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DBMS > Bangdb vs. Google Cloud Spanner vs. Neo4j

System Properties Comparison Bangdb vs. Google Cloud Spanner vs. Neo4j

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#340  Overall
#48  Document stores
#33  Graph DBMS
#31  Time Series DBMS
Score2.56
Rank#97  Overall
#50  Relational DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Websitebangdb.comcloud.google.com/­spannerneo4j.com
Technical documentationdocs.bangdb.comcloud.google.com/­spanner/­docsneo4j.com/­docs
DeveloperSachin Sinha, BangDBGoogleNeo4j, Inc.
Initial release201220172007
Current releaseBangDB 2.0, October 20215.23, August 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, Scala
Server operating systemsLinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free and schema-optional
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, geospatialyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL like support with command line toolyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC
C#
C++
Java
Python
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functions
Triggersyes, Notifications (with Streaming only)noyes 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 algorithmShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication with 3 replicas for regional instances.Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BangdbGoogle Cloud SpannerNeo4j
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22 March 2025, infoq.com

New features make Google's Spanner a database for AI
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Google Cloud Spanner gets dual-region configuration option
23 July 2024, InfoWorld

Google Cloud adds graph and vector search features to Spanner database
2 August 2024, techzine.eu

Google Releases Spanner Graph into General Availability
19 February 2025, infoq.com

provided by Google News

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Neo4j Launches Industry's First Graph Analytics Offering For Any Data Platform
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