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DBMS > GridGain vs. Hyprcubd vs. Microsoft Azure Table Storage vs. Pinecone

System Properties Comparison GridGain vs. Hyprcubd vs. Microsoft Azure Table Storage vs. Pinecone

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPinecone  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteServerless Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsA managed, cloud-native vector database
Primary database modelKey-value store
Relational DBMS
Time Series DBMSWide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.gridgain.comhyprcubd.com (offline)azure.microsoft.com/­en-us/­services/­storage/­tableswww.pinecone.io
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperGridGain Systems, Inc.Hyprcubd, Inc.MicrosoftPinecone Systems, Inc
Initial release200720122019
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGo
Server operating systemsLinux
OS X
Solaris
Windows
hostedhostedhosted
Data schemeyesyesschema-free
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.yesnonono
Secondary indexesyesnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languagenono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https)RESTful HTTP APIRESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesnonono
User concepts infoAccess controlSecurity Hooks for custom implementationstoken accessAccess rights based on private key authentication or shared access signatures

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More resources
GridGainHyprcubdMicrosoft Azure Table StoragePinecone
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