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DBMS > Coveo vs. Drizzle vs. Hive vs. Riak TS

System Properties Comparison Coveo vs. Drizzle vs. Hive vs. Riak TS

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDrizzle  Xexclude from comparisonHive  Xexclude from comparisonRiak TS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelSearch engineRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.coveo.comhive.apache.org
Technical documentationdocs.coveo.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCoveoDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookOpen Source, formerly Basho Technologies
Initial release2012200820122015
Current release7.2.4, September 20123.1.3, April 20223.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlang
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyes, limited
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
PHP
C++
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceErlang
Triggersyesno infohooks for callbacks inside the server can be used.noyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesno

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More resources
CoveoDrizzleHiveRiak TS
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