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DBMS > HarperDB vs. Ignite vs. Realm

System Properties Comparison HarperDB vs. Ignite vs. Realm

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonIgnite  Xexclude from comparisonRealm  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.Apache 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 DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.harperdb.ioignite.apache.orgrealm.io
Technical documentationdocs.harperdb.io/­docsapacheignite.readme.io/­docsrealm.io/­docs
DeveloperHarperDBApache Software FoundationRealm, acquired by MongoDB in May 2019
Initial release201720152014
Current release3.1, August 2021Apache Ignite 2.6
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC++, Java, .Net
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemedynamic schemayesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessary
Triggersnoyes (cache interceptors and events)yes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and rolesSecurity Hooks for custom implementationsyes

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