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DBMS > EventStoreDB vs. GigaSpaces vs. Pinecone

System Properties Comparison EventStoreDB vs. GigaSpaces vs. Pinecone

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA managed, cloud-native vector database
Primary database modelEvent StoreDocument store
Object oriented DBMS infoValues are user defined objects
Vector DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.eventstore.comwww.gigaspaces.comwww.pinecone.io
Technical documentationdevelopers.eventstore.comdocs.gigaspaces.com/­latest/­landing.htmldocs.pinecone.io/­docs/­overview
DeveloperEvent Store LimitedGigaspaces TechnologiesPinecone Systems, Inc
Initial release201220002019
Current release21.2, February 202115.5, September 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net
Server operating systemsLinux
Windows
Linux
macOS
Solaris
Windows
hosted
Data schemeschema-free
Typing infopredefined data types such as float or dateyesString, 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.no infoXML can be used for describing objects metadatano
Secondary indexesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
Python
Server-side scripts infoStored proceduresyes
Triggersyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlRole-based access control

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More resources
EventStoreDBGigaSpacesPinecone
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