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DBMS > Apache Phoenix vs. EsgynDB vs. Firebird vs. LokiJS vs. Stardog

System Properties Comparison Apache Phoenix vs. EsgynDB vs. Firebird vs. LokiJS vs. Stardog

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebird  Xexclude from comparisonLokiJS  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFirebird is an open source RDBMS forked from Borland's InterBaseIn-memory JavaScript DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitephoenix.apache.orgwww.esgyn.cnwww.firebirdsql.orggithub.com/­techfort/­LokiJSwww.stardog.com
Technical documentationphoenix.apache.orgwww.firebirdsql.org/­en/­reference-manualstechfort.github.io/­LokiJSdocs.stardog.com
DeveloperApache Software FoundationEsgynFirebird FoundationStardog-Union
Initial release201420152000 infoAs fork of Borland's InterBase20142010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0.0, January 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoInitial Developer's Public LicenseOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC and C++JavaScriptJava
Server operating systemsLinux
Unix
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyesyes infovia viewsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesyesyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JavaScript APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
JavaScript.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsJava Stored ProceduresPSQLView functions in JavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersSource-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoAccess rights for users and roles

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More resources
Apache PhoenixEsgynDBFirebirdLokiJSStardog
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