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DBMS > Drizzle vs. EsgynDB vs. OrientDB vs. Pinecone

System Properties Comparison Drizzle vs. EsgynDB vs. OrientDB vs. Pinecone

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonOrientDB  Xexclude from comparisonPinecone  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMulti-model DBMS (Document, Graph, Key/Value)A managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.esgyn.cnorientdb.orgwww.pinecone.io
Technical documentationwww.orientdb.com/­docs/­last/­index.htmldocs.pinecone.io/­docs/­overview
DeveloperDrizzle project, originally started by Brian AkerEsgynOrientDB LTD; CallidusCloud; SAPPinecone Systems, Inc
Initial release2008201520102019
Current release7.2.4, September 20123.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaJava
Server operating systemsFreeBSD
Linux
OS X
LinuxAll OS with a Java JDK (>= JDK 6)hosted
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesString, 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
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like query language, no joinsno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava, Javascript
Triggersno infohooks for callbacks inside the server can be used.noHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationship in graphs
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.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable

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More resources
DrizzleEsgynDBOrientDBPinecone
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