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DBMS > BigObject vs. HarperDB vs. Pinecone

System Properties Comparison BigObject vs. HarperDB vs. Pinecone

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHarperDB  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesUltra-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.A managed, cloud-native vector database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitebigobject.iowww.harperdb.iowww.pinecone.io
Technical documentationdocs.bigobject.iodocs.harperdb.io/­docsdocs.pinecone.io/­docs/­overview
DeveloperBigObject, Inc.HarperDBPinecone Systems, Inc
Initial release201520172019
Current release3.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.js
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
hosted
Data schemeyesdynamic schema
Typing infopredefined data types such as float or dateyesyes infoJSON data 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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like data manipulation statementsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP API
Supported programming languages.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
Python
Server-side scripts infoStored proceduresLuaCustom Functions infosince release 3.1
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
BigObjectHarperDBPinecone
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