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DBMS > Lovefield vs. Neo4j vs. RavenDB vs. Rockset

System Properties Comparison Lovefield vs. Neo4j vs. RavenDB vs. Rockset

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSGraph DBMSDocument storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitegoogle.github.io/­lovefieldneo4j.comravendb.netrockset.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdneo4j.com/­docsravendb.net/­docsdocs.rockset.com
DeveloperGoogleNeo4j, Inc.Hibernating RhinosRockset
Initial release2014200720102019
Current release2.1.12, February 20175.19, April 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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 languageJavaScriptJava, ScalaC#C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
hosted
Data schemeyesschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnodynamic 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.nono infoingestion from XML files supported
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoSQL-like query language (RQL)Read-only SQL queries, including JOINs
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP REST
Supported programming languagesJavaScript.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsyesno
TriggersUsing read-only observersyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j FabricShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Authorization levels configured per client per databaseAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
LovefieldNeo4jRavenDBRockset
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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