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DBMS > Amazon DocumentDB vs. Hyprcubd vs. Ingres vs. Pinecone

System Properties Comparison Amazon DocumentDB vs. Hyprcubd vs. Ingres vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonPinecone  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceServerless Time Series DBMSWell established RDBMSA managed, cloud-native vector database
Primary database modelDocument storeTime Series DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteaws.amazon.com/­documentdbhyprcubd.com (offline)www.actian.com/­databases/­ingreswww.pinecone.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.actian.com/­ingresdocs.pinecone.io/­docs/­overview
DeveloperHyprcubd, Inc.Actian CorporationPinecone Systems, Inc
Initial release20191974 infooriginally developed at University Berkely in early 1970s2019
Current release11.2, May 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesString, Number, Boolean
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasIngres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolestoken accessfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHyprcubdIngresPinecone
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