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DBMS > HarperDB vs. Hive vs. Prometheus vs. Quasardb vs. SurrealDB

System Properties Comparison HarperDB vs. Hive vs. Prometheus vs. Quasardb vs. SurrealDB

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.data warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument storeRelational DBMSTime Series DBMSTime Series DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.harperdb.iohive.apache.orgprometheus.ioquasar.aisurrealdb.com
Technical documentationdocs.harperdb.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­mastersurrealdb.com/­docs
DeveloperHarperDBApache Software Foundation infoinitially developed by FacebookquasardbSurrealDB Ltd
Initial release20172012201520092022
Current release3.1, August 20213.1.3, April 20223.14.1, January 2024v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
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 languageNode.jsJavaGoC++Rust
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemedynamic schemayesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesNumeric data onlyyes infointeger and binaryyes
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 possibleno
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like DML and DDL statementsnoSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factoryes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailyes, based on authentication and database rules

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