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DBMS > Amazon Neptune vs. Datomic vs. HugeGraph vs. Memgraph vs. Sequoiadb

System Properties Comparison Amazon Neptune vs. Datomic vs. HugeGraph vs. Memgraph vs. Sequoiadb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemgraph  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSAn open source graph database built for real-time streaming and compatible with Neo4jNewSQL database with distributed OLTP and SQL
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSGraph DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­neptunewww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
memgraph.comwww.sequoiadb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comhugegraph.apache.org/­docsmemgraph.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonCognitectBaiduMemgraph LtdSequoiadb Ltd.
Initial release20172012201820172013
Current release1.0.6735, June 20230.9
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC and C++C++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Unix
LinuxLinux
Data schemeschema-freeyesyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infooid, date, timestamp, binary, regex
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.nonononono
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonononoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
proprietary protocol using JSON
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
Java
Groovy
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsasynchronous Gremlin script jobsJavaScript
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infodynamic graph partitioningSharding
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.none infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoedges in graphyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infowith snapshot isolationDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers, roles and permissionsUsers, roles and permissionssimple password-based access control
More information provided by the system vendor
Amazon NeptuneDatomicHugeGraphMemgraphSequoiadb
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon NeptuneDatomicHugeGraphMemgraphSequoiadb
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