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DBMS > Hive vs. Hyprcubd vs. Prometheus vs. Quasardb vs. ScyllaDB

System Properties Comparison Hive vs. Hyprcubd vs. Prometheus vs. Quasardb vs. ScyllaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHyprcubd  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonScyllaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopServerless Time Series DBMSOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitehive.apache.orghyprcubd.com (offline)prometheus.ioquasar.aiwww.scylladb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­masterdocs.scylladb.com
DeveloperApache Software Foundation infoinitially developed by FacebookHyprcubd, Inc.quasardbScyllaDB
Initial release2012201520092015
Current release3.1.3, April 20223.14.1, January 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaGoGoC++C++
Server operating systemsAll OS with a Java VMhostedLinux
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringNumeric 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 possiblenono
Secondary indexesyesnonoyes infowith tagsyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
ODBC
Thrift
gRPC (https)RESTful HTTP/JSON APIHTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++
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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes, Lua
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationSource-replica replication with selectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencynoneImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes infoin-memory tables
User concepts infoAccess controlAccess rights for users, groups and rolestoken accessnoCryptographically strong user authentication and audit trailAccess rights for users can be defined per object
More information provided by the system vendor
HiveHyprcubdPrometheusQuasardbScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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HiveHyprcubdPrometheusQuasardbScyllaDB
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