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DBMS > Bangdb vs. BigObject vs. Neo4j vs. Riak KV

System Properties Comparison Bangdb vs. BigObject vs. Neo4j vs. Riak KV

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBigObject  Xexclude from comparisonNeo4j  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAnalytic DBMS for real-time computations and queriesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDistributed, fault tolerant key-value store
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitebangdb.combigobject.ioneo4j.com
Technical documentationdocs.bangdb.comdocs.bigobject.ioneo4j.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperSachin Sinha, BangDBBigObject, Inc.Neo4j, Inc.OpenSource, formerly Basho Technologies
Initial release2012201520072009
Current releaseBangDB 2.0, October 20215.20, May 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infofree community edition availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache version 2, commercial enterprise edition
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 languageC, C++Java, ScalaErlang
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesno
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infopluggable indexing subsystem, by default Apache Lucenerestricted
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoLuayes infoUser defined Procedures and FunctionsErlang
Triggersyes, Notifications (with Streaming only)noyes infovia event handleryes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneyes using Neo4j FabricSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyes infoRelationships in graphsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)noUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes, using Riak Security
More information provided by the system vendor
BangdbBigObjectNeo4jRiak KV
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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