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DBMS > Google Cloud Datastore vs. Neo4j vs. Oracle Coherence vs. Warp 10

System Properties Comparison Google Cloud Datastore vs. Neo4j vs. Oracle Coherence vs. Warp 10

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonNeo4j  Xexclude from comparisonOracle Coherence  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAutomatically 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 offeringsOracles in-memory data grid solutionTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeGraph DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitecloud.google.com/­datastoreneo4j.comwww.oracle.com/­java/­coherencewww.warp10.io
Technical documentationcloud.google.com/­datastore/­docsneo4j.com/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.warp10.io/­content/­02_Getting_started
DeveloperGoogleNeo4j, Inc.OracleSenX
Initial release2008200720072015
Current release5.19, April 202414.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infoApache License 2.0
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 languageJava, ScalaJavaJava
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Lucenenono
SQL infoSupport of SQLSQL-like query language (GQL)nonono
APIs and other access methodsgRPC (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
JCache
JPA
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
Server-side scripts infoStored proceduresusing Google App Engineyes infoUser defined Procedures and Functionsnoyes infoWarpScript
TriggersCallbacks using the Google Apps Engineyes infovia event handleryes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes, with selectable consistency levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
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
Eventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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)authentification to access the cache via certificates or http basic authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Google Cloud DatastoreNeo4jOracle CoherenceWarp 10
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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