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DBMS > BoltDB vs. Drizzle vs. Kinetica vs. Linter vs. Neo4j

System Properties Comparison BoltDB vs. Drizzle vs. Kinetica vs. Linter vs. Neo4j

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  Xexclude from comparisonNeo4j  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsRDBMS for high security requirementsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#34  Key-value stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score0.15
Rank#339  Overall
#147  Relational DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Websitegithub.com/­boltdb/­boltwww.kinetica.comlinter.runeo4j.com
Technical documentationdocs.kinetica.comneo4j.com/­docs
DeveloperDrizzle project, originally started by Brian AkerKineticarelex.ruNeo4j, Inc.
Initial release20132008201219902007
Current release7.2.4, September 20127.1, August 20215.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercialcommercialOpen Source infoGPL version3, commercial licenses available
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageGoC++C, C++C and C++Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesschema-free and schema-optional
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono
Secondary indexesnoyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesGoC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoUser defined Procedures and Functions
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BoltDBDrizzleKineticaLinterNeo4j
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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