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DBMS > Apache Phoenix vs. DolphinDB vs. Rockset vs. Vitess

System Properties Comparison Apache Phoenix vs. DolphinDB vs. Rockset vs. Vitess

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDolphinDB  Xexclude from comparisonRockset  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A scalable, reliable search and analytics service in the cloud, built on RocksDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitephoenix.apache.orgwww.dolphindb.comrockset.comvitess.io
Technical documentationphoenix.apache.orgdocs.dolphindb.cn/­en/­help200/­index.htmldocs.rockset.comvitess.io/­docs
DeveloperApache Software FoundationDolphinDB, IncRocksetThe Linux Foundation, PlanetScale
Initial release2014201820192013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019v2.00.4, January 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Go
Server operating systemsLinux
Unix
Windows
Linux
Windows
hostedDocker
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageRead-only SQL queries, including JOINsyes infowith proprietary extensions
APIs and other access methodsJDBCJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAdministrators, Users, GroupsAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache PhoenixDolphinDBRocksetVitess
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