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DBMS > Coveo vs. Drizzle vs. Sadas Engine vs. Splice Machine vs. SQL.JS

System Properties Comparison Coveo vs. Drizzle vs. Sadas Engine vs. Splice Machine vs. SQL.JS

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDrizzle  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  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.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScript
Primary database modelSearch engineRelational DBMSRelational DBMSRelational DBMSRelational DBMS
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
#158  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.coveo.comwww.sadasengine.comsplicemachine.comsql.js.org
Technical documentationdocs.coveo.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-workssql.js.org/­documentation/­index.html
DeveloperCoveoDrizzle project, originally started by Brian AkerSADAS s.r.l.Splice MachineAlon Zakai infoenhancements implemented by others
Initial release20122008200620142012
Current release7.2.4, September 20128.03.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaJavaScript
Server operating systemshostedFreeBSD
Linux
OS X
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
JavaScript API
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
PHP
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnononoyes infoJavano
Triggersyesno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
CoveoDrizzleSadas EngineSplice MachineSQL.JS
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