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DBMS > Google Cloud Spanner vs. InfluxDB vs. Neo4j vs. TigerGraph

System Properties Comparison Google Cloud Spanner vs. InfluxDB vs. Neo4j vs. TigerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonInfluxDB  Xexclude from comparisonNeo4j  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA 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.DBMS for storing time series, events and metricsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websitecloud.google.com/­spannerwww.influxdata.com/­products/­influxdb-overviewneo4j.comwww.tigergraph.com
Technical documentationcloud.google.com/­spanner/­docsdocs.influxdata.com/­influxdbneo4j.com/­docsdocs.tigergraph.com
DeveloperGoogleNeo4j, Inc.
Initial release2017201320072017
Current release2.7.5, January 20245.18.1, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageGoJava, ScalaC++
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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 indexesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP API
JSON over UDP
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functionsyes
Triggersnonoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factor infoin enterprise version onlyCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
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
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple rights management via user accountsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access control
More information provided by the system vendor
Google Cloud SpannerInfluxDBNeo4jTigerGraph
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
GPL 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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Recent citations in the news

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14 October 2023, InfoQ.com

Google makes its Cloud Spanner database service faster and more cost-efficient
11 October 2023, SiliconANGLE News

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15 March 2024, Datanami

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New TigerGraph CEO Refocuses Efforts on Enterprise Customers
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TigerGraph update adds enterprise-scale capabilities
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10 January 2024, VnExpress International

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