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DBMS > Amazon CloudSearch vs. Coveo vs. ScyllaDB vs. Trafodion

System Properties Comparison Amazon CloudSearch vs. Coveo vs. ScyllaDB vs. Trafodion

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCoveo  Xexclude from comparisonScyllaDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCassandra and DynamoDB compatible wide column storeTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineSearch engineWide column storeRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score2.11
Rank#118  Overall
#11  Search engines
Score4.08
Rank#76  Overall
#5  Wide column stores
Websiteaws.amazon.com/­cloudsearchwww.coveo.comwww.scylladb.comtrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.coveo.comdocs.scylladb.comtrafodion.apache.org/­documentation.html
DeveloperAmazonCoveoScyllaDBApache Software Foundation, originally developed by HP
Initial release2012201220152014
Current releaseScyllaDB Open Source 5.4.1, January 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++, Java
Server operating systemshostedhostedLinuxLinux
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes infoall search fields are automatically indexedyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsHTTP APIRESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyes, LuaJava Stored Procedures
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoAtomicity and isolation are supported for single operationsACID
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.yes infoin-memory tablesno
User concepts infoAccess controlauthentication via encrypted signaturesgranular access controls, API key management, content filtersAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchCoveoScyllaDBTrafodion
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Amazon CloudSearchCoveoScyllaDBTrafodion
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