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DBMS > Blazegraph vs. Cachelot.io vs. EsgynDB vs. Greenplum vs. Solr

System Properties Comparison Blazegraph vs. Cachelot.io vs. EsgynDB vs. Greenplum vs. Solr

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCachelot.io  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonSolr  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.In-memory caching systemEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score0.00
Rank#397  Overall
#64  Key-value stores
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score9.20
Rank#48  Overall
#30  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websiteblazegraph.comcachelot.iowww.esgyn.cngreenplum.orgsolr.apache.org
Technical documentationwiki.blazegraph.comdocs.greenplum.orgsolr.apache.org/­resources.html
DeveloperBlazegraphEsgynPivotal Software Inc.Apache Software Foundation
Initial release20062015201520052006
Current release2.1.5, March 20197.0.0, September 20239.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoSimplified BSD LicensecommercialOpen 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 languageJavaC++C++, JavaJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoRDF literal typesnoyesyesyes 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.nonoyes infosince Version 4.2yes
Secondary indexesyesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languagenoyesyesSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Memcached protocolADO.NET
JDBC
ODBC
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoJava Stored ProceduresyesJava plugins
Triggersnononoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
BlazegraphCachelot.ioEsgynDBGreenplumSolr
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