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DBMS > Google Cloud Bigtable vs. Neo4j vs. Sadas Engine

System Properties Comparison Google Cloud Bigtable vs. Neo4j vs. Sadas Engine

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonNeo4j  Xexclude from comparisonSadas Engine  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.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelKey-value store
Wide column store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.49
Rank#84  Overall
#14  Key-value stores
#6  Wide column stores
Score58.42
Rank#19  Overall
#1  Graph DBMS
Score0.00
Rank#356  Overall
#155  Relational DBMS
Websitecloud.google.com/­bigtableneo4j.comwww.sadasengine.com
Technical documentationcloud.google.com/­bigtable/­docsneo4j.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperGoogleNeo4j, Inc.SADAS s.r.l.
Initial release201520072006
Current release4.4.8, June 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnono
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 languageJava, ScalaC++
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabrichorizontal partitioning
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 onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Causal 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 operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess 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)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableNeo4jSadas Engine
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
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Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
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Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
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Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
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Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
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Google Cloud BigtableNeo4jSadas Engine
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