indexesnonoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnononoSQL-like query language (GSQL)yes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C#
C++
VB.Net
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyesPL/SQL
Triggersno, except callback-events from server when changes happenednonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlWindows-ProfilenoKey-based authenticationRole-based access controlfine grained access rights according to SQL-standard

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More resources
DataFSLevelDBQdrantTigerGraphTimesTen
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