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DBMS > Apache Phoenix vs. Cloudflare Workers KV vs. Heroic vs. LevelDB vs. Qdrant

System Properties Comparison Apache Phoenix vs. Cloudflare Workers KV vs. Heroic vs. LevelDB vs. Qdrant

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable 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 matching
Primary database modelRelational DBMSKey-value storeTime Series DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitephoenix.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­spotify/­heroicgithub.com/­google/­leveldbgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationphoenix.apache.orgdevelopers.cloudflare.com/­kv/­apispotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdqdrant.tech/­documentation
DeveloperApache Software FoundationCloudflareSpotifyGoogleQdrant
Initial release20142018201420112021
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache Version 2.0
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.
Implementation languageJavaJavaC++Rust
Server operating systemsLinux
Unix
Windows
hostedIllumos
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnoNumbers, Strings, Geo, Boolean
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 indexesyesnoyes infovia Elasticsearchnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBCHTTP REST
Proprietary protocol
HQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesnoneCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoKey-based authentication

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Apache PhoenixCloudflare Workers KVHeroicLevelDBQdrant
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