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DBMS > LevelDB vs. NSDb vs. Qdrant vs. TigerGraph

System Properties Comparison LevelDB vs. NSDb vs. Qdrant vs. TigerGraph

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNSDb  Xexclude from comparisonQdrant  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high-performance vector database with neural network or semantic-based matchingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeTime Series DBMSVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegithub.com/­google/­leveldbnsdb.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.tigergraph.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdnsdb.io/­Architectureqdrant.tech/­documentationdocs.tigergraph.com
DeveloperGoogleQdrant
Initial release2011201720212017
Current release1.23, February 2021
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaRustC++
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringNumbers, Strings, Geo, Booleanyes
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 indexesnoall fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsgRPC
HTTP REST
WebSocket
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoKey-based authenticationRole-based access control

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More resources
LevelDBNSDbQdrantTigerGraph
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