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DBMS > BigchainDB vs. GeoSpock vs. Hyprcubd vs. Linter vs. Neo4j

System Properties Comparison BigchainDB vs. GeoSpock vs. Hyprcubd vs. Linter vs. Neo4j

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHyprcubd  Xexclude from comparisonLinter  Xexclude from comparisonNeo4j  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsSpatial and temporal data processing engine for extreme data scaleServerless Time Series DBMSRDBMS 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 modelDocument storeRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Websitewww.bigchaindb.comgeospock.comhyprcubd.com (offline)linter.runeo4j.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestneo4j.com/­docs
DeveloperGeoSpockHyprcubd, Inc.relex.ruNeo4j, Inc.
Initial release201619902007
Current release2.0, September 20195.19, April 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
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 languagePythonJava, JavascriptGoC and C++Java, Scala
Server operating systemsLinuxhostedhostedAIX
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 datenoyesyes infotime, int, uint, float, stringyesyes
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.nononono
Secondary indexestemporal, categoricalnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query languageyesno
APIs and other access methodsCLI Client
RESTful HTTP API
JDBCgRPC (https)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 languagesGo
Haskell
Java
JavaScript
Python
Ruby
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 proceduresnonoyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoUser defined Procedures and Functions
Triggersnonoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-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 systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynononoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesAccess rights for users can be defined per tabletoken accessfine 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
BigchainDBGeoSpockHyprcubdLinterNeo4j
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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