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DBMS > Bangdb vs. Neo4j vs. Oracle Rdb vs. Transwarp StellarDB

System Properties Comparison Bangdb vs. Neo4j vs. Oracle Rdb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonNeo4j  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSGraph DBMS
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
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitebangdb.comneo4j.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.bangdb.comneo4j.com/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperSachin Sinha, BangDBNeo4j, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Transwarp
Initial release201220071984
Current releaseBangDB 2.0, October 20215.20, May 20247.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGPL version3, commercial licenses availablecommercialcommercial
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, Scala
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
HP Open VMS
Data schemeschema-freeschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL like support with command line toolnoyesSQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
OpenCypher
Supported programming languagesC
C#
C++
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functions
Triggersyes, Notifications (with Streaming only)yes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes using Neo4j Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
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 modeno
User concepts infoAccess controlyes (enterprise version only)Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
BangdbNeo4jOracle RdbTranswarp StellarDB
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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