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DBMS > GridGain vs. Prometheus vs. RisingWave

System Properties Comparison GridGain vs. Prometheus vs. RisingWave

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPrometheus  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen-source Time Series DBMS and monitoring systemA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitewww.gridgain.comprometheus.iowww.risingwave.com/­database
Technical documentationwww.gridgain.com/­docs/­index.htmlprometheus.io/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperGridGain Systems, Inc.RisingWave Labs
Initial release200720152022
Current releaseGridGain 8.5.11.2, September 2023
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLGoRust
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Windows
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyStandard 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.yesno infoImport of XML data possibleno
Secondary indexesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIJDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noUDFs in Python or Java
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoby Federation
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 Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
noUsers and Roles

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More resources
GridGainPrometheusRisingWave
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