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DBMS > Apache Phoenix vs. Sadas Engine vs. ToroDB vs. VictoriaMetrics vs. Vitess

System Properties Comparison Apache Phoenix vs. Sadas Engine vs. ToroDB vs. VictoriaMetrics vs. Vitess

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonSadas Engine  Xexclude from comparisonToroDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonVitess  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA MongoDB-compatible JSON document store, built on top of PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solutionScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitephoenix.apache.orgwww.sadasengine.comgithub.com/­torodb/­servervictoriametrics.comvitess.io
Technical documentationphoenix.apache.orgwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
vitess.io/­docs
DeveloperApache Software FoundationSADAS s.r.l.8KdataVictoriaMetricsThe Linux Foundation, PlanetScale
Initial release20142006201620182013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.0v1.91, May 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoAGPL-V3Open Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaGoGo
Server operating systemsLinux
Unix
Windows
AIX
Linux
Windows
All OS with a Java 7 VMFreeBSD
Linux
macOS
OpenBSD
Docker
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_idyes
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 indexesyesyesyes
SQL infoSupport of SQLyesyesnoyes infowith proprietary extensions
APIs and other access methodsJDBCJDBC
ODBC
Proprietary protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
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 functionsnonoyes infoproprietary syntax
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationSynchronous replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'noyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache PhoenixSadas EngineToroDBVictoriaMetricsVitess
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