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DBMS > Coveo vs. Hazelcast vs. mSQL vs. NuoDB vs. Splice Machine

System Properties Comparison Coveo vs. Hazelcast vs. mSQL vs. NuoDB vs. Splice Machine

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHazelcast  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNuoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA widely adopted in-memory data gridmSQL (Mini SQL) is a simple and lightweight RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.coveo.comhazelcast.comhughestech.com.au/­products/­msqlwww.3ds.com/­nuodb-distributed-sql-databasesplicemachine.com
Technical documentationdocs.coveo.comhazelcast.org/­imdg/­docsdoc.nuodb.comsplicemachine.com/­how-it-works
DeveloperCoveoHazelcastHughes TechnologiesDassault Systèmes infooriginally NuoDB, Inc.Splice Machine
Initial release20122008199420132014
Current release5.3.6, November 20234.4, October 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree licenses can be providedcommercial infolimited edition freeOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++Java
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesyesyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesyes
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
JavaScript
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoJava, SQLyes infoJava
Triggersyesyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapnoneyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTemporary tableyes
User concepts infoAccess controlgranular access controls, API key management, content filtersRole-based access controlnoStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standard

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More resources
CoveoHazelcastmSQL infoMini SQLNuoDBSplice Machine
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