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DBMS > InterSystems Caché vs. jBASE vs. Neo4j vs. Solr

System Properties Comparison InterSystems Caché vs. jBASE vs. Neo4j vs. Solr

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonjBASE  Xexclude from comparisonNeo4j  Xexclude from comparisonSolr  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverA robust multi-value DBMS comprising development tools and middlewareScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Multivalue DBMSGraph DBMSSearch engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitewww.intersystems.com/­products/­cachewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseneo4j.comsolr.apache.org
Technical documentationdocs.intersystems.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9neo4j.com/­docssolr.apache.org/­resources.html
DeveloperInterSystemsRocket Software (formerly Zumasys)Neo4j, Inc.Apache Software Foundation
Initial release1997199120072006
Current release2018.1.4, May 20205.75.19, April 20249.5.0, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemedepending on used data modelschema-freeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesoptionalyesyes 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.yesyesyes
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesEmbedded SQL for jBASE in BASICnoSolr Parallel SQL Interface
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
.Net
Basic
Jabbascript
Java
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyesyes infoUser defined Procedures and FunctionsJava plugins
Triggersyesyesyes infovia event handleryes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
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 ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights can be defined down to the item levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
InterSystems CachéjBASENeo4jSolr
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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