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DBMS > Apache Phoenix vs. Oracle NoSQL vs. ScyllaDB

System Properties Comparison Apache Phoenix vs. Oracle NoSQL vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Wide 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
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitephoenix.apache.orgwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.scylladb.com
Technical documentationphoenix.apache.orgdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.scylladb.com
DeveloperApache Software FoundationOracleScyllaDB
Initial release201420112015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201923.3, December 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
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 languageJavaJavaC++
Server operating systemsLinux
Unix
Windows
Linux
Solaris SPARC/x86
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesoptionalyes
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.nonono
Secondary indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCRESTful HTTP APIProprietary 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
C
C#
Go
Java
JavaScript (Node.js)
Python
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 functionsnoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationwith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Eventual 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 dataACIDconfigurable infoACID within a storage node (=shard)no infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infooff heap cacheyes infoin-memory tables
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesAccess rights for users can be defined per object
More information provided by the system vendor
Apache PhoenixOracle NoSQLScyllaDB
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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