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DBMS > Cassandra vs. Coveo vs. LokiJS vs. Microsoft Azure Cosmos DB

System Properties Comparison Cassandra vs. Coveo vs. LokiJS vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonCoveo  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentIn-memory JavaScript DBMSGlobally distributed, horizontally scalable, multi-model database service
Primary database modelWide column storeSearch engineDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.83
Rank#12  Overall
#1  Wide column stores
Score2.11
Rank#118  Overall
#11  Search engines
Score0.49
Rank#260  Overall
#42  Document stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecassandra.apache.orgwww.coveo.comgithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­cosmos-db
Technical documentationcassandra.apache.org/­doc/­latestdocs.coveo.comtechfort.github.io/­LokiJSlearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookCoveoMicrosoft
Initial release2008201220142014
Current release4.1.3, July 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Sourcecommercial
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.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaScript
Server operating systemsBSD
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON types
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infovia viewsyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)nonoSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP APIJavaScript APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
JavaScript.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoView functions in JavaScriptJavaScript
TriggersyesyesyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yesnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencynoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyesno infoatomic operations within a single collection possibleMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per objectgranular access controls, API key management, content filtersnoAccess rights can be defined down to the item level
More information provided by the system vendor
CassandraCoveoLokiJSMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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