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DBMS > HarperDB vs. Kinetica vs. MongoDB

System Properties Comparison HarperDB vs. Kinetica vs. MongoDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonKinetica  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.Fully vectorized database across both GPUs and CPUsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#224  Overall
#34  Document stores
Score0.74
Rank#202  Overall
#97  Relational DBMS
Score488.57
Rank#5  Overall
#1  Document stores
Websiteharperdb.iowww.kinetica.comwww.mongodb.com
Technical documentationharperdb.io/­developers/­documentation/­overviewwww.kinetica.com/­docsdocs.mongodb.com/­manual
DeveloperHarperDBKineticaMongoDB, Inc
Initial release201720122009
Current release3.1, August 20217.1, August 20215.0.5, December 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
HarperDB Cloud: Get To Market Faster, For Less Money Using Our Built-in API.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageNode.jsC, C++C++
Server operating systemsLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemedynamic schemayesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like DML and DDL statementsRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
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
C++
Java
JavaScript (Node.js)
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1user defined functionsJavaScript
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelAccess rights for users and roles
More information provided by the system vendor
HarperDBKineticaMongoDB
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics6,800 + npm downloads 1,600 + on Docker Hub 2,600 + cloud & local signups
» more
The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A database is only as powerful as it...
» more
Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Related products and services
3rd partiesFivetran: Quickly and easily centralize your on-premise and cloud databases.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HarperDBKineticaMongoDB
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HarperDB: An underdog SQL / NoSQL database
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Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
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Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

Incredible Growth of GPU Database Market by 2028 | Kinetica, Omnisci, Sqream
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The Global GPU Database Market is expected to grow by $ 361.56 mn during 2021-2025, progressing at a CAGR of 17.82% during the forecast period
21 December 2021, Yahoo Finance

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