DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > HarperDB vs. Microsoft Azure SQL Database vs. NSDb vs. Pinecone

System Properties Comparison HarperDB vs. Microsoft Azure SQL Database vs. NSDb vs. Pinecone

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Database as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA managed, cloud-native vector database
Primary database modelDocument storeRelational DBMSTime Series DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#243  Overall
#38  Document stores
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.harperdb.ioazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.iowww.pinecone.io
Technical documentationdocs.harperdb.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architecturedocs.pinecone.io/­docs/­overview
DeveloperHarperDBMicrosoftPinecone Systems, Inc
Initial release2017201020172019
Current release3.1, August 2021V12
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC++Java, Scala
Server operating systemsLinux
OS X
hostedLinux
macOS
hosted
Data schemedynamic schemayes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes: int, bigint, decimal, stringString, 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.noyesnono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like data manipulation statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
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
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1Transact SQLno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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

More resources
HarperDBMicrosoft Azure SQL Database infoformerly SQL AzureNSDbPinecone
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

HarperDB Attracts Significant Growth Investment from Serent Capital
12 June 2024, Business Wire

Defense Innovation Unit Issues Success Memo to HarperDB for its Common Operation Database Prototype
11 September 2024, PR Newswire

DoD Successfully Deploys Commercial AI Solutions for COD Project
10 September 2024, Defense Innovation Unit

Serent Capital invests in software firm HarperDB
12 June 2024, PE Hub

Wilson Sonsini Advises Serent Capital on Significant Growth Investment in HarperDB
17 June 2024, Wilson Sonsini

provided by Google News

Public Preview: New Azure SQL Database skills introduced to Microsoft Copilot in Azure
21 May 2024, Microsoft

General availability: Azure SQL updates for late-May 2024
21 May 2024, Microsoft

Public Preview: Azure SQL updates for late-May 2024
21 May 2024, Microsoft

Getting started with delivering generative AI capabilities in SQL Server and Azure SQL
26 June 2024, Microsoft

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

provided by Google News

Pinecone serverless goes multicloud as vector database market heats up
27 August 2024, VentureBeat

Using the Pinecone vector database in .NET
12 September 2024, InfoWorld

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

Pinecone Makes Accurate, Fast, Scalable Generative AI Accessible to Organizations Large and Small with Launch of its Serverless Vector Database
21 May 2024, PR Newswire

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here