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DBMS > Coveo vs. OrigoDB vs. Riak KV vs. YugabyteDB

System Properties Comparison Coveo vs. OrigoDB vs. Riak KV vs. YugabyteDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value storeHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelSearch engineDocument store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.coveo.comorigodb.comwww.yugabyte.com
Technical documentationdocs.coveo.comorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCoveoRobert Friberg et alOpenSource, formerly Basho TechnologiesYugabyte Inc.
Initial release20122009 infounder the name LiveDB20092017
Current release3.2.0, December 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC#ErlangC and C++
Server operating systemshostedLinux
Windows
Linux
OS X
Linux
OS X
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyes
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 infocan be achieved using .NETnono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLnononoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC#
Java
JavaScript
Python
.NetC 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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyesErlangyes infosql, plpgsql, C
Triggersyesyes infoDomain Eventsyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"Hash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factorBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesdepending on modelno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlgranular access controls, API key management, content filtersRole based authorizationyes, using Riak Securityyes
More information provided by the system vendor
CoveoOrigoDBRiak KVYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
CoveoOrigoDBRiak KVYugabyteDB
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