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DBMS > EJDB vs. Graph Engine vs. Postgres-XL vs. Prometheus vs. Solr

System Properties Comparison EJDB vs. Graph Engine vs. Postgres-XL vs. Prometheus vs. Solr

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeGraph DBMS
Key-value store
Relational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­Softmotions/­ejdbwww.graphengine.iowww.postgres-xl.orgprometheus.iosolr.apache.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationprometheus.io/­docssolr.apache.org/­resources.html
DeveloperSoftmotionsMicrosoftApache Software Foundation
Initial release201220102014 infosince 2012, originally named StormDB20152006
Current release10 R1, October 20189.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC.NET and CCGoJava
Server operating systemsserver-less.NETLinux
macOS
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesNumeric data onlyyes infosupports customizable data types and automatic typing
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.noyes infoXML type, but no XML query functionalityno infoImport of XML data possibleyes
Secondary indexesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionnoSolr Parallel SQL Interface
APIs and other access methodsin-process shared libraryRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsnoJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes

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EJDBGraph Engine infoformer name: TrinityPostgres-XLPrometheusSolr
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