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DBMS > Apache Drill vs. Apache Phoenix vs. FoundationDB vs. VictoriaMetrics vs. Vitess

System Properties Comparison Apache Drill vs. Apache Phoenix vs. FoundationDB vs. VictoriaMetrics vs. Vitess

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFoundationDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonVitess  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseOrdered key-value store. Core features are complimented by layers.A fast, cost-effective and scalable Time Series DBMS and monitoring solutionScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitedrill.apache.orgphoenix.apache.orggithub.com/­apple/­foundationdbvictoriametrics.comvitess.io
Technical documentationdrill.apache.org/­docsphoenix.apache.orgapple.github.io/­foundationdbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
vitess.io/­docs
DeveloperApache Software FoundationApache Software FoundationFoundationDBVictoriaMetricsThe Linux Foundation, PlanetScale
Initial release20122014201320182013
Current release1.20.3, January 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20196.2.28, November 2020v1.91, May 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open 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++GoGo
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Docker
Linux
macOS
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support 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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyessupported in specific SQL layer onlynoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
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 functionsuser defined functionsin SQL-layer onlynoyes infoproprietary syntax
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSynchronous replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyLinearizable consistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoin SQL-layer onlynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoUsers with fine-grained authorization concept infono user groups or roles

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Apache DrillApache PhoenixFoundationDBVictoriaMetricsVitess
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