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DBMS > EJDB vs. Google Cloud Datastore vs. Neo4j vs. SAP HANA

System Properties Comparison EJDB vs. Google Cloud Datastore vs. Neo4j vs. SAP HANA

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNeo4j  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument storeDocument storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#302  Overall
#44  Document stores
Score4.87
Rank#78  Overall
#12  Document stores
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbcloud.google.com/­datastoreneo4j.comwww.sap.com/­products/­hana.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­datastore/­docsneo4j.com/­docshelp.sap.com/­hana
DeveloperSoftmotionsGoogleNeo4j, Inc.SAP
Initial release2012200820072010
Current release5.18.1, March 20242.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono infoalso available as a cloud based service
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 languageCJava, Scala
Server operating systemsserver-lesshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Appliance or cloud-service
Data schemeschema-freeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes, details hereyesyes
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 indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes
APIs and other access methodsin-process shared librarygRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnousing Google App Engineyes infoUser defined Procedures and FunctionsSQLScript, R
TriggersnoCallbacks using the Google Apps Engineyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j Fabricyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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
User concepts infoAccess controlnoAccess 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)yes
More information provided by the system vendor
EJDBGoogle Cloud DatastoreNeo4jSAP HANA
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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