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DBMS > Coveo vs. Google BigQuery vs. MySQL vs. VelocityDB

System Properties Comparison Coveo vs. Google BigQuery vs. MySQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentLarge scale data warehouse service with append-only tablesWidely used open source RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSearch engineRelational DBMSRelational DBMS infoKey/Value like access via memcached APIGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.coveo.comcloud.google.com/­bigquerywww.mysql.comvelocitydb.com
Technical documentationdocs.coveo.comcloud.google.com/­bigquery/­docsdev.mysql.com/­docvelocitydb.com/­UserGuide
DeveloperCoveoGoogleOracle infosince 2010, originally MySQL AB, then SunVelocityDB Inc
Initial release2012201019952011
Current release8.4.0, April 20247.x
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++C#
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesC#
Java
JavaScript
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoproprietary syntaxno
TriggersyesnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.noyesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesBased on Windows Authentication

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
CoveoGoogle BigQueryMySQLVelocityDB
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