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DBMS > Amazon Neptune vs. GBase vs. InterSystems Caché vs. Qdrant vs. Teradata Aster

System Properties Comparison Amazon Neptune vs. GBase vs. InterSystems Caché vs. Qdrant vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGBase  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQdrant  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A multi-model DBMS and application serverA high-performance vector database with neural network or semantic-based matchingPlatform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Vector DBMSRelational DBMS
Secondary database modelsDocument store
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
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­neptunewww.gbase.cnwww.intersystems.com/­products/­cachegithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.intersystems.comqdrant.tech/­documentation
DeveloperAmazonGeneral Data Technology Co., Ltd.InterSystemsQdrantTeradata
Initial release20172004199720212005
Current releaseGBase 8a, GBase 8s, GBase 8c2018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial
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 languageC, Java, PythonRust
Server operating systemshostedLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeschema-freeyesdepending on used data modelschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanyes
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.noyesyesnoyes infoin Aster File Store
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoStandard with numerous extensionsyesnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
C API
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#C#
C++
Java
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsyesR packages
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningnoneShardingSharding
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.yesSource-replica replicationCollection-level replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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)yesAccess rights for users, groups and rolesKey-based authenticationfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneGBaseInterSystems CachéQdrantTeradata Aster
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