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DBMS > Amazon Neptune vs. GBase vs. Ignite vs. PostGIS vs. SiteWhere

System Properties Comparison Amazon Neptune vs. GBase vs. Ignite vs. PostGIS vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonPostGIS  Xexclude from comparisonSiteWhere  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.Spatial extension of PostgreSQLM2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Spatial DBMSTime Series DBMS
Secondary database modelsRelational 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
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.gbase.cnignite.apache.orgpostgis.netgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­neptune/­developer-resourcesapacheignite.readme.io/­docspostgis.net/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperAmazonGeneral Data Technology Co., Ltd.Apache Software FoundationSiteWhere
Initial release20172004201520052010
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.63.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source infoCommon Public Attribution License Version 1.0
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, .NetCJava
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyespredefined scheme
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.noyesyesyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLyesno
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
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)user defined functions
Triggersnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes infobased on PostgreSQLSharding infobased on HBase
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)yes infobased on PostgreSQLselectable replication factor infobased on HBase
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesSecurity Hooks for custom implementationsyes infobased on PostgreSQLUsers with fine-grained authorization concept

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More resources
Amazon NeptuneGBaseIgnitePostGISSiteWhere
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