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DBMS > Coveo vs. Datastax Enterprise vs. Dragonfly

System Properties Comparison Coveo vs. Datastax Enterprise vs. Dragonfly

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instance
Primary database modelSearch engineWide column storeKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Websitewww.coveo.comwww.datastax.com/­products/­datastax-enterprisegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationdocs.coveo.comdocs.datastax.comwww.dragonflydb.io/­docs
DeveloperCoveoDataStaxDragonflyDB team and community contributors
Initial release201220112023
Current release6.8, April 20201.0, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freescheme-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arrays
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 indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC#
Java
JavaScript
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Server-side scripts infoStored proceduresnonoLua
Triggersyesyespublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesyesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the server
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights for users can be defined per objectPassword-based authentication
More information provided by the system vendor
CoveoDatastax EnterpriseDragonfly
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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CoveoDatastax EnterpriseDragonfly
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