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DBMS > Amazon Neptune vs. Dgraph vs. GridDB vs. Ignite vs. TypeDB

System Properties Comparison Amazon Neptune vs. Dgraph vs. GridDB vs. Ignite vs. TypeDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDgraph  Xexclude from comparisonGridDB  Xexclude from comparisonIgnite  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed and scalable native Graph DBMSScalable in-memory time series database optimized for IoT and Big DataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMS
RDF store
Graph DBMSTime Series DBMSKey-value store
Relational DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteaws.amazon.com/­neptunedgraph.iogriddb.netignite.apache.orgtypedb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdgraph.io/­docsdocs.griddb.netapacheignite.readme.io/­docstypedb.com/­docs
DeveloperAmazonDgraph Labs, Inc.Toshiba CorporationApache Software FoundationVaticle
Initial release20172016201320152016
Current release5.1, August 2022Apache Ignite 2.62.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++, Java, .NetJava
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Synchronous replication via RaftSource-replica replicationyes (replicated cache)Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)yes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoPlanned for future releasesAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon NeptuneDgraphGridDBIgniteTypeDB infoformerly named Grakn
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Amazon NeptuneDgraphGridDBIgniteTypeDB infoformerly named Grakn
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