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DBMS > HarperDB vs. Heroic vs. Weaviate

System Properties Comparison HarperDB vs. Heroic vs. Weaviate

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHeroic  Xexclude from comparisonWeaviate  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelDocument storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#198  Overall
#31  Document stores
Score0.07
Rank#315  Overall
#29  Time Series DBMS
Score0.18
Rank#292  Overall
#15  Search engines
Websiteharperdb.iospotify.github.io/­heroic/­#!/­indexgithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationharperdb.io/­developers/­documentation/­overviewspotify.github.io/­heroic/­#!/­docs/­overviewwww.semi.technology/­developers/­weaviate/­current
DeveloperHarperDBSpotifySeMI Technologies B.V.
Initial release201720142017
Current release3.1, August 20211.0.3, January 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
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.
Implementation languageNode.jsJavaGo
Server operating systemsLinux
OS X
Data schemedynamic schemaschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 infovia Elasticsearchyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like data manipulation statementsnoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
GraphQL query language
RESTful HTTP/JSON 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
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesOpenID Connect Discovery
More information provided by the system vendor
HarperDBHeroicWeaviate
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Market metrics6,800 + npm downloads 1,600 + on Docker Hub 2,600 + cloud & local signups
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A database is only as powerful as it...
» more
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HarperDBHeroicWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

HarperDB Announces New Custom Functions Feature
21 September 2021, EIN News

JAMstack Radio | Ep. #85, Data Replication at Speed with Jaxon Repp of HarperDB
19 August 2021, heavybit.com

The Week 7 Victory Formation | County | mainstreetpreps.com
30 September 2021, Main Street Preps

HarperDB Releases HarperDB Cloud
22 April 2020, PRNewswire

HarperDB: An underdog SQL / NoSQL database
7 February 2018, ZDNet

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL
7 April 2021, ZDNet

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

The History of the Weaviate Vector Search Engine
9 May 2020, hackernoon.com

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

Why the rise of vector databases is a revolution for data analysis
7 July 2021, TechGenix

provided by Google News



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