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DBMS > Apache Druid vs. BigchainDB vs. Neo4j vs. NuoDB

System Properties Comparison Apache Druid vs. BigchainDB vs. Neo4j vs. NuoDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigchainDB  Xexclude from comparisonNeo4j  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMS
Time Series DBMS
Document storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Websitedruid.apache.orgwww.bigchaindb.comneo4j.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestneo4j.com/­docsdoc.nuodb.com
DeveloperApache Software Foundation and contributorsNeo4j, Inc.Dassault Systèmes infooriginally NuoDB, Inc.
Initial release2012201620072013
Current release29.0.1, April 20245.19, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoAGPL v3Open Source infoGPL version3, commercial licenses availablecommercial infolimited edition free
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 languageJavaPythonJava, ScalaC++
Server operating systemsLinux
OS X
Unix
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-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.nonono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and FunctionsJava, SQL
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes using Neo4j Fabricdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary table
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Standard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
Apache DruidBigchainDBNeo4jNuoDB
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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