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DBMS > GridGain vs. Immudb vs. Pinecone vs. Yaacomo

System Properties Comparison GridGain vs. Immudb vs. Pinecone vs. Yaacomo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonImmudb  Xexclude from comparisonPinecone  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A managed, cloud-native vector databaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeVector DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.gridgain.comgithub.com/­codenotary/­immudb
immudb.io
www.pinecone.ioyaacomo.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.immudb.iodocs.pinecone.io/­docs/­overview
DeveloperGridGain Systems, Inc.CodenotaryPinecone Systems, IncQ2WEB GmbH
Initial release2007202020192009
Current releaseGridGain 8.5.11.2.3, April 2022
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLGo
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
BSD
Linux
macOS
Solaris
Windows
z/OS
hostedAndroid
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, 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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like syntaxnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard

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More resources
GridGainImmudbPineconeYaacomo
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