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DBMS > HarperDB vs. IBM Cloudant vs. Ignite vs. MonetDB vs. Splice Machine

System Properties Comparison HarperDB vs. IBM Cloudant vs. Ignite vs. MonetDB vs. Splice Machine

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIgnite  Xexclude from comparisonMonetDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Database as a Service offering based on Apache CouchDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeDocument storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score2.75
Rank#104  Overall
#19  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.harperdb.iowww.ibm.com/­products/­cloudantignite.apache.orgwww.monetdb.orgsplicemachine.com
Technical documentationdocs.harperdb.io/­docscloud.ibm.com/­docs/­Cloudantapacheignite.readme.io/­docswww.monetdb.org/­Documentationsplicemachine.com/­how-it-works
DeveloperHarperDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationMonetDB BVSplice Machine
Initial release20172010201520042014
Current release3.1, August 2021Apache Ignite 2.6Dec2023 (11.49), December 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsErlangC++, Java, .NetCJava
Server operating systemsLinux
OS X
hostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemedynamic schemaschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesnoyesyesyes
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.nonoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsnoANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1View functions (Map-Reduce) in JavaScriptyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, Ryes infoJava
Triggersnoyesyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
yes (replicated cache)none infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoatomic operations within a document possibleACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, using LMDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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HarperDBIBM CloudantIgniteMonetDBSplice Machine
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