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DBMS > GridGain vs. HarperDB vs. Interbase vs. OpenMLDB

System Properties Comparison GridGain vs. HarperDB vs. Interbase vs. OpenMLDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonInterbase  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteUltra-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.Light-weight proven RDBMS infooriginally from BorlandAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.gridgain.comwww.harperdb.iowww.embarcadero.com/­products/­interbaseopenmldb.ai
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docsdocs.embarcadero.com/­products/­interbaseopenmldb.ai/­docs/­zh/­main
DeveloperGridGain Systems, Inc.HarperDBEmbarcadero4 Paradigm Inc.
Initial release2007201719842020
Current releaseGridGain 8.5.13.1, August 2021InterBase 2020, December 20192024-2 February 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetNode.jsCC++, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Android
iOS
Linux
OS X
Windows
Linux
Data schemeyesdynamic schemayesFixed schema
Typing infopredefined data types such as float or dateyesyes 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.yesnono infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.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
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1yes infoInterbase procedure and trigger languageno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infothe nodes on which a table resides can be definedInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GridGainHarperDBInterbaseOpenMLDB
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