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DBMS > Hive vs. NSDb vs. Prometheus vs. Qdrant vs. Quasardb

System Properties Comparison Hive vs. NSDb vs. Prometheus vs. Qdrant vs. Quasardb

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNSDb  Xexclude from comparisonPrometheus  Xexclude from comparisonQdrant  Xexclude from comparisonQuasardb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen-source Time Series DBMS and monitoring systemA high-performance vector database with neural network or semantic-based matchingDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitehive.apache.orgnsdb.ioprometheus.iogithub.com/­qdrant/­qdrant
qdrant.tech
quasar.ai
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homensdb.io/­Architectureprometheus.io/­docsqdrant.tech/­documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookQdrantquasardb
Initial release20122017201520212009
Current release3.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaJava, ScalaGoRustC++
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
Windows
Docker
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringNumeric data onlyNumbers, Strings, Geo, Booleanyes infointeger and binary
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.nono infoImport of XML data possiblenono
Secondary indexesyesall fields are automatically indexednoyes infoKeywords, numberic ranges, geo, full-textyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenonoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
WebSocket
RESTful HTTP/JSON APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Supported programming languagesC++
Java
PHP
Python
Java
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationCollection-level replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencynoneEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesnoKey-based authenticationCryptographically strong user authentication and audit trail

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