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DBMS > Apache Drill vs. FoundationDB vs. NSDb vs. Postgres-XL vs. VictoriaMetrics

System Properties Comparison Apache Drill vs. FoundationDB vs. NSDb vs. Postgres-XL vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonFoundationDB  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVictoriaMetrics  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 StorageOrdered key-value store. Core features are complimented by layers.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Relational DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitedrill.apache.orggithub.com/­apple/­foundationdbnsdb.iowww.postgres-xl.orgvictoriametrics.com
Technical documentationdrill.apache.org/­docsapple.github.io/­foundationdbnsdb.io/­Architecturewww.postgres-xl.org/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationFoundationDBVictoriaMetrics
Initial release2012201320172014 infosince 2012, originally named StormDB2018
Current release1.20.3, January 20236.2.28, November 202010 R1, October 2018v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaCGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes: int, bigint, decimal, stringyes
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesnonoall fields are automatically indexedyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantsupported in specific SQL layer onlySQL-like query languageyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsin SQL-layer onlynouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourcenofine grained access rights according to SQL-standard

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More resources
Apache DrillFoundationDBNSDbPostgres-XLVictoriaMetrics
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