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DBMS > Amazon Neptune vs. GBase vs. Ignite vs. ObjectBox vs. SurrealDB

System Properties Comparison Amazon Neptune vs. GBase vs. Ignite vs. ObjectBox vs. SurrealDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonObjectBox  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Extremely fast embedded database for small devices, IoT and MobileA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Object oriented DBMSDocument store
Graph DBMS
Secondary database modelsTime Series 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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­neptunewww.gbase.cnignite.apache.orgobjectbox.iosurrealdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesapacheignite.readme.io/­docsdocs.objectbox.iosurrealdb.com/­docs
DeveloperAmazonGeneral Data Technology Co., Ltd.Apache Software FoundationObjectBox LimitedSurrealDB Ltd
Initial release20172004201520172022
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.6v1.1.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Java, .NetC and C++Rust
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary native APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
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.yesyes (replicated cache)online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesSecurity Hooks for custom implementationsyesyes, based on authentication and database rules
More information provided by the system vendor
Amazon NeptuneGBaseIgniteObjectBoxSurrealDB
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More resources
Amazon NeptuneGBaseIgniteObjectBoxSurrealDB
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