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DBMS > FeatureBase vs. HarperDB vs. ObjectBox vs. Pinecone

System Properties Comparison FeatureBase vs. HarperDB vs. ObjectBox vs. Pinecone

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHarperDB  Xexclude from comparisonObjectBox  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA managed, cloud-native vector database
Primary database modelRelational DBMSDocument storeObject oriented DBMS
Vector DBMS
Vector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitewww.featurebase.comwww.harperdb.iogithub.com/­objectbox
objectbox.io
www.pinecone.io
Technical documentationdocs.featurebase.comdocs.harperdb.io/­docsdocs.objectbox.iodocs.pinecone.io/­docs/­overview
DeveloperMolecula and Pilosa Open Source ContributorsHarperDBObjectBox LimitedPinecone Systems, Inc
Initial release2017201720172019
Current release2022, May 20223.1, August 20214.0 (May 2024)
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableBindings are released under Apache 2.0 infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoNode.jsC and C++
Server operating systemsLinux
macOS
Linux
OS X
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
hosted
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes, plus "flex" map-like typesString, 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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesSQL-like data manipulation statementsnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary native APIRESTful HTTP API
Supported programming languagesJava
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesyes
More information provided by the system vendor
FeatureBaseHarperDBObjectBoxPinecone
News

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29 May 2024

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29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
FeatureBaseHarperDBObjectBoxPinecone
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