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DBMS > Graph Engine vs. Oracle Berkeley DB vs. Pinecone vs. RavenDB

System Properties Comparison Graph Engine vs. Oracle Berkeley DB vs. Pinecone vs. RavenDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPinecone  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWidely used in-process key-value storeA managed, cloud-native vector databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Key-value store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Vector DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.graphengine.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.pinecone.ioravendb.net
Technical documentationwww.graphengine.io/­docs/­manualdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.pinecone.io/­docs/­overviewravendb.net/­docs
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OraclePinecone Systems, IncHibernating Rhinos
Initial release2010199420192010
Current release18.1.40, May 20205.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infocommercial license availablecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systems.NETAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoString, Number, Booleanno
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenoSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIRESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Python.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes
Triggersnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAuthorization levels configured per client per database

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More resources
Graph Engine infoformer name: TrinityOracle Berkeley DBPineconeRavenDB
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