DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Coveo vs. Kdb vs. Microsoft Azure Table Storage vs. OrigoDB

System Properties Comparison Coveo vs. Kdb vs. Microsoft Azure Table Storage vs. OrigoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph database
Primary database modelSearch engineTime Series DBMS
Vector DBMS
Wide column storeDocument store
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.coveo.comkx.comazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.com
Technical documentationdocs.coveo.comcode.kx.comorigodb.com/­docs
DeveloperCoveoKx Systems, a division of First Derivatives plcMicrosoftRobert Friberg et al
Initial release20122000 infokdb was released 2000, kdb+ in 200320122009 infounder the name LiveDB
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC#
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnoSQL-like query language (q)nono
APIs and other access methodsRESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersyesyes infowith viewsnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersrights management via user accountsAccess rights based on private key authentication or shared access signaturesRole based authorization
More information provided by the system vendor
CoveoKdbMicrosoft Azure Table StorageOrigoDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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
CoveoKdbMicrosoft Azure Table StorageOrigoDB
Recent citations in the news

Is It Time To Consider Buying Coveo Solutions Inc. (TSE:CVO)?
6 June 2024, Yahoo Finance

Coveo Solutions Inc. (TSE:CVO) Given Average Rating of “Buy” by Analysts
10 June 2024, Defense World

Coveo's 2024 Commerce Industry Report Finds More Than 70% of Consumers are Expecting Generative AI to ...
6 June 2024, PR Newswire

CA$11.34: That's What Analysts Think Coveo Solutions Inc. (TSE:CVO) Is Worth After Its Latest Results
7 June 2024, Simply Wall St

Coveo's 2024 Commerce Industry Report Finds More Than 70% of Consumers are Expecting Generative AI to ...
10 June 2024, Directors Club News

provided by Google News

Turbocharging the Engine: KX Unleashes AI-First Transformation with kdb+
28 February 2024, Business Wire

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital ...
18 May 2023, AWS Blog

KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE
18 May 2023, PR Newswire

KX Brings the Power and Performance of kdb+ to Python Developers with PyKX
7 June 2023, Datanami

provided by Google News

Working with Azure to Use and Manage Data Lakes
7 March 2024, Simplilearn

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB
9 July 2021, hackernoon.com

Inside Azure File Storage
7 October 2015, azure.microsoft.com

How to write data to Azure Table Store with an Azure Function
14 April 2017, Experts Exchange

provided by Google News



Share this page

Featured Products

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

Neo4j logo

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

Milvus logo

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

Present your product here