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DBMS > HarperDB vs. Ignite vs. ObjectBox vs. openGauss

System Properties Comparison HarperDB vs. Ignite vs. ObjectBox vs. openGauss

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonIgnite  Xexclude from comparisonObjectBox  Xexclude from comparisonopenGauss  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.Extremely fast embedded database for small devices, IoT and MobileAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelDocument storeKey-value store
Relational DBMS
Object oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitewww.harperdb.ioignite.apache.orgobjectbox.iogitee.com/­opengauss
opengauss.org
Technical documentationdocs.harperdb.io/­docsapacheignite.readme.io/­docsdocs.objectbox.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperHarperDBApache Software FoundationObjectBox LimitedHuawei and openGauss community
Initial release2017201520172019
Current release3.1, August 2021Apache Ignite 2.63.0, March 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC++, Java, .NetC and C++C, C++, Java
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
Data schemedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsANSI-99 for query and DML statements, subset of DDLnoANSI SQL 2011
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
Proprietary native APIJDBC
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#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Java
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yes (compute grid and cache interceptors can be used instead)noyes
Triggersnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingnonehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes (replicated cache)online/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesSecurity Hooks for custom implementationsyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HarperDBIgniteObjectBoxopenGauss
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