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DBMS > Coveo vs. LevelDB vs. Neo4j vs. Postgres-XL

System Properties Comparison Coveo vs. LevelDB vs. Neo4j vs. Postgres-XL

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonLevelDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelSearch engineKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score2.25
Rank#115  Overall
#19  Key-value stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.coveo.comgithub.com/­google/­leveldbneo4j.comwww.postgres-xl.org
Technical documentationdocs.coveo.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdneo4j.com/­docswww.postgres-xl.org/­documentation
DeveloperCoveoGoogleNeo4j, Inc.
Initial release2012201120072014 infosince 2012, originally named StormDB
Current release1.23, February 20215.20, May 202410 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageC++Java, ScalaC
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Java
JavaScript
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functionsuser defined functions
Triggersyesnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesyesnoneyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlgranular access controls, API key management, content filtersnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
CoveoLevelDBNeo4jPostgres-XL
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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