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DBMS > Apache Phoenix vs. Qdrant vs. Realm vs. ScyllaDB

System Properties Comparison Apache Phoenix vs. Qdrant vs. Realm vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonQdrant  Xexclude from comparisonRealm  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA high-performance vector database with neural network or semantic-based matchingA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSVector DBMSDocument storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitephoenix.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
realm.iowww.scylladb.com
Technical documentationphoenix.apache.orgqdrant.tech/­documentationrealm.io/­docsdocs.scylladb.com
DeveloperApache Software FoundationQdrantRealm, acquired by MongoDB in May 2019ScyllaDB
Initial release2014202120142015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaRustC++
Server operating systemsLinux
Unix
Windows
Docker
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyesyes
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 indexesyesyes infoKeywords, numberic ranges, geo, full-textyesyes infocluster global secondary indices
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Java infowith Android only
Objective-C
React Native
Swift
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 proceduresuser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes, Lua
Triggersnoyes infoChange Listenersno
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
Collection-level replicationnoneselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency, tunable consistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realmyes infoin-memory tables
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyKey-based authenticationyesAccess rights for users can be defined per object
More information provided by the system vendor
Apache PhoenixQdrantRealmScyllaDB
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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Apache PhoenixQdrantRealmScyllaDB
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