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DBMS > GridGain vs. LeanXcale vs. Oracle Rdb vs. RisingWave

System Properties Comparison GridGain vs. LeanXcale vs. Oracle Rdb vs. RisingWave

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitewww.gridgain.comwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.risingwave.com/­database
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperGridGain Systems, Inc.LeanXcaleOracle, originally developed by Digital Equipment Corporation (DEC)RisingWave Labs
Initial release2007201519842022
Current releaseGridGain 8.5.17.4.1.1, 20211.2, September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
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 languageJava, C++, .NetRust
Server operating systemsLinux
OS X
Solaris
Windows
HP Open VMSDocker
Linux
macOS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSON
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
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infothrough Apache Derbyyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)UDFs in Python or Java
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers and Roles

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More resources
GridGainLeanXcaleOracle RdbRisingWave
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