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DBMS > Amazon DocumentDB vs. GridGain vs. Neo4j vs. Newts

System Properties Comparison Amazon DocumentDB vs. GridGain vs. Neo4j vs. Newts

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGridGain  Xexclude from comparisonNeo4j  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGridGain is an in-memory computing platform, built on Apache IgniteScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsTime Series DBMS based on Cassandra
Primary database modelDocument storeKey-value store
Relational DBMS
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.gridgain.comneo4j.comopennms.github.io/­newts
Technical documentationaws.amazon.com/­documentdb/­resourceswww.gridgain.com/­docs/­index.htmlneo4j.com/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperGridGain Systems, Inc.Neo4j, Inc.OpenNMS Group
Initial release2019200720072014
Current releaseGridGain 8.5.15.19, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 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, C++, .NetJava, ScalaJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP REST
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoUser defined Procedures and Functionsno
Triggersnoyes (cache interceptors and events)yes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j FabricSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes (replicated cache)Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
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.yesno
User concepts infoAccess controlAccess rights for users and rolesSecurity Hooks for custom implementationsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Amazon DocumentDBGridGainNeo4jNewts
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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