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DBMS > Google Cloud Bigtable vs. GreptimeDB vs. Neo4j vs. PostGIS

System Properties Comparison Google Cloud Bigtable vs. GreptimeDB vs. Neo4j vs. PostGIS

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGreptimeDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source Time Series DBMS built for increased scalability, high performance and efficiencyScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSpatial extension of PostgreSQL
Primary database modelKey-value store
Wide column store
Time Series DBMSGraph DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Websitecloud.google.com/­bigtablegreptime.comneo4j.compostgis.net
Technical documentationcloud.google.com/­bigtable/­docsdocs.greptime.comneo4j.com/­docspostgis.net/­documentation
DeveloperGoogleGreptime Inc.Neo4j, Inc.
Initial release2015202220072005
Current release5.23, August 20243.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoGPL v2.0
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 languageRustJava, ScalaC
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyes
Secondary indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP API
JDBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoPythonyes infoUser defined Procedures and Functionsuser defined functions
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j Fabricyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyCausal 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 dataAtomic single-row operationsACIDACID
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.nono
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)yes infobased on PostgreSQL
More information provided by the system vendor
Google Cloud BigtableGreptimeDBNeo4jPostGIS
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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