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DBMS > EsgynDB vs. Solr vs. SQL.JS vs. Titan vs. Yaacomo

System Properties Comparison EsgynDB vs. Solr vs. SQL.JS vs. Titan vs. Yaacomo

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonSolr  Xexclude from comparisonSQL.JS  Xexclude from comparisonTitan  Xexclude from comparisonYaacomo  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely used distributed, scalable search engine based on Apache LucenePort of SQLite to JavaScriptTitan is a Graph DBMS optimized for distributed clusters.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSSearch engineRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.esgyn.cnsolr.apache.orgsql.js.orggithub.com/­thinkaurelius/­titanyaacomo.com
Technical documentationsolr.apache.org/­resources.htmlsql.js.org/­documentation/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperEsgynApache Software FoundationAlon Zakai infoenhancements implemented by othersAurelius, owned by DataStaxQ2WEB GmbH
Initial release20152006201220122009
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Source infoApache license, version 2.0commercial
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 languageC++, JavaJavaJavaScriptJava
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Android
Linux
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyesyes
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.noyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesSolr Parallel SQL Interfaceyes infoSQL-92 is not fully supportednoyes
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JavaScript APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScriptClojure
Java
Python
Server-side scripts infoStored proceduresJava Stored ProceduresJava pluginsnoyes
Triggersnoyes infoUser configurable commands triggered on index changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infovia pluggable storage backendshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
EsgynDBSolrSQL.JSTitanYaacomo
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