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DBMS > Google BigQuery vs. KairosDB vs. NCache vs. Prometheus

System Properties Comparison Google BigQuery vs. KairosDB vs. NCache vs. Prometheus

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonKairosDB  Xexclude from comparisonNCache  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDistributed Time Series DBMS based on Cassandra or H2Open-Source and Enterprise in-memory Key-Value StoreOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitecloud.google.com/­bigquerygithub.com/­kairosdb/­kairosdbwww.alachisoft.com/­ncacheprometheus.io
Technical documentationcloud.google.com/­bigquery/­docskairosdb.github.iowww.alachisoft.com/­resources/­docsprometheus.io/­docs
DeveloperGoogleAlachisoft
Initial release2010201320052015
Current release1.2.2, November 20185.3.3, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEnterprise Edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaGo
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and CounterNumeric data only
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.nononono infoImport of XML data possible
Secondary indexesnonoyesno
SQL infoSupport of SQLyesnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsRESTful HTTP/JSON APIGraphite protocol
HTTP REST
Telnet API
IDistributedCache
JCache
LINQ
Proprietary native API
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript infoNode.js
PHP
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnono infosupport for stored procedures with SQL-Server CLRno
Triggersnonoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandrayesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes, with selectable consistency levelyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
none
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanooptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple password-based access controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
Google BigQueryKairosDBNCachePrometheus
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Google BigQueryKairosDBNCachePrometheus
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